Alternatives to Promethium
Compare Promethium alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Promethium in 2026. Compare features, ratings, user reviews, pricing, and more from Promethium competitors and alternatives in order to make an informed decision for your business.
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1
SYNTHIA Retrosynthesis Software
Merck KGaA
Expert-coded by chemists and engineered by computer scientists, SYNTHIA™ Retrosynthesis Software enables scientists to quickly find and easily navigate innovative and novel pathways for novel and published target molecules. Quickly and efficiently scan hundreds of pathways to help you identify the best option according to your needs. Explore the most cost-effective routes to your target molecules with state of the art visualization and filtering options. Easily customize search parameters to eliminate or promote reactions, reagents or classes of molecules. Explore unique and innovative syntheses that may be unknown for building your desired molecule. Easily generate a list of commercially available starting materials for your synthesis. Benefit from ISO/IEC 27001 Information Security Certification to guarantee the confidentiality, integrity, and protection of your data.Starting Price: €0 / 30 days -
2
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. -
3
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. -
4
Ascalaph Designer
Agile Molecule
Ascalaph Designer is a general-purpose program for molecular dynamic simulations. Under a single graphical environment are represented as their own implementation of molecular dynamics as well as the methods of classical and quantum mechanics of popular programs. Molecular geometry optimization with conjugate gradient methods. Shows molecular models in separate windows. Each window has two cameras, which allow the model to be simultaneously visualized from two sides and in different graphic modes. The subwindow can be opened by dragging the splitter in the right corner of each graphical window. Clicking on an atom or bond with the left mouse button slightly changes their color and a brief info about the picked object appears in the status bar. The wire-frame style is convenient for large molecules, particularly, proteins. Drawing is very fast for this style. Finally, CPK wire frame combines the properties of several above styles.Starting Price: Free -
5
alvaBuilder
Alvascience
alvaBuilder is a no-code de novo molecular design software for generating novel chemical structures that satisfy user-defined structural, physicochemical, and modeling constraints. It enables the creation of new molecules starting from scratch or by evolving existing structures using fragment-based and rule-driven approaches. alvaBuilder integrates seamlessly with QSAR/QSPR workflows, allowing users to guide molecule generation using predictive models, descriptor ranges, and property targets. The software supports medicinal chemistry, lead optimization, and virtual screening tasks by efficiently exploring chemical space while maintaining chemical feasibility and interpretability. alvaBuilder is designed for research and industrial applications where transparent, controllable, and reproducible molecular generation is required. -
6
ChemDraw
PerkinElmer
Since 1985 ChemDraw® solutions have provided powerful capabilities and integrations to help you quickly turn ideas and drawings into publications you can be proud of. A chemistry communication suite, ChemOffice+ Cloud transforms your chemical drawings into chemical knowledge by facilitating the management, reporting and presenting of your Chemistry research. ChemOffice+ Cloud, is a robust, comprehensive suite, purpose-built to simplify, facilitate, and accelerate chemistry communication. The cloud-native chemistry communication suite builds on the foundations of ChemDraw Professional and adds access to a powerful set of tools to enable scientific research. The mundane task of creating reports to communicate chemical research has become much more efficient with ChemOffice+ Cloud. With powerful capabilities to search, reuse, select, and organize chemical structures and data, chemists can use ChemOffice+ Cloud to create presentation-ready PowerPoint slides and manuscripts. -
7
QSimulate
QSimulate
QSimulate offers a suite of quantum simulation platforms that leverage quantum mechanics to solve complex, industrial-scale problems in life sciences and materials science. The QSP Life platform provides unique quantum-powered methods for drug discovery and optimization, enabling first-of-a-kind quantum simulations of ligand-protein interactions applicable throughout the computational drug discovery process. The QUELO platform performs hybrid quantum/classical free energy calculations, offering users the ability to run relative free energy calculations using the free energy perturbation (FEP) approach. Additionally, QSimulate's technology enables groundbreaking advances in quantum mechanics/molecular mechanics (QM/MM) simulations for large protein modeling. For materials science, the QSP Materials platform democratizes quantum mechanical simulations, allowing experimentalists to automate complex workflows without the need for specialization. -
