Alternatives to Mass Dynamics

Compare Mass Dynamics alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Mass Dynamics in 2026. Compare features, ratings, user reviews, pricing, and more from Mass Dynamics competitors and alternatives in order to make an informed decision for your business.

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    ClinCapture

    ClinCapture

    ClinCapture

    At ClinCapture our mission is to build software that saves lives. Our technology lowers the cost of clinical trials by streamlining data capture processes while providing a platform that protects patient privacy. Clincapture advances the evaluation and development of drugs, biologics, and devices that demonstrate promise for the diagnosis and/or treatment of a wide range of diseases or medical conditions.
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    Genedata Biologics
    Genedata Biologics® streamlines discovery of biotherapeutics including bispecifics, ADCs, TCRs, CAR-Ts, and AAVs. The most widely adopted platform across the industry, it integrates all discovery workflows so you can focus on true innovation. Accelerate research with a first-in-class platform uniquely designed from the start to digitalize biotherapeutic discovery. The platform facilitates complex R&D processes by designing, tracking, testing, and assessing novel biotherapeutics drugs. It works with any format, from antibodies, bi- or multi-specifics, ADCs, novel scaffolds, and therapeutic proteins, to engineered therapeutic cell lines such as TCRs and CAR-T cells. Acting as a central end-to-end data backbone, Genedata Biologics integrates all R&D processes, from library design and immunizations, selections and panning, molecular biology, screening, protein engineering, expression, purification, and protein analytics, to candidate developability and manufacturability assessments.
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    AlphaFold

    AlphaFold

    DeepMind

    These exquisite, intricate machines are proteins. They underpin not just the biological processes in your body but every biological process in every living thing. They’re the building blocks of life. Currently, there are around 100 million known distinct proteins, with many more found every year. Each one has a unique 3D shape that determines how it works and what it does. But figuring out the exact structure of a protein remains an expensive and often time-consuming process, meaning we only know the exact 3D structure of a tiny fraction of the proteins known to science. Finding a way to close this rapidly expanding gap and predict the structure of millions of unknown proteins could not only help us tackle disease and more quickly find new medicines but perhaps also unlock the mysteries of how life itself works.
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    QIAGEN Ingenuity Pathway Analysis
    IPA can also be used for analysis of small-scale experiments that generate gene and chemical lists. IPA allows searches for targeted information on genes, proteins, chemicals, and drugs, and building of interactive models of experimental systems. Data analysis and search capabilities help in understanding the significance of data, specific targets, or candidate biomarkers in the context of larger biological or chemical systems. The software is backed by the Ingenuity Knowledge Base of highly structured, detail-rich biological and chemical findings. Learn more about QIAGEN Ingenuity Pathway Analysis (IPA). Comparison Analysis determines the most significant pathways, upstream regulators, diseases, biological functions, and more, across time points, dose, or other conditions.
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    Recursion

    Recursion

    Recursion

    Recursion is a TechBio company focused on transforming drug discovery by combining biology, data, and artificial intelligence. Founded over a decade ago, the company pioneered the use of large-scale cellular imaging to train AI models that decode the biological drivers of disease. Recursion’s mission is to deliver better medicines through novel insights and precision design, reducing the high failure rates of traditional drug development. Its proprietary Recursion OS platform integrates massive biological datasets with machine learning to accelerate discovery from target identification to clinical development. The company has built an advanced pipeline of potential first-in-class and best-in-class therapies targeting aggressive cancers and rare diseases. Automated wet labs and robotics enable millions of experiments per week, feeding continuous learning into its AI models.
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    Bruker Drug Discovery
    Bringing a new drug into the market, from the first step to the final market introduction, is a time-consuming, highly regulated, and expensive process, which can take a decade or more. Final success crucially depends on the early availability of accurate analytical results, fast enough for taking the right decisions at the beginning of the development and minimizing late attrition rates. Today’s drug development is mainly based on a rational approach where typically establishing the biological target to focus on is the first key step. This target identification requires a deep understanding of the candidates´ properties to identify the most promising ones as quickly and reliable as possible. Once a biological target has been established, finding the most promising lead molecules is often seen as the next challenge. Typically, lead discovery is the identification of potential drug candidates – either small organic molecules or biologic assemblies with therapeutic potential.
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    Amazon Bio Discovery
    Amazon Bio Discovery is an AI-powered application designed to accelerate early-stage drug discovery by combining computational biology models with real-world laboratory testing in a unified, “lab-in-the-loop” workflow. It provides scientists with direct access to a broad catalog of biological foundation models trained on large-scale biological datasets, enabling them to generate and evaluate potential drug candidates such as antibodies with greater speed and precision. Through an integrated AI agent, users can interact in natural language to select appropriate models, configure experiments, and optimize inputs without requiring advanced coding or infrastructure expertise. It allows researchers to build multi-step pipelines that combine different models, benchmark their performance, and reuse workflows across teams, improving collaboration between computational biologists and lab scientists.
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    BIOVIA Discovery Studio

