Literature DB >> 27353137

Protein-Ligand Informatics Force Field (PLIff): Toward a Fully Knowledge Driven "Force Field" for Biomolecular Interactions.

Marcel L Verdonk1, R Frederick Ludlow1, Ilenia Giangreco1,2, Prakash Chandra Rathi1.   

Abstract

The Protein Data Bank (PDB) contains a wealth of data on nonbonded biomolecular interactions. If this information could be distilled down to nonbonded interaction potentials, these would have some key advantages over standard force fields. However, there are some important outstanding issues to address in order to do this successfully. This paper introduces the protein-ligand informatics "force field", PLIff, which begins to address these key challenges ( https://bitbucket.org/AstexUK/pli ). As a result of their knowledge-based nature, the next-generation nonbonded potentials that make up PLIff automatically capture a wide range of interaction types, including special interactions that are often poorly described by standard force fields. We illustrate how PLIff may be used in structure-based design applications, including interaction fields, fragment mapping, and protein-ligand docking. PLIff performs at least as well as state-of-the art scoring functions in terms of pose predictions and ranking compounds in a virtual screening context.

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Year:  2016        PMID: 27353137     DOI: 10.1021/acs.jmedchem.6b00716

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  2 in total

1.  ClusPro LigTBM: Automated Template-based Small Molecule Docking.

Authors:  Andrey Alekseenko; Sergei Kotelnikov; Mikhail Ignatov; Megan Egbert; Yaroslav Kholodov; Sandor Vajda; Dima Kozakov
Journal:  J Mol Biol       Date:  2019-12-19       Impact factor: 5.469

Review 2.  Current status and future prospects for enabling chemistry technology in the drug discovery process.

Authors:  Stevan W Djuric; Charles W Hutchins; Nari N Talaty
Journal:  F1000Res       Date:  2016-09-30
  2 in total

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