8
Schrödinger
Schrödinger
Transform drug discovery and materials research with advanced molecular modeling. Our physics-based computational platform integrates differentiated solutions for predictive modeling, data analytics, and collaboration to enable rapid exploration of chemical space. Our platform is deployed by industry leaders worldwide for drug discovery, as well as for materials science in fields as diverse as aerospace, energy, semiconductors, and electronics displays. The platform powers our own drug discovery efforts, from target identification to hit discovery to lead optimization. It also drives our research collaborations to develop novel medicines for critical public health needs. With more than 150 Ph.D. scientists on our team, we invest heavily in R&D. We’ve published over 400 peer-reviewed papers that demonstrate the strength of our physics-based approaches, and we’re continually pushing the limits of computer modeling. -
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BIOVIA TURBOMOLE
Dassault Systèmes
BIOVIA TURBOMOLE is a high-performance quantum chemistry software package designed for ab initio electronic structure calculations across molecules, clusters, periodic systems, and solutions. Developed initially by the University of Karlsruhe and Forschungszentrum Karlsruhe GmbH, and now maintained by TURBOMOLE GmbH, it offers a comprehensive suite of computational methods, including density functional theory (DFT), Møller–Plesset perturbation theory, coupled-cluster techniques, and GW-Bethe–Salpeter methods. It excels in delivering accurate predictions for chemical reactions, spectroscopy, and optical device simulations, with features like reaction path optimizations, transition state searches, and solvation effects modeled using COSMO-RS. Spectroscopic capabilities encompass IR, Raman, VCD, UV-Vis, and vibronic spectra, while optical property simulations benefit from advanced spin-orbit coupling methods and relativistic all-electron calculations. -
10
Avogadro
Avogadro
Avogadro is an advanced molecule editor and visualizer designed for cross-platform use in computational chemistry, molecular modeling, bioinformatics, materials science, and related areas. It offers flexible high quality rendering and a powerful plugin architecture. Avogadro is a free, open-source molecular editor and visualization tool, designed for use on Mac, Windows, and Linux in computational chemistry, molecular modeling, bioinformatics, materials science, and related areas. It offers flexible high quality rendering and a powerful plugin architecture. -
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Aurora Drug Discovery
Aurora Fine Chemicals
Aurora employs quantum mechanics, thermodynamics, and an advanced continuous water model for solvation effects to calculate ligand´s binding affinities. This approach differs dramatically from scoring functions that are commonly used for binding affinity predictions. By including the entropy and aqueous electrostatic contributions in to the calculations directly, Aurora algorithms produce much more accurate and robust values of binding free energies. Interaction of a ligand with a protein is characterized by the value of binding free energy. The free energy (F) is the thermodynamic quantity that is directly related to experimentally measurable value of inhibition constant (IC50) and depends on electrostatic, quantum, aqueous solvation forces, as well as on statistical properties of interacting molecules. There are two major contributing quantities leading to non-additivity in F: 1) the electrostatic and solvation energy and 2) the entropy. -
12
AQBioSim
SandboxAQ
AQBioSim is a cloud-native platform developed by SandboxAQ that leverages Large Quantitative Models (LQMs) grounded in physics and chemistry to revolutionize materials discovery and optimization. By integrating Density Functional Theory (DFT), Iterative Full Configuration Interaction (iFCI), Generative AI, Bayesian Optimization, and Chemical Foundation Models, AQBioSim enables high-fidelity simulations of molecular and material behaviors under real-world conditions. AQBioSim's capabilities include predicting performance under various stresses, accelerating formulation through in silico testing, and exploring sustainable chemical processes. Notably, AQBioSim has demonstrated significant advancements in battery technology by reducing lithium-ion battery end-of-life prediction time by 95%, achieving 35x greater accuracy with 50x less data. -
13
MoluCAD
New River Kinematics
MoluCAD is a full-featured molecular modeling and visualization tool designed for Windows. It is the result of a three-year National Institutes of Health biomedical technology research project aimed at producing low-cost educational software for chemistry students. The latest version incorporates many advanced features only found in expensive workstation-based modeling packages. Ease of use, premium graphical quality, and computational robustness are the trademarks of MoluCAD. Novice users are able to quickly generate models, view them form any perspective, create reaction animations, and save all data to disk. -