    BIOVIA Discovery Studio

    Dassault Systèmes

    Today’s biopharmaceutical industry is marked by complexity: growing market demands for improved specificity and safety, novel treatment classes and more intricate mechanisms of disease. Keeping up with this complexity requires a deeper understanding of therapeutic behavior. Modeling and simulation methods provide a unique means to explore biological and physicochemical processes down to the atomic level. This can guide physical experimentation, accelerating the discovery and development process. BIOVIA Discovery Studio brings together over 30 years of peer-reviewed research and world-class in silico techniques such as molecular mechanics, free energy calculations, biotherapeutics developability and more into a common environment. It provides researchers with a complete toolset to explore the nuances of protein chemistry and catalyze discovery of small and large molecule therapeutics from Target ID to Lead Optimization.
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    Mesh Bio

    Mesh Bio

    Mesh Bio

    Based on proven medical science and explainable systems biology, DARA enables and enhances clinical decision support and intervention guidance. We work with healthcare providers and stakeholders to provide digital solutions that transform health screening and chronic disease management. We enable digital transformation of care delivery through clinical workflow automation and predictive analytics, built on gold standard clinical guidelines and best practices. We help physicians engage with patients better by providing actionable health insights through personalized disease risk and adverse event predictions. We guide pharmaceutical development by revealing pharmacodynamics in complex biological processes and find novel therapeutic interventions. Predictive analytics on multidimensional patient data will enable personalized precision medicine in the management of cardiometabolic disease to prevent catastrophic patient outcomes.
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    BenevolentAI

    BenevolentAI

    BenevolentAI

    BenevolentAI is an AI-enabled drug discovery platform and scientific technology company that unites advanced artificial intelligence, machine learning, and domain-specific science to accelerate the discovery, design, and development of new medicines for complex diseases by making sense of vast, diverse biomedical data and generating actionable scientific insights faster than traditional methods. Its proprietary Benevolent Platform ingests and harmonizes structured and unstructured biomedical information, including literature, genomics, clinical information, and multi-omics data, into a comprehensive knowledge graph, enabling scientists to reason across biological systems, generate hypotheses, predict novel drug targets, and design candidate molecules with higher confidence and lower failure rates.
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    3decision

    3decision

    Discngine

    3decision® is a cloud-based protein structure repository designed for comprehensive structural data management and advanced analytics, enabling small molecule and biologics discovery teams to accelerate structure-based drug design. It centralizes and standardizes experimental and in-silico protein structures from public sources like RCSB PDB and AlphaFoldDB, as well as proprietary data, supporting formats like PDBx/mmCIF and ModelCIF. This ensures easy access to X-Ray, NMR, cryo-EM, and modeled structures, fostering collaboration and enhancing research efforts. Beyond storage, 3decision® enriches entries with metadata and sequence information, including protein-ligand interactions, antibody annotations, and binding site details. Advanced analytical tools identify druggable sites, assess off-target risks, and enable binding site comparisons, transforming vast structural data into actionable knowledge. Its cloud-based platform facilitates collaboration among research teams.
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    PDQuest

    PDQuest

    Bio-Rad Laboratories

    PDQuest 2-D analysis software, version 8.0, offers comprehensive and flexible 2-D gel electrophoretic analysis. Choose PDQuest Basic for simple 2-D gel analysis or PDQuest Advanced for the latest available features for 2-D gel-based expression proteomics studies. Whether you choose the basic or advanced version, the sophisticated analysis tools reveal subtle differences among 2-D gels. Powerful auto-matching algorithms quickly and accurately match gels with little or no manual intervention. PDQuest software's flexible annotation features make it a useful tool to establish a centralized information repository, which allows virtually any type of characterizing data to be linked to each spot on a master gel image. It is easy to view and share information associated with identified proteins. Spot cutting configurations for high accuracy, high throughput, and flexibility in protein identification experiments.
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    CDD Vault

    CDD Vault

    Collaborative Drug Discovery

    With CDD Vault, you can intuitively organize chemical structures and biological study data, and collaborate with internal or external partners through an easy to use web interface. Start your free trial and see first hand how easy it is to manage drug discovery data. Tailored for you Affordable Scales with your project team(s) Activity & Registration * Electronic Lab Notebook (ELN) * Visualization * Inventory * APIs * Secure Online Hosting
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    BigOmics Analytics

