Literature DB >> 22677388

The power of hard-sphere models: explaining side-chain dihedral angle distributions of Thr and Val.

Alice Qinhua Zhou1, Corey S O'Hern, Lynne Regan.   

Abstract

The energy functions used to predict protein structures typically include both molecular-mechanics and knowledge-based terms. In contrast, our approach is to develop robust physics- and geometry-based methods. Here, we investigate to what extent simple hard-sphere models can be used to predict side-chain conformations. The distributions of the side-chain dihedral angle χ(1) of Val and Thr in proteins of known structure show distinctive features: Val side chains predominantly adopt χ(1) = 180°, whereas Thr side chains typically adopt χ(1) = 60° and 300° (i.e., χ(1) = ±60° or g- and g(+) configurations). Several hypotheses have been proposed to explain these differences, including interresidue steric clashes and hydrogen-bonding interactions. In contrast, we show that the observed side-chain dihedral angle distributions for both Val and Thr can be explained using only local steric interactions in a dipeptide mimetic. Our results emphasize the power of simple physical approaches and their importance for future advances in protein engineering and design.
Copyright © 2012 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22677388      PMCID: PMC3353012          DOI: 10.1016/j.bpj.2012.01.061

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  30 in total

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4.  Preprocessing of rotamers for protein design calculations.

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5.  Analysis of side-chain rotamers in transmembrane proteins.

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Journal:  Biophys J       Date:  2004-08-31       Impact factor: 4.033

6.  Development of a rotamer library for use in beta-peptide foldamer computational design.

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Review 9.  The anatomy and taxonomy of protein structure.

Authors:  J S Richardson
Journal:  Adv Protein Chem       Date:  1981

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Authors:  T M Gray; B W Matthews
Journal:  J Mol Biol       Date:  1984-05-05       Impact factor: 5.469

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  10 in total

1.  Distribution of dipeptides in different protein structural classes: an effort to find new similarities.

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2.  Intrinsic α-helical and β-sheet conformational preferences: a computational case study of alanine.

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4.  Comparing side chain packing in soluble proteins, protein-protein interfaces, and transmembrane proteins.

Authors:  J C Gaines; S Acebes; A Virrueta; M Butler; L Regan; C S O'Hern
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Review 5.  Protein design: Past, present, and future.

Authors:  Lynne Regan; Diego Caballero; Michael R Hinrichsen; Alejandro Virrueta; Danielle M Williams; Corey S O'Hern
Journal:  Biopolymers       Date:  2015-07       Impact factor: 2.505

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7.  New insights into the interdependence between amino acid stereochemistry and protein structure.

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8.  Diversity of Secondary Structure in Catalytic Peptides with β-Turn-Biased Sequences.

Authors:  Anthony J Metrano; Nadia C Abascal; Brandon Q Mercado; Eric K Paulson; Anna E Hurtley; Scott J Miller
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9.  Collective repacking reveals that the structures of protein cores are uniquely specified by steric repulsive interactions.

Authors:  J C Gaines; A Virrueta; D A Buch; S J Fleishman; C S O'Hern; L Regan
Journal:  Protein Eng Des Sel       Date:  2017-05-01       Impact factor: 1.650

10.  In silico insights of L-glutamate: structural features in vacuum and in complex with its receptor.

Authors:  Janneth Gonzalez; George E Barreto
Journal:  J Amino Acids       Date:  2013-11-06
  10 in total

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