Literature DB >> 17680687

What is the relationship between the global structures of apo and holo proteins?

Michal Brylinski1, Jeffrey Skolnick.   

Abstract

It is well known that ligand binding and release may induce a wide range of structural changes in a receptor protein, varying from small movements of loops or side chains in the binding pocket to large-scale domain hinge-bending and shear motions or even partial unfolding that facilitates the capture and release of a ligand. An interesting question is what in general are the conformational changes triggered by ligand binding? The aim of this work is analyze the magnitude of structural changes in a protein resulting from ligand binding to assess if the state of ligand binding needs to be included in template-based protein structure prediction algorithms. To address this issue, a nonredundant dataset of 521 paired protein structures in the ligand-free and ligand-bound form was created and used to estimate the degree of both local and global structure similarity between the apo and holo forms. In most cases, the proteins undergo relatively small conformational rearrangements of their tertiary structure upon ligand binding/release (most root-mean-square-deviations from native, RMSD, are <1 A). However, a clear difference was observed between single- and multiple-domain proteins. For the latter, RMSD changes greater than 1 A and sometimes larger were found for almost 1/3 of the cases; these are mainly associated with large-scale hinge-bending movements of entire domains. The changes in the mutual orientation of individual domains in multiple-domain proteins upon ligand binding were investigated using a mechanistic model based on mass-weighted principal axes as well as interface buried surface calculations. Some preferences toward the anticipated mechanism of protein domain movements are predictable based on the examination of just the ligand-free structural form. These results have applications to protein structure prediction, particularly in the context of protein domain assembly, if additional information concerning ligand binding is exploited. (c) 2007 Wiley-Liss, Inc.

Mesh:

Substances:

Year:  2008        PMID: 17680687     DOI: 10.1002/prot.21510

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


  27 in total

1.  Real-time ligand binding pocket database search using local surface descriptors.

Authors:  Rayan Chikhi; Lee Sael; Daisuke Kihara
Journal:  Proteins       Date:  2010-07

2.  Detecting local ligand-binding site similarity in nonhomologous proteins by surface patch comparison.

Authors:  Lee Sael; Daisuke Kihara
Journal:  Proteins       Date:  2012-01-24

3.  eFindSite: improved prediction of ligand binding sites in protein models using meta-threading, machine learning and auxiliary ligands.

Authors:  Michal Brylinski; Wei P Feinstein
Journal:  J Comput Aided Mol Des       Date:  2013-07-10       Impact factor: 3.686

4.  Prediction and experimental validation of enzyme substrate specificity in protein structures.

Authors:  Shivas R Amin; Serkan Erdin; R Matthew Ward; Rhonald C Lua; Olivier Lichtarge
Journal:  Proc Natl Acad Sci U S A       Date:  2013-10-21       Impact factor: 11.205

5.  Coevolutionary signals across protein lineages help capture multiple protein conformations.

Authors:  Faruck Morcos; Biman Jana; Terence Hwa; José N Onuchic
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-02       Impact factor: 11.205

6.  Apo and ligand-bound structures of ModA from the archaeon Methanosarcina acetivorans.

Authors:  Sum Chan; Iulia Giuroiu; Irina Chernishof; Michael R Sawaya; Janet Chiang; Robert P Gunsalus; Mark A Arbing; L Jeanne Perry
Journal:  Acta Crystallogr Sect F Struct Biol Cryst Commun       Date:  2010-02-23

Review 7.  Conformational heterogeneity within the LID domain mediates substrate binding to Escherichia coli adenylate kinase: function follows fluctuations.

Authors:  Travis P Schrank; James O Wrabl; Vincent J Hilser
Journal:  Top Curr Chem       Date:  2013

8.  Lessons learned in induced fit docking and metadynamics in the Drug Design Data Resource Grand Challenge 2.

Authors:  Matthew P Baumgartner; David A Evans
Journal:  J Comput Aided Mol Des       Date:  2017-11-10       Impact factor: 3.686

9.  fpocket: online tools for protein ensemble pocket detection and tracking.

Authors:  Peter Schmidtke; Vincent Le Guilloux; Julien Maupetit; Pierre Tufféry
Journal:  Nucleic Acids Res       Date:  2010-05-16       Impact factor: 16.971

10.  Conformational transitions upon ligand binding: holo-structure prediction from apo conformations.

Authors:  Daniel Seeliger; Bert L de Groot
Journal:  PLoS Comput Biol       Date:  2010-01-08       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.