    BigOmics Analytics

    BigOmics Analytics

    BigOmics Analytics is a biodata analytics startup developing platforms for biologists to easily visualize and understand their omics data. Our flagship product, Omics Playground, is a user-friendly bioinformatics software for RNA-seq and proteomics data that allows users to store and interactively visualize data from experiments. BigOmics Analytics offers over 18 interactive analysis modules and 150+ interactive plots, enabling co-analysis with more than 6,000 public datasets and access to 50,000+ public gene sets and pathways. The platform also integrates drug connectivity and drug sensitivity databases with over 30,000 drug expression profiles. Designed to facilitate collaboration between biologists and bioinformaticians, BigOmics Analytics helps users discover more while spending less time on data analysis, all without requiring coding skills. The platform ensures robust and reproducible results by utilizing best-in-class methods.
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    Evo 2

    Evo 2

    Arc Institute

    Evo 2 is a genomic foundation model capable of generalist prediction and design tasks across DNA, RNA, and proteins. It utilizes a frontier deep learning architecture to model biological sequences at single-nucleotide resolution, achieving near-linear scaling of compute and memory relative to context length. Trained with 40 billion parameters and a 1 megabase context length, Evo 2 processes over 9 trillion nucleotides from diverse eukaryotic and prokaryotic genomes. This extensive training enables Evo 2 to perform zero-shot function prediction across multiple biological modalities, including DNA, RNA, and proteins, and to generate novel sequences with plausible genomic architecture. The model's capabilities have been demonstrated in tasks such as designing functional CRISPR systems and predicting disease-causing mutations in human genes. Evo 2 is publicly accessible via Arc's GitHub repository and is integrated into the NVIDIA BioNeMo framework.
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    LiveDesign

    LiveDesign

    Schrödinger

    LiveDesign is an enterprise informatics platform that enables teams to rapidly advance drug discovery projects by collaborating, designing, experimenting, analyzing, tracking, and reporting in a centralized platform. Capture ideas alongside experimental and modeling data. Create and store new virtual compounds in a centralized database, evaluate through advanced models, and prioritize new designs. Integrate biological data and model results across federated corporate databases, apply sophisticated cheminformatics to analyze all data at once, and progress compounds faster. Drive predictions and designs using advanced physics-based methods paired with machine learning techniques to rapidly improve prediction accuracy. Work together with remote team members in real-time. Share ideas, test, revise, and advance chemical series without losing track of your work.
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    GPT-Rosalind
    GPT-Rosalind is a purpose-built frontier reasoning model developed by OpenAI to accelerate scientific research across biology, drug discovery, and translational medicine. It is designed specifically for life sciences workflows, where researchers must navigate large volumes of literature, experimental data, and specialized databases to generate and validate new ideas. It combines deep domain understanding in areas such as chemistry, genomics, protein engineering, and disease biology with advanced tool-use capabilities, allowing it to interact with scientific databases, analyze experimental outputs, and support complex, multi-step reasoning tasks. It can assist with evidence synthesis, hypothesis generation, literature review, sequence interpretation, and experimental planning, helping scientists move faster from raw data to actionable insights. GPT-Rosalind transforms complex, time-intensive research processes into more efficient AI-assisted workflows.
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    Causaly

    Causaly

    Causaly

    Leverage the power of AI to expedite the journey from bench research and laboratory insights to the launch of life-changing therapies. Gain up to 90% in research productivity by reducing your reading time from months to minutes. Cut through the noise with a high-precision, high-accuracy search to navigate the ever-growing volume of scientific literature with ease. Save time, reduce bias and increase odds of novel discoveries. Deeply explore disease biology and conduct advanced target discovery. Causaly’s high-precision knowledge graph consolidates evidence from millions of publications, making deep, unbiased scientific exploration possible. Rapidly navigate biological cause-and-effect relationships without being an expert. Get a view of all scientific documents and uncover hidden connections. Causaly’s powerful AI machine reads millions of published biomedical literature to support better decision-making and research outcomes.
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    Spotlight Analytics

    Spotlight Analytics

    HBI Solutions

    Taking any and all data, Spotlight uses proven machine learning to optimize risk insights and infuse them into any clinical workflow and any technology platform. While many of our competitors rely only on medical claims data that’s often 30 to 90 days old, we start with a comprehensive, up-to-date data set. We use real-time clinical, billing and claims data, as well as proteomic and metobolomic data to derive insights from cellular processes and metabolic pathways. Unlike other vendors that provide a single model tested on a specific data set, HBI takes the data you have—any and all data—to calibrate and optimize our proven models to the data you make available. Then we recalibrate each year or whenever your data set changes to assure you’ve always got the best results for your populations.
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    OmnibusX

