Literature DB >> 20017216

DynaDock: A new molecular dynamics-based algorithm for protein-peptide docking including receptor flexibility.

Iris Antes1.   

Abstract

Molecular docking programs play an important role in drug development and many well-established methods exist. However, there are two situations for which the performance of most approaches is still not satisfactory, namely inclusion of receptor flexibility and docking of large, flexible ligands like peptides. In this publication a new approach is presented for docking peptides into flexible receptors. For this purpose a two step procedure was developed: first, the protein-peptide conformational space is scanned and approximate ligand poses are identified and second, the identified ligand poses are refined by a new molecular dynamics-based method, optimized potential molecular dynamics (OPMD). The OPMD approach uses soft-core potentials for the protein-peptide interactions and applies a new optimization scheme to the soft-core potential. Comparison with refinement results obtained by conventional molecular dynamics and a soft-core scaling approach shows significant improvements in the sampling capability for the OPMD method. Thus, the number of starting poses needed for successful refinement is much lower than for the other methods. The algorithm was evaluated on 15 protein-peptide complexes with 2-16mer peptides. Docking poses with peptide RMSD values <2.10 A from the equilibrated experimental structures were obtained in all cases. For four systems docking into the unbound receptor structures was performed, leading to peptide RMSD values <2.12 A. Using a specifically fitted scoring function in 11 of 15 cases the best scoring poses featured a peptide RMSD < or = 2.10 A.

Mesh:

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Year:  2010        PMID: 20017216     DOI: 10.1002/prot.22629

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


  41 in total

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Journal:  J Mol Model       Date:  2017-01-07       Impact factor: 1.810

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Authors:  D Sam Paul; N Gautham
Journal:  J Mol Model       Date:  2016-09-16       Impact factor: 1.810

6.  Peptide Gaussian accelerated molecular dynamics (Pep-GaMD): Enhanced sampling and free energy and kinetics calculations of peptide binding.

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Journal:  J Chem Phys       Date:  2020-10-21       Impact factor: 3.488

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8.  Fully Blind Docking at the Atomic Level for Protein-Peptide Complex Structure Prediction.

Authors:  Chengfei Yan; Xianjin Xu; Xiaoqin Zou
Journal:  Structure       Date:  2016-09-15       Impact factor: 5.006

9.  Structural and dynamic determinants of protein-peptide recognition.

Authors:  Onur Dagliyan; Elizabeth A Proctor; Kevin M D'Auria; Feng Ding; Nikolay V Dokholyan
Journal:  Structure       Date:  2011-12-07       Impact factor: 5.006

10.  PEP-SiteFinder: a tool for the blind identification of peptide binding sites on protein surfaces.

Authors:  Adrien Saladin; Julien Rey; Pierre Thévenet; Martin Zacharias; Gautier Moroy; Pierre Tufféry
Journal:  Nucleic Acids Res       Date:  2014-05-06       Impact factor: 16.971

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