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The GNNPCSAFT app is an implementation of our project that focuses on using Graph Neural Networks (GNN) to estimate the pure-component parameters of the Equation of State PC-SAFT. We developed this app so the scientific community can access the model's results easily. In this app, the estimated pure-component parameters can be used to calculate thermodynamic properties and compare them with experimental data from the ThermoML Archive. To install the GNNPCSAFT app, download the...

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).

[NOTICE!] FingerID since version 1.4 will be hosted on github: https://github.com/icdishb/fingerid A metabolite identification software using tandem mass spectrometry and kernel methods. The related paper can be found at http://bioinformatics.oxfordjournals.org/content/early/2012/07/18/bioinformatics.bts437.abstract. Now it supports unix/linux like system.

Sharing lists of molecular structures with associated chemical properties is a common task in computer-aided drug design and medicinal chemistry. WebChem Viewer is a simple, free, open-source program that generates HTML-formatted output that can be viewed in any modern web browser, on any operating system (including mobile), without requiring the installation of additional software. The output can also be easily incorporated into existing web pages. WebChem Viewer is released under the FreeBSD license. It was created by Jacob Durrant, a post-doc in the lab of Rommie E. Amaro.