Search Results for "python structural engineering"

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.

Do you work with chemical reactors? Are you curious about them? ASALI is the open-source code that you are looking for. Chemical reactor models, transport/thermodynamic properties of gases, equilibrium calculations. ASALI couples all these features with an user friendly graphical interface. Modeling chemical reactors has never been so easy.

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...

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...

Jamberoo (former JMolEditor) is a library of algorithms for structural Computational Chemistry implemented in the Java programming language. The Jamberoo classes can be integrated into other Java applications.

A collection of cheminformatics and machine-learning software written in C++ and Python. NOTE: the RDKit source code and downloads are now in github: https://github.com/rdkit/rdkit The core algorithms and data structures are written in C++. Wrappers are provided to use the toolkit from either Python or Java. Additionally, the RDKit distribution includes a PostgreSQL-based cartridge that allows molecules to be stored in relational database and retrieved via substructure and...

Notice: RMG-Java is no longer in active development. Please find the latest version written in Python at http://reactionmechanismgenerator.github.io To see the website o the old Java version of RMG, visit http://rmg.sourceforge.net RMG (Java version) is an automatic chemical reaction mechanism generator that constructs kinetic models composed of elementary chemical reaction steps using a general understanding of how molecules react (currently limited to C, H, O, and S atoms).

Cca-forum unifies the Common Component Architecture tools and tutorial. It includes the CCA specifications, the Ccaffeine framework for HPC, and related tools. These support multilanguage scientific and parallel computing.

Graphical editor using HTML5 canvas for input of chemical structures, molecule interactions, as well as protein sequence and 3D structural motifs. Facilitates searches in chemo-informatics, bioinformatics and structural biology .

Goldify is a set of tools that allow automated addition of links into electronic documents. Its main purpose is to allow such addition of links into documents that wish to link to the IUPAC GoldBook (http://goldbook.iupac.org).

Modama is a new software project for processing and analysing 2d detector data (images) provided by any available detectors, mainly SAX and WAX.

The RNA Ontology Consortium proposed a translation the RNA backbone angles to 46 clusters ('suites') and hence unique names. This project calculates the suites from RNA 3D structures, and to search on a Java-based index structure of known folds.

this is a small project which provides several mathematical function useful for a chemist or somebody working with mass specs. The goal is to provide several cuda and c based functions which can be easily accessed using java, groovy and python.