    OmnibusX

    OmnibusX Company Limited

    In the world of biological data science, navigating vast and complex datasets can be a daunting task. Our software toolkit is designed to empower you by accelerating analysis, promoting accessibility, and providing comprehensive visualization tools to help you make sense of these intricate biological datasets. Our platform is built with data accessibility at its core. With just a few clicks, you can gain seamless access to extensive, high-dimensional biological datasets, including bulk RNA-seq, single-cell RNA-seq, scATAC-seq, spatial RNA-seq, and metagenome-seq. This allows you to focus less on data wrangling and more on analysis and discovery. Our integrated standard processing pipeline includes the latest tools for standard data processing. From normalization and batch correction to PCA, t-SNE, UMAP, clustering, cell type prediction, TCR/BCR, genome browser, and beyond, our pipeline is designed to streamline your workflow and provide you with reliable, reproducible results.
    Starting Price: $45/month/user
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    Kaleido

    Kaleido

    Kaleido

    The microbiome is implicated in numerous diseases and health conditions. Learn how Kaleido is leading a differentiated approach to translating the promise of the microbiome into solutions for patients. The human microbiome is a community of more than 30 trillion microbes, organisms that include bacteria, viruses, archaea and fungi, which reside on and inside the human body. Over the last decade, research has increased exponentially on the impact the microbiome has on human health, including cardiovascular disease, cancer, diabetes, Parkinson’s disease and allergies. This highly complex microbial ecosystem has been referred to as a “newly discovered organ.” Many other human organs command tens of billions of dollars for therapeutics that treat disease by modulating physiology. From a therapeutic perspective, the microbiome organ remains a largely untapped frontier in healthcare.
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    Profluent

    Profluent

    Profluent

    ​Profluent's platform revolutionizes protein design by integrating advanced AI with in-house wet-lab capabilities, enabling the creation of proteins either inspired by nature or reimagined from scratch. This holistic approach allows for precise, adaptable, and scalable solutions to complex biological challenges, delivering results that redefine what's possible with proteins. Profluent's foundation models push the frontier of protein design beyond the limitations of random discovery, facilitating the optimization of multiple attributes simultaneously, accessing greater sequence diversity, and enabling novel functionalities. By extrapolating into new protein spaces, Profluent offers unique possibilities beyond natural or patented proteins, making it cheaper, easier, and feasible for partners to achieve commercial success. Profluent's capabilities are built on a commitment to scientific rigor, leveraging diverse datasets and advanced AI to tackle challenges.
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    Nygen

    Nygen

    Nygen

    Nygen is a cloud-based single-cell RNA-seq (scRNA-seq) and multi-omics data analysis and discovery platform designed to let researchers upload, explore, visualize, analyze and interpret complex cellular datasets with an intuitive, no-code interface that supports drag-and-drop workflows and advanced scientific analysis without requiring programming expertise; it combines Nygen Analytics for rapid, reproducible scRNA-seq exploration with collaborative dashboards and publication-ready outputs, Nygen Database for accessing and hosting curated single-cell datasets to accelerate research and comparative studies, and Nygen Insights, an AI-augmented tool that delivers highly accurate cell annotations, in-depth disease impact analysis and tailored biological insights; it supports a wide range of data formats, integrates public data, enables secure cloud-based collaboration, and provides features like literature-linked evidence and biomarker-focused analyses.
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    BIOiSIM

    BIOiSIM

    VERISIMLife

    BIOiSIMTM is a first-in-class 'virtual drug development engine' that offers unprecedented value for the drug development industry by narrowing down the number of drug compounds that offer anticipated value for the treatment or cure of specific illnesses or diseases. We offer a range of translational-based solutions, customized for your pre-clinical and clinical programs. These offerings are all centered around our proven and validated BIOiSIMTM platform for small molecules, large molecules, and viruses. Our models are built on data from thousands of compounds across 7 species, leading to robustness rarely seen in the industry. With a focus on human outcomes, the platform has at its core a translatability engine that transforms insights across species. The BIOiSIMTM platform can be used before the preclinical animal trial start, allowing earlier insights and savings in expensive outsourced experimentation.
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    NVIDIA BioNeMo
    BioNeMo is an AI-powered drug discovery cloud service and framework built on NVIDIA NeMo Megatron for training and deploying large biomolecular transformer AI models at a supercomputing scale. The service includes pre-trained large language models (LLMs) and native support for common file formats for proteins, DNA, RNA, and chemistry, providing data loaders for SMILES for molecular structures and FASTA for amino acid and nucleotide sequences. The BioNeMo framework will also be available for download for running on your own infrastructure. ESM-1, based on Meta AI’s state-of-the-art ESM-1b, and ProtT5 are transformer-based protein language models that can be used to generate learned embeddings for tasks like protein structure and property prediction. OpenFold, a deep learning model for 3D structure prediction of novel protein sequences, will be available in BioNeMo service.
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    ForLife

