Literature DB >> 17803216

SOFTDOCK application to protein-protein interaction benchmark and CAPRI.

Nan Li1, Zhonghua Sun, Fan Jiang.   

Abstract

UNLABELLED: The success of molecular docking requires cooperation of sampling and scoring of various conformations. The SOFTDOCK package uses a coarse-grained docking method to sample all possible conformations of complexes. SOFTDOCK uses a new Voronoi molecular surface and calculates several grid-based scores. It is shown by the leave-one-out test that three geometry scores and an FTDOCK-like electrostatics score contribute the most to the discrimination of near-native conformations. However, an atom-based solvation score is shown to be ineffective. It is also found that an increased Voronoi surface thickness greatly increases the accuracy of docking results. Finally, the clustering procedure is shown to improve the overall ranking, but leads to less accurate docking results. The application of SOFTDOCK in Critical Assessment of PRedicted Interactions involves four steps: (i) sampling with INTELEF; (ii) clustering; (iii) AMBER energy minimization; and (iv) manual inspection. Biological information from literature is used as filters in some of the sampling and manual inspection according to different targets. Two of our submissions have L_rmsd around 10 A. Although they are not classified as acceptable solutions, they are considered successful because they are comparable to the accuracy of our method. AVAILABILITY: SOFTDOCK is open source code and can be downloaded at http://bio.iphy.ac.cn (c) 2007 Wiley-Liss, Inc.

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Year:  2007        PMID: 17803216     DOI: 10.1002/prot.21728

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  6 in total

1.  dockYard--a repository to assist modeling of protein-protein docking.

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Journal:  J Mol Model       Date:  2010-06-04       Impact factor: 1.810

Review 2.  Software for molecular docking: a review.

Authors:  Nataraj S Pagadala; Khajamohiddin Syed; Jack Tuszynski
Journal:  Biophys Rev       Date:  2017-01-16

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Journal:  J Chem Inf Model       Date:  2018-01-31       Impact factor: 4.956

4.  SwarmDock and the use of normal modes in protein-protein docking.

Authors:  Iain H Moal; Paul A Bates
Journal:  Int J Mol Sci       Date:  2010-09-28       Impact factor: 5.923

5.  Prediction of protein-protein binding site by using core interface residue and support vector machine.

Authors:  Nan Li; Zhonghua Sun; Fan Jiang
Journal:  BMC Bioinformatics       Date:  2008-12-22       Impact factor: 3.169

6.  In-Silico Evidence for a Two Receptor Based Strategy of SARS-CoV-2.

Authors:  Edoardo Milanetti; Mattia Miotto; Lorenzo Di Rienzo; Madhu Nagaraj; Michele Monti; Thaddeus W Golbek; Giorgio Gosti; Steven J Roeters; Tobias Weidner; Daniel E Otzen; Giancarlo Ruocco
Journal:  Front Mol Biosci       Date:  2021-06-09
  6 in total

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