Literature DB >> 29218430

CPdock: the complementarity plot for docking of proteins: implementing multi-dielectric continuum electrostatics.

Sankar Basu1.   

Abstract

The complementarity plot (CP) is an established validation tool for protein structures, applicable to both globular proteins (folding) as well as protein-protein complexes (binding). It computes the shape and electrostatic complementarities (Sm, Em) for amino acid side-chains buried within the protein interior or interface and plots them in a two-dimensional plot having knowledge-based probabilistic quality estimates for the residues as well as for the whole structure. The current report essentially presents an upgraded version of the plot with the implementation of the advanced multi-dielectric functionality (as in Delphi version 6.2 or higher) in the computation of electrostatic complementarity to make the validation tool physico-chemically more realistic. The two methods (single- and multi-dielectric) agree decently in their resultant Em values, and hence, provisions for both methods have been kept in the software suite. So to speak, the global electrostatic balance within a well-folded protein and/or a well-packed interface seems only marginally perturbed by the choice of different internal dielectric values. However, both from theoretical as well as practical grounds, the more advanced multi-dielectric version of the plot is certainly recommended for potentially producing more reliable results. The report also presents a new methodology and a variant plot, namely CPdock, based on the same principles of complementarity specifically designed to be used in the docking of proteins. The efficacy of the method to discriminate between good and bad docked protein complexes has been tested on a recent state-of-the-art docking benchmark. The results unambiguously indicate that CPdock can indeed be effective in the initial screening phase of a docking scoring pipeline before going into more sophisticated and computationally expensive scoring functions. CPdock has been made available at https://github.com/nemo8130/CPdock . Graphical Abstract An example showing the efficacy of CPdock to be used in the initial screening phase of a protein-protein docking scoring pipeline.

Entities:  

Keywords:  CPdock; Complementarity plot; Multi-dielectric electrostatic complementarity; Screening of docked protein models

Mesh:

Substances:

Year:  2017        PMID: 29218430     DOI: 10.1007/s00894-017-3546-y

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  18 in total

1.  The jigsaw puzzle model: search for conformational specificity in protein interiors.

Authors:  Rahul Banerjee; Malabika Sen; Dhananjay Bhattacharya; Partha Saha
Journal:  J Mol Biol       Date:  2003-10-10       Impact factor: 5.469

Review 2.  The barrier for proton transport in aquaporins as a challenge for electrostatic models: the role of protein relaxation in mutational calculations.

Authors:  Mitsunori Kato; Andrei V Pisliakov; Arieh Warshel
Journal:  Proteins       Date:  2006-09-01

3.  Electrostatic complementarity at protein/protein interfaces.

Authors:  A J McCoy; V Chandana Epa; P M Colman
Journal:  J Mol Biol       Date:  1997-05-02       Impact factor: 5.469

4.  SwarmDock: a server for flexible protein-protein docking.

Authors:  Mieczyslaw Torchala; Iain H Moal; Raphael A G Chaleil; Juan Fernandez-Recio; Paul A Bates
Journal:  Bioinformatics       Date:  2013-01-23       Impact factor: 6.937

5.  Charges in the hydrophobic interior of proteins.

Authors:  Daniel G Isom; Carlos A Castañeda; Brian R Cannon; Priya D Velu; Bertrand García-Moreno E
Journal:  Proc Natl Acad Sci U S A       Date:  2010-08-26       Impact factor: 11.205

6.  Mapping the distribution of packing topologies within protein interiors shows predominant preference for specific packing motifs.

Authors:  Sankar Basu; Dhananjay Bhattacharyya; Rahul Banerjee
Journal:  BMC Bioinformatics       Date:  2011-05-24       Impact factor: 3.169

7.  The scoring of poses in protein-protein docking: current capabilities and future directions.

Authors:  Iain H Moal; Mieczyslaw Torchala; Paul A Bates; Juan Fernández-Recio
Journal:  BMC Bioinformatics       Date:  2013-10-01       Impact factor: 3.169

8.  MolProbity: all-atom structure validation for macromolecular crystallography.

Authors:  Vincent B Chen; W Bryan Arendall; Jeffrey J Headd; Daniel A Keedy; Robert M Immormino; Gary J Kapral; Laura W Murray; Jane S Richardson; David C Richardson
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2009-12-21

9.  DelPhi: a comprehensive suite for DelPhi software and associated resources.

Authors:  Lin Li; Chuan Li; Subhra Sarkar; Jie Zhang; Shawn Witham; Zhe Zhang; Lin Wang; Nicholas Smith; Marharyta Petukh; Emil Alexov
Journal:  BMC Biophys       Date:  2012-05-14       Impact factor: 4.778

10.  The Unfolding MD Simulations of Cyclophilin: Analyzed by Surface Contact Networks and Their Associated Metrics.

Authors:  Sourav Roy; Sankar Basu; Dipak Dasgupta; Dhananjay Bhattacharyya; Rahul Banerjee
Journal:  PLoS One       Date:  2015-11-06       Impact factor: 3.240

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  2 in total

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Authors:  Sankar Basu; Devlina Chakravarty; Dhananjay Bhattacharyya; Pampa Saha; Hirak K Patra
Journal:  J Mol Model       Date:  2021-05-31       Impact factor: 1.810

2.  Capturing a Crucial 'Disorder-to-Order Transition' at the Heart of the Coronavirus Molecular Pathology-Triggered by Highly Persistent, Interchangeable Salt-Bridges.

Authors:  Sourav Roy; Prithwi Ghosh; Abhirup Bandyopadhyay; Sankar Basu
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