Literature DB >> 10861935

Side-chain conformational entropy in protein unfolded states.

T P Creamer1.   

Abstract

The largest force disfavoring the folding of a protein is the loss of conformational entropy. A large contribution to this entropy loss is due to the side-chains, which are restricted, although not immobilized, in the folded protein. In order to accurately estimate the loss of side-chain conformational entropy that occurs upon folding it is necessary to have accurate estimates of the amount of entropy possessed by side-chains in the ensemble of unfolded states. A new scale of side-chain conformational entropies is presented here. This scale was derived from Monte Carlo computer simulations of small peptide models. It is demonstrated that the entropies are independent of host peptide length. This new scale has the advantage over previous scales of being more precise with low standard errors. Better estimates are obtained for long (e.g., Arg and Lys) and rare (e.g., Trp and Met) side-chains. Excellent agreement with previous side-chain entropy scales is achieved, indicating that further advancements in accuracy are likely to be small at best. Strikingly, longer side-chains are found to possess a smaller fraction of the theoretical maximum entropy available than short side-chains. This indicates that rotations about torsions after chi(2) are significantly affected by side-chain interactions with the polypeptide backbone. This finding invalidates previous assumptions about side-chain-backbone interactions. Proteins 2000;40:443-450. Copyright 2000 Wiley-Liss, Inc.

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Year:  2000        PMID: 10861935     DOI: 10.1002/1097-0134(20000815)40:3<443::aid-prot100>3.0.co;2-l

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


  25 in total

1.  Polyproline II helical structure in protein unfolded states: lysine peptides revisited.

Authors:  Adam L Rucker; Trevor P Creamer
Journal:  Protein Sci       Date:  2002-04       Impact factor: 6.725

2.  A measure of conformational entropy change during thermal protein unfolding using neutron spectroscopy.

Authors:  Jörg Fitter
Journal:  Biophys J       Date:  2003-06       Impact factor: 4.033

3.  Side-chain conformational entropy at protein-protein interfaces.

Authors:  Christian Cole; Jim Warwicker
Journal:  Protein Sci       Date:  2002-12       Impact factor: 6.725

4.  Interatomic potentials and solvation parameters from protein engineering data for buried residues.

Authors:  Andrei L Lomize; Mikhail Y Reibarkh; Irina D Pogozheva
Journal:  Protein Sci       Date:  2002-08       Impact factor: 6.725

5.  Characterization of PDZ domain-peptide interactions using an integrated protocol of QM/MM, PB/SA, and CFEA analyses.

Authors:  Feifei Tian; Yonggang Lv; Peng Zhou; Li Yang
Journal:  J Comput Aided Mol Des       Date:  2011-10-01       Impact factor: 3.686

6.  The Protein Acetyltransferase PatZ from Escherichia coli Is Regulated by Autoacetylation-induced Oligomerization.

Authors:  Teresa de Diego Puente; Julia Gallego-Jara; Sara Castaño-Cerezo; Vicente Bernal Sánchez; Vanesa Fernández Espín; José García de la Torre; Arturo Manjón Rubio; Manuel Cánovas Díaz
Journal:  J Biol Chem       Date:  2015-08-06       Impact factor: 5.157

7.  Prediction of side-chain conformations on protein surfaces.

Authors:  Zhexin Xiang; Peter J Steinbach; Matthew P Jacobson; Richard A Friesner; Barry Honig
Journal:  Proteins       Date:  2007-03-01

8.  Side-chain conformational space analysis (SCSA): a multi conformation-based QSAR approach for modeling and prediction of protein-peptide binding affinities.

Authors:  Peng Zhou; Xiang Chen; Zhicai Shang
Journal:  J Comput Aided Mol Des       Date:  2008-10-08       Impact factor: 3.686

9.  Understanding the physical properties that control protein crystallization by analysis of large-scale experimental data.

Authors:  W Nicholson Price; Yang Chen; Samuel K Handelman; Helen Neely; Philip Manor; Richard Karlin; Rajesh Nair; Jinfeng Liu; Michael Baran; John Everett; Saichiu N Tong; Farhad Forouhar; Swarup S Swaminathan; Thomas Acton; Rong Xiao; Joseph R Luft; Angela Lauricella; George T DeTitta; Burkhard Rost; Gaetano T Montelione; John F Hunt
Journal:  Nat Biotechnol       Date:  2009-01       Impact factor: 54.908

Review 10.  Energy functions in de novo protein design: current challenges and future prospects.

Authors:  Zhixiu Li; Yuedong Yang; Jian Zhan; Liang Dai; Yaoqi Zhou
Journal:  Annu Rev Biophys       Date:  2013-02-28       Impact factor: 12.981

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