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MolPad
MolPad
MolPad integrates an interactive chemistry sketcher into any online learning platform. Build open questions about molecular structure and organic chemistry that go beyond just recognizing the right answer. Discover how MolPad can enrich online chemistry education by providing a low code environment for creating dynamic content and smart assessment. With MolPad, we have developed several solutions for interactive and intuitive drawing of structural formulas, enabling the student to practice with topics like chemical naming, functional groups, and Lewis structures in a digital environment. By providing smart feedback based on specific errors, the student can gain more insight than with multiple choice questions. -
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NVIDIA BioNeMo
NVIDIA
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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HyperProtein
Hypercube
HyperProtein is Hypercube, Inc.'s new product focusing on the computational science associated with protein sequences. The product includes the analysis of one-dimensional protein sequences as well as the analysis of consequent three-dimensional protein structures. In particular, the relationship between sequence and structure is a fundamental facet of the product. Unlike individual software programs that provide capability for some aspect of protein sequence or structure, such as sequence alignment, HyperProtein puts together a multitude of Bioinformatics and Molecular Modeling tools related to the science that initiates with a protein sequence. -
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alvaModel
Alvascience
alvaModel is a software tool for building, validating, comparing, and applying QSAR and QSPR models. It supports regression and classification workflows based on molecular descriptors and fingerprints, with a strong focus on model transparency, interpretability, and scientific robustness. The software includes multiple data splitting strategies, variable selection methods, modeling algorithms, and comprehensive internal and external validation procedures. alvaModel provides diagnostic plots, applicability domain analysis, and model comparison tools to support the identification of reliable and predictive models. Designed according to best practices in chemometrics, alvaModel facilitates the development of interpretable models consistent with the OECD principles for QSAR validation, making it suitable for research and regulatory-oriented applications. The graphical interface guides users through the entire modeling workflow while allowing full control over each modeling step. -
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Chemaxon Design Hub
Chemaxon
A platform that connects scientific rationale, compound design, and computational resources. Chemaxon’s Design Hub for medicinal chemistry from analysis to prioritize ideas. Design Compounds and manage ideas within one platform. A single platform that connects scientific rationale, compound design, and computational resources. Switch from PowerPoint files to graphical and chemically searchable hypotheses that are an integral part of the compound design process. Easily work with your trusted phys-chem properties, computational models, novelty issues, or purchasable compound catalogs in a rich visual environment. Involve your CROs in the compound progression process using this secure online service. Analyze collected evidence from biological assays or experimental structural information, extract SAR, and make new hypotheses for the next optimization iteration. Store your scientific hypotheses in a “designer's ELN” (chemically aware drawing canvases). -
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ArgusLab
ArgusLab
ArgusLab is a molecular modeling, graphics, and drug design program for Windows operating systems. It’s getting a little dated by now, but remains surprisingly popular. To date, there are more than 20,000 downloads. ArgusLab is freely licensed. You don’t need to sign anything. You can use as many copies as you need if you are teaching a class where your students might benefit from using ArgusLab. You are not allowed to redistribute ArgusLab from other websites or sources. However, you may link to this website from your own websites if you like. A low-key effort is currently underway to port ArgusLab to the iPad. In addition, I’ve done some work with the Qt cross-platform development environment in an effort to support Mac, PC, and Linux.Starting Price: Free -
20
ChemDoodle
iChemLabs
