Literature DB >> 16405908

Conformational diversity of ligands bound to proteins.

Gareth R Stockwell1, Janet M Thornton.   

Abstract

The phenomenon of molecular recognition, which underpins almost all biological processes, is dynamic, complex and subtle. Establishing an interaction between a pair of molecules involves mutual structural rearrangements guided by a highly convoluted energy landscape, the accurate mapping of which continues to elude us. Increased understanding of the degree to which the conformational space of a ligand is restricted upon binding may have important implications for docking studies, structure refinement and for function prediction methods based on geometrical comparisons of ligands or their binding sites. Here, we present an analysis of the conformational variability exhibited by three of the most ubiquitous biological ligands in nature, ATP, NAD and FAD. First, we demonstrate qualitatively that these ligands bind to proteins in widely varying conformations, including several cases in which parts of the molecule assume energetically unfavourable orientations. Next, by comparing the distribution of bound ligand shapes with the set of all possible molecular conformations, we provide a quantitative assessment of previous observations that ligands tend to unfold when binding to proteins. We show that, while extended forms of ligands are indeed common in ligand-protein structures, instances of ligands in almost maximally compact arrangements can also be found. Thirdly, we compare the conformational variation in two sets of ligand molecules, those bound to homologous proteins, and those bound to unrelated proteins. Although most superfamilies bind ligands in a fairly conserved manner, we find several cases in which significant variation in ligand configuration is observed.

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Year:  2005        PMID: 16405908     DOI: 10.1016/j.jmb.2005.12.012

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  27 in total

1.  Self-complementarity within proteins: bridging the gap between binding and folding.

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Journal:  Biophys J       Date:  2012-06-05       Impact factor: 4.033

Review 2.  Protein promiscuity and its implications for biotechnology.

Authors:  Irene Nobeli; Angelo D Favia; Janet M Thornton
Journal:  Nat Biotechnol       Date:  2009-02       Impact factor: 54.908

3.  Coarse-grained description of protein internal dynamics: an optimal strategy for decomposing proteins in rigid subunits.

Authors:  R Potestio; F Pontiggia; C Micheletti
Journal:  Biophys J       Date:  2009-06-17       Impact factor: 4.033

4.  Correspondences between low-energy modes in enzymes: dynamics-based alignment of enzymatic functional families.

Authors:  Andrea Zen; Vincenzo Carnevale; Arthur M Lesk; Cristian Micheletti
Journal:  Protein Sci       Date:  2008-03-27       Impact factor: 6.725

Review 5.  Structure-function-folding relationships and native energy landscape of dynein light chain protein: nuclear magnetic resonance insights.

Authors:  P M Krishna Mohan; Ramakrishna V Hosur
Journal:  J Biosci       Date:  2009-09       Impact factor: 1.826

6.  Protein pockets: inventory, shape, and comparison.

Authors:  Ryan G Coleman; Kim A Sharp
Journal:  J Chem Inf Model       Date:  2010-04-26       Impact factor: 4.956

7.  A global optimization algorithm for protein surface alignment.

Authors:  Paola Bertolazzi; Concettina Guerra; Giampaolo Liuzzi
Journal:  BMC Bioinformatics       Date:  2010-09-29       Impact factor: 3.169

8.  The Mycobacterium tuberculosis drugome and its polypharmacological implications.

Authors:  Sarah L Kinnings; Li Xie; Kingston H Fung; Richard M Jackson; Lei Xie; Philip E Bourne
Journal:  PLoS Comput Biol       Date:  2010-11-04       Impact factor: 4.475

9.  Assisted assignment of ligands corresponding to unknown electron density.

Authors:  T Andrew Binkowski; Marianne Cuff; Boguslaw Nocek; Changsoo Chang; Andrzej Joachimiak
Journal:  J Struct Funct Genomics       Date:  2010-01-21

10.  Potential modes of interaction of 9-aminomethyl-9,10-dihydroanthracene (AMDA) derivatives with the 5-HT2A receptor: a ligand structure-affinity relationship, receptor mutagenesis and receptor modeling investigation.

Authors:  Scott P Runyon; Philip D Mosier; Bryan L Roth; Richard A Glennon; Richard B Westkaemper
Journal:  J Med Chem       Date:  2008-10-11       Impact factor: 7.446

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