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Proprietary, free academic use, source code Beckman Institute: NWChem: No No Yes Yes No No Yes No No High-performance computational chemistry software, includes quantum mechanics, molecular dynamics and combined QM-MM methods Free open source, Educational Community License version 2.0 NWChem: Protein Local Optimization Program: No Yes Yes Yes ...
Perform atomistic simulations of solid state, liquid, molecular and biological systems, written in Fortran 2003. Linux, macOS, Windows: GPL and LGPL: Free open source GNU GPLv2 or later EMBOSS: Suite of packages for sequencing, searching, etc. written in C: Linux, macOS, Unix, Windows [4] GPL and LGPL: Collaborative project Galaxy
Three dimensional molecular model of an all-carbon tubular fullerene. This is a list of notable computer programs that are used to model nanostructures at the levels of classical mechanics [1] and quantum mechanics. Furiousatoms [2] - a powerful software for molecular modelling and visualization; Aionics.io [3] - a powerful platform for ...
The Molecular Modeling Toolkit is a library that implements common molecular simulation techniques, with an emphasis on biomolecular simulations. It uses modern software engineering techniques (object-oriented design, a high-level language) in order to overcome limitations associated with the large monolithic simulation programs that are ...
Coot is free software, distributed under the GNU GPL. It is available from the Coot web site [4] originally at the University of York, and now at the MRC Laboratory of Molecular Biology. Pre-compiled binaries are also available for Linux and Windows from the web page and CCP4, and for Mac OS X through Fink and CCP4. Additional support is ...
Constituent amino-acids can be analyzed to predict secondary, tertiary and quaternary protein structure. This list of protein structure prediction software summarizes notable used software tools in protein structure prediction, including homology modeling, protein threading, ab initio methods, secondary structure prediction, and transmembrane helix and signal peptide prediction.
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