ChemDoodle 2D contains thousands of chemistry features, helping you produce the highest quality graphics and saving you hours of work. We spend a very long time scrutinizing the graphics output in ChemDoodle. The software automatically orients bonds in the correct directions, merges bond strokes together, places attributes in the best locations and automatically makes smart decisions that lead to the most beautiful and appealing images. Of course, you can always override the software to your preference. Every component of the graphic is fully customizable. Whether you are looking to control bond widths, arrowhead sizes or shape transparency and color; you are in control. ChemDoodle’s drawing controls are made to clearly model the atoms and bonds they manage. Copious visual feedback is provided. There are also many options for customizing the drawing tools to your preference, including for accessibility concerns.Starting Price: $12.5 per month -
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BIOVIA Materials Studio
Dassault Systèmes
BIOVIA Materials Studio is a comprehensive modeling and simulation environment designed to enable researchers in materials science and chemistry to predict and understand the relationships between a material’s atomic and molecular structure and its properties and behavior. Utilizing an "in silico first" approach allows for the optimization of material performance in a cost-effective virtual setting prior to physical testing. It supports a wide range of materials, including catalysts, polymers, composites, metals, alloys, pharmaceuticals, batteries, and more. It offers tools for quantum, atomistic, mesoscale, statistical, analytical, and crystallization simulations, facilitating the design of advanced materials across various industries. Features include the ability to accelerate innovation, reduce R&D costs through virtual screening, and improve efficiency by automating best practices within Pipeline Pilot. -
22
Swiss-PdbViewer
Swiss-PdbViewer
Swiss-PdbViewer (aka DeepView) is an application that provides a user-friendly interface allowing to analysis of several proteins at the same time. The proteins can be superimposed in order to deduce structural alignments and compare their active sites or any other relevant parts. Amino acid mutations, H-bonds, angles, and distances between atoms are easy to obtain thanks to the intuitive graphic and menu interface. Swiss-PdbViewer (aka DeepView) has been developed since 1994 by Nicolas Guex. Swiss-PdbViewer was initially tightly linked to SWISS-MODEL, an automated homology modeling server developed within the Swiss Institute of Bioinformatics (SIB) at the Structural Bioinformatics Group at the Biozentrum in Basel. However, the SWISS-MODEL web interface evolved to a point where it is now possible to use it directly for advanced modeling. Maintaining a direct interface with Swiss-PdbViewer is too complex and no longer supported. -
23
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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YASARA
YASARA
YASARA is a molecular graphics, modeling, and simulation program for Windows, Linux, MacOS, and Android developed in 1993, that finally makes it really easy to answer your questions. With an intuitive user interface, photorealistic graphics, and support for affordable virtual reality headsets, shutter glasses, autostereoscopic displays, and input devices, YASARA creates a new level of interaction with the 'artificial reality', that allows you to focus on your goal and forget about the details of the program. YASARA is powered by PVL (Portable Vector Language), a new development framework that provides performance way above traditional software. PVL allows you to visualize even the largest proteins and enables true interactive real-time simulations with highly accurate force fields on standard PCs, making use of GPUs if available. You can push and pull molecules around and work with dynamic models instead of static pictures.Starting Price: Free -
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Chemical Computing Group
Chemical Computing Group
Chemical Computing Group (CCG) has a strong reputation for collaborative scientific support. With offices in North America, Europe and Asia, our team of PhD-level scientists works closely with our clients, providing support, hands-on training and scientific advice on a wide range of projects. CCG continuously develops new technologies with its team of mathematicians, scientists and software engineers and through scientific collaborations with customers. -
26
PyMOL
PyMOL
PyMOL is a user-sponsored molecular visualization system on an open-source foundation, maintained and distributed by Schrödinger. PyQt interface replaces Tcl/Tk and MacPyMOL on all platforms. Better third-party plugin and custom scripting support. A comprehensive software package for rendering and animating 3D structures. A plug-in for embedding 3D images and animations into PowerPoint presentations. PyMOL is a commercial product, but we make most of its source code freely available under a permissive license. The open-source project is maintained by Schrödinger and ultimately funded by everyone who purchases a PyMOL license. Open access incentive executables. Liberal evaluation policy. Improved fuse command (disallows hypervalent bonds, substitutes monovalent atoms instead of attaching to them) Properties inspector now supports unsetting settings with the “delete” key. Fix workspace disappearing on specific display resolutions. -
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StarDrop
Optibrium
