Literature DB >> 24479827

Flexibility and explicit solvent in molecular-dynamics-based docking of protein-glycosaminoglycan systems.

Sergey A Samsonov1, Jan-Philip Gehrcke, M Teresa Pisabarro.   

Abstract

We present Dynamic Molecular Docking (DMD), a novel targeted molecular dynamics-based protocol developed to address ligand and receptor flexibility as well as the inclusion of explicit solvent in local molecular docking. A class of ligands for which docking performance especially benefits from overcoming these challenges is the glycosaminoglycans (GAGs). GAGs are periodic, highly flexible, and negatively charged polysaccharides playing an important role in the extracellular matrix via interaction with proteins such as growth factors and chemokines. The goal of our work has been to develop a proof of concept for an MD-based docking approach and to analyze its applicability for protein-GAG systems. DMD exploits the electrostatics-driven attraction of a ligand to its receptor, treats both as entirely flexible, and considers solvent explicitly. We show that DMD has high predictive significance for systems dominated by electrostatic attraction and demonstrate its capability to reliably identify the receptor residues contributing most to binding.

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Year:  2014        PMID: 24479827     DOI: 10.1021/ci4006047

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  21 in total

1.  The Interaction of Heparin Tetrasaccharides with Chemokine CCL5 Is Modulated by Sulfation Pattern and pH.

Authors:  Arunima Singh; Warren C Kett; India C Severin; Isaac Agyekum; Jiana Duan; I Jonathan Amster; Amanda E I Proudfoot; Deirdre R Coombe; Robert J Woods
Journal:  J Biol Chem       Date:  2015-04-23       Impact factor: 5.157

Review 2.  Glycosaminoglycanomics: where we are.

Authors:  Sylvie Ricard-Blum; Frédérique Lisacek
Journal:  Glycoconj J       Date:  2016-11-30       Impact factor: 2.916

Review 3.  So you think computational approaches to understanding glycosaminoglycan-protein interactions are too dry and too rigid? Think again!

Authors:  Nehru Viji Sankaranarayanan; Balaji Nagarajan; Umesh R Desai
Journal:  Curr Opin Struct Biol       Date:  2018-01-09       Impact factor: 6.809

4.  Perspective on computational simulations of glycosaminoglycans.

Authors:  Balaji Nagarajan; Nehru Viji Sankaranarayanan; Umesh R Desai
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2018-09-10

Review 5.  Molecular dynamics simulations to understand glycosaminoglycan interactions in the free- and protein-bound states.

Authors:  Balaji Nagarajan; Samuel G Holmes; Nehru Viji Sankaranarayanan; Umesh R Desai
Journal:  Curr Opin Struct Biol       Date:  2022-03-17       Impact factor: 7.786

6.  Rigorous analysis of free solution glycosaminoglycan dynamics using simple, new tools.

Authors:  Balaji Nagarajan; Nehru Viji Sankaranarayanan; Umesh R Desai
Journal:  Glycobiology       Date:  2020-07-16       Impact factor: 4.313

7.  A Simple Method for Discovering Druggable, Specific Glycosaminoglycan-Protein Systems. Elucidation of Key Principles from Heparin/Heparan Sulfate-Binding Proteins.

Authors:  Aurijit Sarkar; Umesh R Desai
Journal:  PLoS One       Date:  2015-10-21       Impact factor: 3.240

8.  Solution NMR characterization of chemokine CXCL8/IL-8 monomer and dimer binding to glycosaminoglycans: structural plasticity mediates differential binding interactions.

Authors:  Prem Raj B Joseph; Philip D Mosier; Umesh R Desai; Krishna Rajarathnam
Journal:  Biochem J       Date:  2015-09-14       Impact factor: 3.857

9.  Computational drill down on FGF1-heparin interactions through methodological evaluation.

Authors:  Sándor Babik; Sergey A Samsonov; M Teresa Pisabarro
Journal:  Glycoconj J       Date:  2016-11-17       Impact factor: 2.916

10.  A molecular dynamics-based algorithm for evaluating the glycosaminoglycan mimicking potential of synthetic, homogenous, sulfated small molecules.

Authors:  Balaji Nagarajan; Nehru Viji Sankaranarayanan; Bhaumik B Patel; Umesh R Desai
Journal:  PLoS One       Date:  2017-02-09       Impact factor: 3.240

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