    ForLife

    Blood Bank Computer Systems

    Find the ultimate solution to biologics management across the industry with modernized, optimized, cloud-based software that does everything you need. One of the difficulties many organizations run into with a legacy Blood Establishment Computer Software (BECS) is the need to tailor their processes and procedures to fit their software. The right software solution for your organization doesn’t ask you to change to suit its needs, it changes to suit yours and empowers you to work smarter in service to your community. ForLife is built on more than 40 years of experience in software development and the biological industry, as well as a firm dedication to future-forward competency. Our long history of innovation and support come together to form the last biologic software you’ll ever need, whether you’re a community blood center looking for a blood bank management system or a cell therapy lab looking for a better way to manage it all.
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    Myworkout

    Myworkout

    Myworkout

    We’re in the business of transformation, offering a proven success formula that rejuvenates the biological age by 7 years, improves productivity by 5%, and reduces sick leaves by 3.5 days on average. How can we? Because of our groundbreaking app which is the first and only to predict your VO2max and biological age with scientifically high accuracy. The brains behind Myworkout have been researching the beneficial effects of exercise on health, aging and disease prevention for three decades giving you the proven methods to increased productivity and more life. No matter the size of your business, Myworkout is a healthy decision that pays dividends in workforce vitality, team spirit, and more.
    Starting Price: $25 monthly
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    Healnet

    Healnet

    Healx

    Rare diseases are often not well studied and there is a limited understanding of many of the aspects necessary to support a drug discovery program. Our AI platform, Healnet, overcomes these challenges by analyzing millions of drug and disease data points to find novel connections that could be turned into new treatment opportunities. By applying frontier technologies across the discovery and development pipeline, we can run multiple stages in parallel and at scale. One disease, one target, one drug: it's an overly simple model, yet it's the one used by nearly all pharmaceutical companies. The next generation of drug discovery is AI-powered, parallel and hypothesis-free. Bringing together the key three drug discovery paradigms.
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    quattro/CM

    quattro/CM

    quattro research

    quattro research GmbH is an interdisciplinary team of scientists and IT specialists. We develop innovative solutions and products for our customers from the life science , pharma and chemistry industries. Integration and separation of databases and intellectual property after mergers and spin-offs respectively. Biological and chemical registration systems, including complex proteins, supporting the HELM notation. Scientists working with antibodies, antibodydrug-conjugates, large peptides, RNA molecules or any other biomolecule need appropriate software solutions. quattro research offers solutions for registration and management of biomolecules based on the open HELM Notation & Editor.
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    DeLorean AI Medical AI
    Medical AI is a true technology solution that comprehensively addresses chronic diseases. The hallmarks of this technology are its ability to predict, generate the next-best actions, and present the outputs in an easy-to-consume user experience. DeLorean Medical AI augments human capabilities and creates a future where we can trust both the machine and the human to make the best decisions. Our technology has been shown to improve outcomes and is the first AI to be biologically validated through third-party clinical tests. With the ability to better classify patient populations, assign risk, and predict disease state transitions, Medical AI directly leads to earlier detection and diagnosis of diseases. It can also reduce costs. Having been installed for 10+ clients, it has demonstrated both cost reductions and savings associated with real-time predictions to determine at-risk populations and next-best-action recommendations based on statistical probabilities.
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    Modul-Bio

    Modul-Bio

    Modul-Bio

    Modul-Bio provides specialized biobanking solutions designed to help laboratories and research organizations manage, trace, and share biological samples throughout their entire lifecycle. Its flagship platform, MBioLIMS BioBanking, is a modular Laboratory Information Management System created specifically for biobanks, Biological Resource Centres, and cohort projects to optimize the management of biological sample collections and associated data. It enables full traceability from sample collection and receipt through aliquoting, analysis, storage, and distribution, supporting both single-site and multi-site collaborative environments. Modul-Bio complements this core platform with MBioLABEL, which provides cryogenic labels, barcode printers, and readers for long-term physical tracking of samples even at extremely low temperatures, and eMBioBANK, a secure web-based portal that allows organizations to publish and share their biological sample catalogs.
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    Perfect E-Prescription System
    The Perfect E-Prescription System is a sophisticated software solution designed to enhance the efficiency and safety of the prescription process in healthcare settings. By enabling healthcare providers to electronically send prescriptions directly to pharmacies, it reduces the risk of errors and ensures that patients receive their medications promptly. The system includes features for managing medication histories, checking drug interactions, and accurately dosing, which altogether streamline the prescription lifecycle. Additional functionalities include the ability to manage and authorize prescription refills, which aids in chronic disease management, and real-time tracking of prescription status, which keeps both providers and patients informed. Integration with Perfect Pharmacy Manager ensures seamless workflow between prescribing and dispensing medications, thereby optimizing operational efficiency and improving patient outcomes.
    Starting Price: $5/month
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    Ozette