With its comprehensive suite of integrated software, StarDrop™ delivers best-in-class in silico technologies within a highly visual and user-friendly interface. StarDrop™ enables a seamless flow from the latest data through predictive modeling to decision-making regarding the next round of synthesis and research, improving the speed, efficiency, and productivity of the discovery process. Successful compounds require a balance of many different properties. StarDrop™ guides you through this multi-parameter optimization challenge to target compounds with the best chance of success, saving you time and resources by enabling you to synthesize and test fewer compounds. -
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Tox Suite
ACD/Labs
Calculate drug toxicity and safety endpoints to reduce attrition rates of molecular entities that are unlikely to succeed to nomination as a drug candidate, direct new compound synthesis, and focus animal testing requirements. -
29
AIDDISON
Merck KGaA
AIDDISON™ drug discovery software combines the power of artificial intelligence (AI), machine learning (ML), and 3D computer-aided drug design (CADD) methods to act as a valuable toolkit for medicinal chemistry needs. As a unified platform for efficient and effective ligand-based and structure-based drug design, it integrates all the facets for virtual screening and supports methods for in-silico lead discovery and lead optimization. -
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alvaMolecule
Alvascience
alvaMolecule is a no-code cheminformatics tool for visualizing, curating, and standardizing molecular datasets before analysis. It supports common molecular formats (SMILES, SDF/MOL2) and lets users explore collections in grid or spreadsheet views, with automatic import of associated data. The software provides structure verification and standardization using predefined standardizers and custom SMIRKS rules, helps detect and manage duplicates, and offers scaffold analysis to summarize core frameworks. Built-in filters and charting tools enable sorting by substructure, calculated molecular descriptors, and physicochemical properties. alvaMolecule calculates ~88 structural and physicochemical properties, including drug-like and lead-like scores such as LogP, TPSA, and the Lipinski alert index, helping prepare high-quality datasets for QSAR/QSPR modeling, descriptor calculation, and virtual screening workflows. -
31
Dotmatics
Dotmatics
Dotmatics is the global leader in R&D scientific software that connects science, data, and decision-making. Combining a workflow and data platform with best-of-breed applications, we offer the first true end-to-end solutions for biology, chemistry, formulations, data management, flow cytometry, and more. Trusted by more than 2 million researchers from the world’s leading biopharma, chemicals and materials enterprises, and academic institutions, we are dedicated to working with the scientific community to help make the world a healthier, cleaner and safer place to live. Learn more about our platform and products, including GraphPad Prism, Geneious, SnapGene, Protein Metrics, LabArchives, and more. -
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alvaDesc
Alvascience
alvaDesc is a cheminformatics software for the calculation and analysis of molecular descriptors, fingerprints, and structural patterns for QSAR, QSPR, read-across, and machine learning applications. It computes more than 5,000 molecular descriptors (0D–3D), including constitutional, topological, geometrical, electronic, physicochemical, and fragment-based descriptors. The software also generates molecular fingerprints and structural pattern counts for similarity analysis, clustering, and classification. Integrated tools support descriptor filtering and correlation analysis for robust and reproducible modeling. alvaDesc integrates seamlessly with KNIME and Python, enabling efficient connection to external data analysis and machine learning workflows. It is widely used in academic and industrial research and supported by extensive documentation and scientific publications. -
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AQChemSim
SandboxAQ
AQChemSim is a cloud-native platform developed by SandboxAQ that leverages Large Quantitative Models (LQMs) grounded in physics and chemistry to revolutionize materials discovery and optimization. By integrating Density Functional Theory (DFT), Iterative Full Configuration Interaction (iFCI), Generative AI, Bayesian Optimization, and Chemical Foundation Models, AQChemSim enables high-fidelity simulations of molecular and material behaviors under real-world conditions. AQChemSim's capabilities include predicting performance under various stresses, accelerating formulation through in silico testing, and exploring sustainable chemical processes. Notably, AQChemSim has demonstrated significant advancements in battery technology by reducing lithium-ion battery end-of-life prediction time by 95%, achieving 35x greater accuracy with 50x less data. -
34
GPT-Rosalind
OpenAI
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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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. -
