Showing 7 open source projects for "c source code"

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  • 1
    Charmol

    Charmol

    Program for molecular graphics

    Charmol is a cross-platform GUI/command-line based program for making high-quality pictures of molecular structures, nowadays working on Linux, MacOS and Windows. As output, it produces POV-Ray rendered images or files in VRML format. Charmol is capable of making pictures containing: - from small- to large-size molecules - more molecules together (different settings possible) - orbitals using molden and fchk files (GTO functions up to 'h' angular momentum supported) -...
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  • 2
    LP CSIC/UAB Apps and Code

    LP CSIC/UAB Apps and Code

    Software and Code from Laboratori de Proteòmica CSIC/UAB

    Software, Code and Documents from Laboratori de Proteòmica CSIC/UAB ( LP-CSIC/UAB: http://proteomica.uab.cat )
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  • 3
    Tahoe is a research-oriented platform for the development of numerical methods and models for the simulation of complex material behavior.
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  • 4

    PolySim

    Polymer simulation utilites

    Polymer simulation utilites for bead coarse-grained models of polymers. Includes 1) lattice monte carlo. Many kinds of lattices are supported. It shouldn't be a problem to implement any new specific one (discrete models) 2) off-lattice monte carlo and molecular dynamics (continuous models) Latter one is rebuild of earlier version of simpatico (http://gemini.cems.umn.edu/research/morse/code/simpatico/home.php) project. Input and output are based on PDB file format which is better to...
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  • 5
    SIPeS - Site Identification from Paired-end Sequencing
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  • 6
    A Folding@Home integrated monitoring environment, designed for Linux, *nix systems and Windows, which is intended to be easy-to-use and provide a flexible, customiseable and "user-friendly" environment for reviewing the status of active F@H clients.
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  • 7
    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.
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