    Ozette

    Ozette

    Our immune system drives our most important biological processes. It protects us from sickness and disease by defending against outside invaders like pathogens and keeping our internal systems in equilibrium. No two of us share exactly the same immune makeup, and each of our systems is constantly evolving. Mapping and studying this complexity in great detail unlock the insights that accelerate research and derive better therapies for all. For too long, single-cell data analysis has lagged behind the technology that generates these data. That’s because the standard manual workflows, limited in resolution and speed, only allow for a small amount of cellular information to be seen. Advances in medicine are driving us more and more toward highly targeted treatments, with many therapies at the forefront being constructed from the patient’s own immune cells. Our AI-driven computational analysis technology unlocks insights to discover therapies and advance their development.
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    Correlation Engine
    Correlation Engine is an interactive omics knowledgebase that puts private omics data in a biological context with highly curated public data. One of the largest biological databases in the world, Correlation Engine provides life science researchers with unprecedented access to vast numbers of high-quality whole-genome analyses and insightful scientific tools. The knowledgebase enables novel discoveries by interrogating billions of data points derived from standardized analyses of whole genome studies. A suite of applications to determine biological context, a continually growing library of curated data sets, and support for multiple species and multi-omic datasets. Utilize a simple graphical user interface to leverage guided workflows, push-button applications, and APIs. Accelerate your journey from omic data to decision and get access to over 25,000 multi-omics studies (from over 250,000 signatures) that have been reanalyzed.
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    LigPlot+

    LigPlot+

    EMBL-EBI

    LigPlot+ is a successor to our original LIGPLOT program for the automatic generation of 2D ligand-protein interaction diagrams. It is run from an intuitive java interface that allows on-screen editing of the plots via mouse click-and-drag operations. In addition to the new interface, the program includes several major enhancements over the old version. When two or more ligand-protein complexes are sufficiently similar, LigPlot+ can automatically display their interaction diagrams either superposed or side by side. Any conserved interactions are highlighted. The LigPlot+ suite also now includes an update of the original DIMPLOT program for plotting protein-protein or domain-domain interactions. Users can flexibly select the interface of interest and DIMPLOT will then generate a diagram showing the residue-residue interactions across the interface. To assist in interpretation, the residues in one of the interfaces can be optionally displayed in sequence order.
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    VeraChem

    VeraChem

    VeraChem

    VeraChem LLC was founded in 2000 to advance the state of the art in computer-aided drug discovery and molecular design by developing computational chemistry methods that are based on cutting-edge basic science but are also applicable in applied science research settings. Efficient high-performance software implementations of these methods coupled with comprehensive user support are a central company strategy for product development. Current VeraChem software capabilities include protein-ligand and host-guest binding affinity prediction, fast calculation of accurate partial atomic charges for drug-like compounds, computation of energies and forces with all the commonly used empirical force fields, automatic generation of alternate resonance forms of drug-like compounds, conformational search with the powerful Tork algorithm, and automatic detection of topological and 3D molecular symmetries. VeraChem’s software packages are constructed from a modular code base.
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    Qure.ai

    Qure.ai

    Qure.ai

    Our AI products are designed to empower healthcare professionals during key moments in the medical journey. From preventive screenings, early detection, emergency care, institutional disease response and treatment adherence; we're enabling seamless workflow optimization across the care continuum. Collaborating with world-renowned healthcare experts, and training algorithms on unprecedented volumes of data, our AI is developed to uphold the strictest global regulatory standards. Backed by deep data science research our solutions anticipate care needs to aid you in constrained circumstances. Our AI solutions are ready for deployment, whenever and wherever needed. Designed to integrate with existing technological infrastructure, they are configurable with your devices of choice. We offer convenient deployment and scaling procedures while assuring industry-certified data security. Our team is there to support you every step of your AI journey.
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    Eidogen-Sertanty Target Informatics Platform (TIP)
    Eidogen-Sertanty's Target Informatics Platform (TIP) is the world's first structural informatics system and knowledgebase that enables researchers with the ability to interrogate the druggable genome from a structural perspective. TIP amplifies the rapidly expanding body of experimental protein structure information and transforms structure-based drug discovery from a low-throughput, data-scarce discipline into a high-throughput, data-rich science. Designed to help bridge the knowledge gap between bioinformatics and cheminformatics, TIP supplies drug discovery researchers with a knowledge base of information that is both distinct from and highly complementary to information furnished by existing bio- and cheminformatics platforms. TIP's seamless integration of structural data management technology with unique target-to-lead calculation and analysis capabilities enhances all stages of the discovery pipeline.
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    Genomenon

