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


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 ?(1) of Val and Thr in proteins of known structure show distinctive features: Val side chains predominantly adopt ?(1) = 180°, whereas Thr side chains typically adopt ?(1) = 60° and 300° (i.e., ?(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.

SUBMITTER: Zhou AQ 

PROVIDER: S-EPMC3353012 | biostudies-literature | 2012 May

REPOSITORIES: biostudies-literature

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

Zhou Alice Qinhua AQ   O'Hern Corey S CS   Regan Lynne L  

Biophysical journal 20120515 10


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°, w  ...[more]

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