Literature DB >> 11469867

Excluded volume in protein side-chain packing.

E Kussell1, J Shimada, E I Shakhnovich.   

Abstract

The excluded volume occupied by protein side-chains and the requirement of high packing density in the protein interior should severely limit the number of side-chain conformations compatible with a given native backbone. To examine the relationship between side-chain geometry and side-chain packing, we use an all-atom Monte Carlo simulation to sample the large space of side-chain conformations. We study three models of excluded volume and use umbrella sampling to effectively explore the entire space. We find that while excluded volume constraints reduce the size of conformational space by many orders of magnitude, the number of allowed conformations is still large. An average repacked conformation has 20 % of its chi angles in a non-native state, a marked reduction from the expected 67 % in the absence of excluded volume. Interestingly, well-packed conformations with up to 50 % non-native chi angles exist. The repacked conformations have native packing density as measured by a standard Voronoi procedure. Entropy is distributed non-uniformly over positions, and we partially explain the observed distribution using rotamer probabilities derived from the Protein Data Bank database. In several cases, native rotamers that occur infrequently in the database are seen with high probability in our simulation, indicating that sequence-specific excluded volume interactions can stabilize rotamers that are rare for a given backbone. In spite of our finding that 65 % of the native rotamers and 85 % of chi(1) angles can be predicted correctly on the basis of excluded volume only, 95 % of positions can accommodate more than one rotamer in simulation. We estimate that, in order to quench the side-chain entropy observed in the presence of excluded volume interactions, other interactions (hydrophobic, polar, electrostatic) must provide an additional stabilization of at least 0.6 kT per residue in order to single out the native state. Copyright 2001 Academic Press.

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Year:  2001        PMID: 11469867     DOI: 10.1006/jmbi.2001.4846

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


  9 in total

1.  A structure-based method for derivation of all-atom potentials for protein folding.

Authors:  Edo Kussell; Jun Shimada; Eugene I Shakhnovich
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-09       Impact factor: 11.205

Review 2.  Hierarchical docking of databases of multiple ligand conformations.

Authors:  David M Lorber; Brian K Shoichet
Journal:  Curr Top Med Chem       Date:  2005       Impact factor: 3.295

Review 3.  Protein folding thermodynamics and dynamics: where physics, chemistry, and biology meet.

Authors:  Eugene Shakhnovich
Journal:  Chem Rev       Date:  2006-05       Impact factor: 60.622

4.  Genetic algorithms as a tool for helix design--computational and experimental studies on prion protein helix 1.

Authors:  Jan Ziegler; Stephan Schwarzinger
Journal:  J Comput Aided Mol Des       Date:  2006-03-16       Impact factor: 3.686

5.  Fine grained sampling of residue characteristics using molecular dynamics simulation.

Authors:  Hyun Joo; Xiaotao Qu; Rosemarie Swanson; C Michael McCallum; Jerry Tsai
Journal:  Comput Biol Chem       Date:  2010-06-19       Impact factor: 2.877

6.  Flat-Bottom Strategy for Improved Accuracy in Protein Side-Chain Placements.

Authors:  Victor Wai Tak Kam; William A Goddard
Journal:  J Chem Theory Comput       Date:  2008-12-09       Impact factor: 6.006

7.  Long-range intra-protein communication can be transmitted by correlated side-chain fluctuations alone.

Authors:  Kateri H Dubay; Jacques P Bothma; Phillip L Geissler
Journal:  PLoS Comput Biol       Date:  2011-09-29       Impact factor: 4.475

8.  On side-chain conformational entropy of proteins.

Authors:  Jinfeng Zhang; Jun S Liu
Journal:  PLoS Comput Biol       Date:  2006-12-08       Impact factor: 4.475

9.  Effects of Non-Natural Amino Acid Incorporation into the Enzyme Core Region on Enzyme Structure and Function.

Authors:  H Edward Wong; Inchan Kwon
Journal:  Int J Mol Sci       Date:  2015-09-21       Impact factor: 5.923

  9 in total

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