Search Results for "prediction"

The Sashimi project hosts the Trans-Proteomic Pipeline (TPP), a mature suite of tools for mass-spec (MS, MS/MS) based proteomics: statistical validation, quantitation, visualization, and converters from raw MS data to the open mzML/mzXML formats.

nmrshiftdb2 is a NMR database (web database) for organic structures and their nuclear magnetic resonance (nmr) spectra. It allows for spectrum prediction (13C, 1H and other nuclei) as well as for searching spectra, structures and other properties. The nmrshiftdb2 software is open source, the data is published under an open content license. The core of nmrshitdb2 are fully assigned spectra with raw data and peak lists (we have pure peak lists as well). Those datasets are peer reviewed by a board...

A GUI application which estimates toxic hazard of chemical compounds. The latest version includes the following toxicity prediction modules: -Cramer rules (oral toxicity) -Toxicity mode of action via Verhaar scheme -Skin irritation and Eye irritation prediction -Benigni / Bossa rulebase for mutagenicity and carcinogenicity prediction -START biodegradation and persistence prediction -Skin sensitisation reactivity domain -Kroes TTC Decision tree -SMARTCyp - Cytochrome P450-Mediated Drug...

Towhee is a Monte Carlo molecular simulation code originally designed for the prediction of fluid phase equilibria using atom-based force fields and the Gibbs ensemble with particular attention paid to algorithms addressing molecule conformation sampling.

VMS Draw provides general utilities (e.g. normalization, conversion, and other manipulations of several spectra at the same time) and a flexible graphical user interface (GUI) for an easy use by non-specialists which allows a seamless flow of information between experimentally and theoretically oriented researchers. Finally, it permits effective interactions with other electronic structure codes [e.g., nuclear magnetic resonance (NMR), microwave] even if Gaussian 16 offers the widest set...

The intend is to solve the forward-reaction prediction problem, where the reactants are known and the interest is in generating the reaction products using Deep learning. This Graphical User Interface takes simplified molecular-input line-entry system (SMILES) as an input and generates the product SMILE & molecule. Beam search is used in Version 2, to generate top 5 predictions. Maximum input length for the model is 15 (excluding spaces).

Computationally predicts the pharmacokinetic properties of drug candidates using Quantitative Structure Property Relationships (QSPR) modelling. Assembles a set of tools and databases for predicting the physical properties of small molecules. The program models a given property's dependence on a collection of molecular and structural descriptors using a training set of molecules. Neural networks and support vector regression are available, as well as linear models. The models generated by...

SME LibreAquarium is an Aquarium management system with a Simulation Model Engine (SME) that makes a prediction of the possible measurement values for the different pollutants that affect to these aquatics systems (NO3,PO4, Fe). The simulator consults the recorded analysis to calculate a prediction of the NO3, PO4, Fe, that the these aquatic system produce. It also uses a central (fish, plant and invertebrates) database to check if the actual parameters are Ok, depending on the species...

NLOPredict is a nonlinear optical prediction and data analysis tool. Nonlinear optical measurements can yield information about the structure of crystals, and orientation of molecules at surfaces and interfaces.

Shape is a molecular conformation prediction program. It uses a genetic algorithm to efficiently search the conformational space of a biomolecule and then clusters the results. It is very simple to use.

Tools to build molecular-docking activity prediction models by PLS regression with iterative training and pose-selection. Descriptors include (i) docking score(s), (ii) pharmacophore features, (iii) multi-feature descriptors learned by decision trees.

MeltDNA Tool For Prediction of DNA Duplex Hybridization & Melting Thermodynamics (delta G°, delta H° and delta S° ,Tm,Ta Prediction)

lazar (Lazy Structure-Activity Relationships) is a tool for the prediction of toxic activities of chemical structures.