Open Source ChromeOS Molecular Mechanics Software

We are proud to introduce version 5 of CAMPARI. We have added a number of new features, most notably a Python interface for interpreting user-supplied code (with the help of ForPy), a novel trajectory storage standard (with the help of libpqxx/PostgreSQL), and a module for performing transition path theory. Naturally, CAMPARI continues to provide the reference implementation of the ABSINTH force field paradigm and implicit solvation model. CAMPARI is a joint package for performing and analyzing molecular simulations, in particular of systems of biological relevance. It focuses on a wide availability of algorithms for (advanced) sampling and is capable of combining Monte Carlo and molecular dynamics in seamless fashion. CAMPARI offers the user a very high level of control over all implemented features. For more information and features, please refer to the project's homepage at http://campari.sourceforge.net/V5

MEMBPLUGIN is a membrane analysis tool for molecular-dynamics simulations. It is a collection of visual and command-line tools that can be run within the Visual Molecular Dynamics (VMD) environment to analyze biomolecular simulations of lipid bilayers.

We here present a novel computer algorithm, called AutoClickChem, capable of performing many click-chemistry reactions in silico. In silico modeling of click-chemistry products may prove useful in rational drug design and drug optimization.

An open-source software to convert SDF files into TINKER XYZ files (and viceversa) with automatic assignment of MMFF94 atom types, bond types and charges

AutoMap takes a series of poses obtained from molecular docking and applies the site, epitope and conformational mapping techniques to the poses to select likely ligand binding modes.

An open-source software aimed at computing cavity accessibility in cyclodextrin derivatives

This is bionically project.

xPyder is a PyMOL plugin to analyze and visualize on the 3D structure dynamical cross-correlation matrices (DCCM), linear mutual information (LMI), communication propensities (CP), intra- and inter-molecular interactions (e.g. PSN), and more, to produce highly customizable publication-quality images. xPyder identifies networks (using concepts from graph theory, such as hubs and shortest path searching), compares matrices and focuses the analysis on relevant information by filtering the data using a modular, user-expandable plugin system that takes advantage of structural and dynamical information, contributing to bridge the gap between dynamical and mechanical properties at the molecular level.