    Genomenon

    Genomenon

    Pharma companies need comprehensive genomic information to drive successful precision medicine programs, but decisions are often made using only a fraction of the data available, about 10%. Genomenon delivers 100% of the data. An efficient and cost-effective natural history research solution for pharma, ProdigyTM Patient Landscapes support the development of rare disease therapies by enhancing insights contained in retrospective and prospective health data. Using a powerful AI-driven approach, Genomenon delivers a comprehensive and expert assessment of every patient in the published medical literature, in a fraction of the time. Don’t miss anything, get insight into every genomic biomarker published in the medical literature. Every scientific assertion is supported by empirical evidence from the medical literature. Identify all genetic drivers and pinpoint which variants are known to be pathogenic according to ACMG clinical standards.
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    EpiSoft

    EpiSoft

    EpiSoft

    EpiSoft is a cloud-based medical software provider offering solutions for various healthcare specialties, including oncology, mental health, hospital preadmissions, hepatitis, and inflammatory bowel disease. Their platform includes electronic medical records (EMR), practice management, infusion drug management, and patient engagement portals. EpiSoft's EMR features integration with Medicare, health funds, and the Department of Veterans' Affairs (DVA) for faster claim payments, a scheduling module for complex care plans like chemotherapy cycles, and electronic prescriptions with seamless medication management. The cloud-based service allows access from any device, and automated SMS and email appointment reminders help reduce no-shows and cancellations. The patient portal integrates with existing hospital websites and patient administration systems, capturing validated health history and demographic data directly from patients, thereby easing administrative burdens.
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    SILCS

    SILCS

    SilcsBio

    Site-Identification by Ligand Competitive Saturation (SILCS) generates 3D maps (FragMaps) of interaction patterns for chemical functional groups with your target molecule. Site-Identification by Ligand Competitive Saturation (SILCS) generates 3D maps (FragMaps) of interaction patterns for chemical functional groups with your target molecule. SILCS reveals intricacies of dynamics and provides tools to optimize ligand scaffolds using qualitative and quantitative binding pockets insights allowing more rapid and effective drug design. SILCS uses multiple small molecule probes with various functional groups, explicit solvent modeling, and target molecule flexibility to perform protein target mapping. Visualize favorable interactions with the target macromolecule. Gain insights to design better ligands with optimally placed functional groups.
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    Oncoustics

    Oncoustics

    Oncoustics

    Oncoustics is creating and deploying advanced and patented AI solutions for low-cost, non-invasive surveillance, diagnostics, and treatment monitoring of diseases with high unmet clinical needs. Oncoustics offers a suite of disease and anatomy-focused apps that work on any PoC ultrasound and can be used by any MD/nurse/tech as a basic primary care office instrument, without the need to look at images. Oncoustics’ AI solutions turn the inexpensive point-of-care ultrasound devices into powerful diagnostic tools for faster, cost-effective detection and monitoring of diseases including diseases in the liver, prostate, kidney, breast, and thyroid. Our team is made up of experts in AI, signal processing, radiology, hepatology, digital health, and ultrasound. Inexpensive point of care diagnosis and surveillance improves outcomes through early detection and monitoring resulting in effective disease management.
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    BioSymetrics

    BioSymetrics

    BioSymetrics

    We integrate clinical and experimental data using machine learning to navigate human disease biology and advance precision medicines. Our patent-pending Contingent AI™ understands relationships within the data to provide sophisticated insights. We address data bias by iterating on machine learning models based upon decisions made in the pre-processing and feature engineering stages. We leverage zebrafish, cellular and other phenotypic animal models to validate in silico predictions in vivo experiments and genetically modify them in vitro and in vivo, to improve translation. Using active learning and computer vision on validated models for cardiac, central nervous system and rare disorders, we rapidly incorporate new data into our machine learning models.
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    Atomwise

    Atomwise

    Atomwise

    We use our AI engine to transform drug discovery. Our discoveries help create better medicines faster. Our AI-enabled discovery portfolio includes wholly-owned and co-developed pipeline assets, and is backed by prominent investors. Atomwise developed a machine-learning-based discovery engine that combines the power of convolutional neural networks with massive chemical libraries to discover new small-molecule medicines. The secret to reinventing drug discovery with AI is people. We are dedicated to developing the best AI platform and using it to transform small molecule drug discovery. We have to tackle the most challenging, seemingly impossible targets and streamline the drug discovery process to give drug developers more shots on goal. Computational efficiency enables screening of trillions of compounds in silico, increasing the likelihood of success. Demonstrated exquisite model accuracy, overcoming the challenge of false positives.
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    CryoTrack