36
InQuanto
Quantinuum
Quantum computing offers a path forward to rapid and cost-effective development of new molecules and materials. InQuanto, a state-of-the-art quantum computational chemistry platform, represents a critical step toward this goal. Quantum chemistry aims to accurately describe and predict the fundamental properties of matter and hence is a powerful tool in the design and development of new molecules and materials. However, molecules and materials of industrial relevance are complex and not easy to accurately simulate. Today’s capabilities force a trade to either use highly accurate methods on the smallest-sized systems or use approximating techniques. InQuanto’s modular workflow enables both computational chemists and quantum algorithm developers to easily mix and match the latest quantum algorithms with advanced subroutines and error mitigation techniques to get the best out of today’s quantum platforms. -
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Chemaxon Marvin Pro
Chemaxon
Draw and publish chemical structures seamlessly with our web-based chemistry editor. Marvin Pro is a drawing tool that combines our chemically intelligent technology with a clean user interface. Chemists, researchers, and students can convert their thoughts into high-quality visual representations in no time. Marvin Pro handles a large number of objects, chemical structures, arrows, or texts, on a single canvas, and aligns them with precision. Chemical editors shouldn’t be complicated. With our intuitive solution, you can transform your chemical structure ideas into clear visuals. The quality of your chemical drawing should match the effort you put into your research. Marvin Pro allows you to create high-quality visuals that you can then present to your workplace. Let the Marvin Pro canvas become an extension of your mind. Add predefined templates or labels, color your structures, and insert images from external sources. You can even display the structure’s formula. -
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BIOVIA COSMOtherm
Dassault Systèmes
BIOVIA COSMOtherm is an advanced COSMO-RS implementation that combines quantum chemistry and thermodynamics to predict thermodynamic properties of liquids. It calculates the chemical potential of molecules in pure or mixed liquids across variable temperatures, enabling the prediction of properties such as solubility, partitioning, vapor pressure, and phase diagrams. Unlike other methods, COSMOtherm applies thermodynamically consistent equations to predict properties as functions of concentration and temperature. Key features include the ability to predict solubility of liquids, solids, and gases; activity coefficients; two-phase partitioning (e.g., LogP); phase behavior; vapor pressures; free energy of solvation; pKa; energy of transfer to liquid-liquid interfaces; micelle and membrane partitioning; and interfacial tension. COSMOtherm offers an easy-to-use graphical interface and a command-line version for seamless integration into existing workflows. -
39
Genedata Biologics
Genedata
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. -
40
ONE.AI
AlgorX
Our Next Energy is paving the way for an electric future, innovating energy storage solutions that will rapidly expand the world’s ability to access sustainable power. Our Next Energy, Inc. was founded in July 2020 by pioneers of the energy storage industry. Our collective experience uniquely positions us to accelerate the pace of electrification. We have demonstrated Gemini 001 in an electric vehicle that achieved 752 miles without recharging, signaling a paradigm shift that an electric vehicle can now store enough energy to satisfy the range needs of all consumers. The experimental battery contains 203.7 KWh and an energy density of 416 Wh/L. The Aries™ battery system yields higher system-level energy density than leading competitors. Aries™ uses safe and sustainable cathode chemistry (LFP) to avoid thermal runaway and offers a scalable architecture that can be configured in series and parallel.Starting Price: $15 per month -
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BIOVIA
Dassault Systèmes
BIOVIA solutions create an unmatched scientific management environment that can help science-based organizations create and connect biological, chemical and material innovations to improve the way we live. The industry-leading BIOVIA portfolio is focused on integrating the diversity of science, experimental processes and information requirements end-to-end across research, development, QA/QC and manufacturing. Capabilities over the areas of Scientific Informatics, Molecular Modeling/Simulation, Data Science, Laboratory Informatics, Formulation Design, BioPharma Quality & Compliance and Manufacturing Analytics. BIOVIA is committed to enhancing and speeding innovation, increasing productivity, improving quality and compliance, reducing costs and accelerating product development for customers in multiple industries. Manage and connect scientific innovation processes and information across the product lifecycle. -
