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SwissParam: A fast force field generation tool for small organic molecules

Authors

  • Vincent Zoete,

    Corresponding author
    1. Swiss Institute of Bioinformatics, Molecular Modelling Group, Quartier Sorge - Bâtiment Génopode, 1015 Lausanne, Switzerland
    • Swiss Institute of Bioinformatics, Molecular Modelling Group, Quartier Sorge - Bâtiment Génopode, 1015 Lausanne, Switzerland
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  • Michel A. Cuendet,

    1. Swiss Institute of Bioinformatics, Molecular Modelling Group, Quartier Sorge - Bâtiment Génopode, 1015 Lausanne, Switzerland
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  • Aurélien Grosdidier,

    1. Swiss Institute of Bioinformatics, Molecular Modelling Group, Quartier Sorge - Bâtiment Génopode, 1015 Lausanne, Switzerland
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  • Olivier Michielin

    Corresponding author
    1. Swiss Institute of Bioinformatics, Molecular Modelling Group, Quartier Sorge - Bâtiment Génopode, 1015 Lausanne, Switzerland
    2. Ludwig Institute for Cancer Research, Lausanne Branch, Ch. Des Boveresses 155, 1066 Epalinges, Switzerland
    3. Multidisciplinary Oncology Center (CePO), Rue du Bugnon 46, 1011 Lausanne, Switzerland
    • Swiss Institute of Bioinformatics, Molecular Modelling Group, Quartier Sorge - Bâtiment Génopode, 1015 Lausanne, Switzerland
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Abstract

The drug discovery process has been deeply transformed recently by the use of computational ligand-based or structure-based methods, helping the lead compounds identification and optimization, and finally the delivery of new drug candidates more quickly and at lower cost. Structure-based computational methods for drug discovery mainly involve ligand-protein docking and rapid binding free energy estimation, both of which require force field parameterization for many drug candidates. Here, we present a fast force field generation tool, called SwissParam, able to generate, for arbitrary small organic molecule, topologies, and parameters based on the Merck molecular force field, but in a functional form that is compatible with the CHARMM force field. Output files can be used with CHARMM or GROMACS. The topologies and parameters generated by SwissParam are used by the docking software EADock2 and EADock DSS to describe the small molecules to be docked, whereas the protein is described by the CHARMM force field, and allow them to reach success rates ranging from 56 to 78%. We have also developed a rapid binding free energy estimation approach, using SwissParam for ligands and CHARMM22/27 for proteins, which requires only a short minimization to reproduce the experimental binding free energy of 214 ligand-protein complexes involving 62 different proteins, with a standard error of 2.0 kcal mol−1, and a correlation coefficient of 0.74. Together, these results demonstrate the relevance of using SwissParam topologies and parameters to describe small organic molecules in computer-aided drug design applications, together with a CHARMM22/27 description of the target protein. SwissParam is available free of charge for academic users at www.swissparam.ch. © 2011 Wiley Periodicals, Inc. J Comput Chem, 2011

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