    CryoTrack

    CryoTrack

    CryoTrackIMS is a complete software package - ideal for molecular biology, cell banks, cellular biology, clinical samples, biorepository, biobanking, biochemistry, immunology and protein labs, high-throughput screening, QA, IVF labs and core labs and facilities. Create any box, plate or pie configuration - select rows and columns or select a Pie configuration - your box is created in seconds ready to input data. Inventory of valuable biological samples and specimen is critical for basic research and biotech business. Keeping track of large numbers and types of samples (DNA, RNA, plasmids, clones, proteins, peptides, probes, antibodies, enzymes, specimen, tissues, cell lines and more) and where they are and their precise location is a nightmare and daunting task for many that cost a great deal not only in monetary terms but also leads to frustrations and time loss. CryoTrack offers a complete solution for individual labs in universities, clinics, biotech and pharmaceutical companies.
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    Promethium

    Promethium

    Promethium

    Promethium is a GPU-powered chemistry simulation platform designed to accelerate drug and materials development by enabling faster and more accurate quantum chemistry calculations. Built from the ground up for NVIDIA datacenter GPUs like A100, it employs novel QC Ware streaming algorithms to achieve unprecedented computational speed and high throughput-to-power consumption ratios. It supports density functional theory calculations on systems with up to 2,000 atoms, allowing simulations of large molecular systems that are not feasible with legacy CPU-powered ab initio codes. For instance, a single-point calculation of a 2,056-atom protein can be completed in 14 hours on a single GPU. Promethium offers a range of capabilities, including single-point energy calculations, geometry optimization, conformer search, torsion scan, reaction path optimization, transition state optimization, interaction energy computations, and relaxed potential energy surface scans.
    Starting Price: $30 per hour
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    AutoDock

    AutoDock

    AutoDock

    AutoDock is a suite of automated docking tools. It is designed to predict how small molecules, such as substrates or drug candidates, bind to a receptor of known 3D structure. Over the years, it has been modified and improved to add new functionalities, and multiple engines have been developed. Current distributions of AutoDock consist of two generations of software: AutoDock 4 and AutoDock Vina. More recently, we developed AutoDock-GPU, an accelerated version of AutoDock4 that is hundreds of times faster than the original single-CPU docking code. AutoDock 4 actually consists of two main programs: autodock performs the docking of the ligand to a set of grids describing the target protein; autogrid pre-calculates these grids. In addition to using them for docking, the atomic affinity grids can be visualized. This can help, for example, to guide organic synthetic chemists design better binders.
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    Evo Designer

    Evo Designer

    Arc Institute

    Evo Designer is an advanced tool developed by the Arc Institute, leveraging the capabilities of the Evo 2 genomic foundation model to facilitate DNA sequence generation and analysis. This platform enables users to input nucleotide sequences or specify organisms, prompting the model to generate corresponding DNA sequences. It provides comprehensive annotations of coding regions and, for prokaryotic sequences, offers 3D protein visualizations utilizing ESMFold. Additionally, Evo Designer evaluates sequences by scoring their perplexity and per-nucleotide entropy, assisting researchers in assessing sequence complexity and variability. The underlying Evo 2 model is trained on over 9 trillion nucleotides from a diverse array of prokaryotic and eukaryotic genomes, employing a deep learning architecture that models biological sequences at single-nucleotide resolution with a context window extending up to 1 million tokens.
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    EH&S Assistant

    EH&S Assistant

    On Site Systems

    The Environmental Health & Safety Assistant is a software solution that includes a suite of modules designed to address every aspect of environmental health and safety. Because of the EH&S Assistant's modular design, clients aren't forced to pay for functionality that they don't need. We work with clients to identify their needs and build a right-sized solution. The Radiation, Chemical, and Biological Safety Assistant modules form the backbone of the EH&S Assistant. In addition to offering users a tool to help effectively and efficiently administer their Radiation, Chemical, or Biological safety programs, the data stored in these three modules provide the foundation for our supplementary modules.
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    Orbit BioSequence
    Orbit BioSequence by Questel is a powerful IP intelligence software specifically designed to help researchers, patent professionals, and biotech companies analyze and manage biological sequence data within the intellectual property (IP) landscape. It offers an advanced solution for searching, analyzing, and monitoring nucleotide and protein sequences found in patent documents, giving users unprecedented access to sequence information critical for innovation and competitive analysis. Orbit BioSequence allows users to perform highly accurate similarity and identity searches across global patent databases, helping organizations identify existing patents, avoid infringement risks, and uncover licensing or partnership opportunities. It also integrates cutting-edge search algorithms and curated datasets to ensure precision and relevance in search results.