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BIOVIA COSMO-RS
Dassault Systèmes
BIOVIA COSMO-RS is a comprehensive toolbox for modeling and predicting fluid phase properties, enabling chemical engineers, chemists, formulation engineers, and materials scientists to research and develop new solutions faster and more efficiently than with test and experimentation alone, thus accelerating innovation and reducing costs. COSMO-RS simulations are based on a sound scientific theory, which ensures robust and reliable predictions over the whole range of chemistry in the liquid state. The first-principle approach allows for predictions of new, not yet synthesized compounds, reaching beyond the known chemical space. BIOVIA’s COSMO team consists of the original inventors of COSMO-RS, assuring timely support and prime expertise to help solve even the most challenging problems in solution thermodynamics. Key benefits include a robust scientific foundation combining quantum chemistry and thermodynamics to ensure accuracy and reliability. -
43
ChemCopilot
ChemCopilot
ChemCopilot is an AI-native chemical formulation and product lifecycle management platform designed to transform how scientists, engineers, and R&D teams design, test, optimize, and manage chemical products and processes by combining advanced artificial intelligence with domain-specific chemistry knowledge, regulatory data, simulation capabilities, and real-time insights. It automates validation of product labels, ingredient restrictions, and safety data sheets against global compliance frameworks, eliminating disconnected spreadsheets and manual review while providing audit trails and real-time alerts to support regulatory adherence. ChemCopilot accelerates innovation by simulating chemical reactions, molecular interactions, and process workflows to predict formulation performance and outcomes that traditional general-purpose tools cannot provide, and it integrates real-time data from laboratory and industrial systems to drive data-driven decisions. -
44
Eidogen-Sertanty Target Informatics Platform (TIP)
Eidogen-Sertanty
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. -
45
ChemSketch
ACD/Labs
Comprehensive molecular structure drawing and naming. Draw chemical structures and communicate your science. -
46
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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One Virtual Source
OVS Group
One Virtual Source integrates data and improves asset performance through automated workflows. Optimize your operations and improve production in less time with a fraction of the resources. From the boardroom to the field, One Virtual Source is creating an impact in the energy industry. One Virtual Source delivers automated workflows to optimize assets. Our flexible and scalable workflows streamline data integration regardless of the data source or asset type. Asset teams equipped with One Virtual Source make better decisions faster. The One Virtual Source framework virtually integrates your data using live connections to provide an integrated view without replication or migration. It provides single-point access to all of your relational databases, real-time historians, and unstructured data, such as Microsoft® Excel®, without changing the underlying structure or displacing existing systems. -
48
Google Cirq
Google
Cirq is a Python software library for writing, manipulating, and optimizing quantum circuits, and then running them on quantum computers and quantum simulators. Cirq provides useful abstractions for dealing with today’s noisy intermediate-scale quantum computers, where details of the hardware are vital to achieving state-of-the-art results. Cirq comes with built-in simulators, both for wave functions and for density matrices. These can handle noisy quantum channels using monte carlo or full density matrix simulations. In addition, Cirq works with a state-of-the-art wavefunction simulator: qsim. These simulators can be used to mock quantum hardware with the quantum virtual machine. Cirq is used to run experiments on Google's quantum processors. Learn more about the latest experiments and access the code to se how to run them yourself. -
49
LucidShape
Synopsys
Quickly and easily create reflector or lens geometry with LucidShape FunGeo. It leverages proprietary algorithms that automatically calculate and construct optical geometries based on user-defined illuminance and intensity patterns. This unique, functional approach gives you the freedom to focus on overall design objectives rather than the implementation details of complex optical components. Accelerate LucidShape illumination simulations with GPUTrace and experience a quantum leap in speed. LucidShape is the first optical simulation software to take advantage of graphics processing unit computing to deliver simulation speed increases by orders of magnitude compared to multithreading capabilities. Use LucidShape's visualization module to demonstrate luminance effects when light sources in a model are illuminated and depict all interactions between system geometry and light sources. -
50
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.
