Literature DB >> 11580256

The energetics of off-rotamer protein side-chain conformations.

R J Petrella1, M Karplus.   

Abstract

Non-rotameric ("off-rotamer") conformations are commonly observed for the side-chains of protein crystal structures. This study examines whether such conformations are real or artifactual by comparing the energetics of on and off-rotamer side-chain conformations calculated with the CHARMM energy function. Energy-based predictions of side-chain orientation are carried out by rigid-geometry mapping in the presence of the fixed protein environment for 1709 non-polar side-chains in 24 proteins for which high-resolution (2.0 A or better) structures are available. For on-rotamer conformations, 97.6 % are correctly predicted; i.e. they correspond to the absolute minima of their local side-chain energy maps (generally to within 10 degrees or less). By contrast, for the observed off-rotamer side-chain conformations, 63.8 % are predicted correctly. This difference is statistically significant (P<0.001) and suggests that while most of the observed off-rotamer conformations are real, many of the erroneously predicted ones are likely to be artifacts of the X-ray refinements. Probabilities for off-rotamer conformations of the non-polar side-chains are calculated to be 5.0-6.1 % by adaptive umbrella-sampled molecular dynamics trajectories of individual amino acid residues in vacuum and in the presence of an average protein or aqueous dielectric environment. These results correspond closely to the 5.7 % off-rotamer fraction predicted by the rigid-geometry mapping studies. Since these values are about one-half of the 10.2 % off-rotamer fraction observed in the X-ray structures, they support the conclusion that many of the latter are artifacts. In both the rigid-geometry mapping and the molecular dynamics studies, the discrepancies between the predicted and observed fractions of off-rotamer conformations are largest for leucine residues (approximately 6 % versus 16.6 %). The simulations for the isolated amino acid residues indicate that the real off-rotamer frequency of 5-6 % is consistent with the internal side-chain and local side-chain-backbone energetics and does not originate from shifts due to the protein. The present results suggest that energy-based rotation maps can be used to find side-chain positional artifacts that appear in crystal structures based on refinements in the 2 A resolution range. Copyright 2001 Academic Press.

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Year:  2001        PMID: 11580256     DOI: 10.1006/jmbi.2001.4965

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


  14 in total

1.  SCit: web tools for protein side chain conformation analysis.

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Journal:  Proteins       Date:  2005-11-15

Review 3.  CHARMM: the biomolecular simulation program.

Authors:  B R Brooks; C L Brooks; A D Mackerell; L Nilsson; R J Petrella; B Roux; Y Won; G Archontis; C Bartels; S Boresch; A Caflisch; L Caves; Q Cui; A R Dinner; M Feig; S Fischer; J Gao; M Hodoscek; W Im; K Kuczera; T Lazaridis; J Ma; V Ovchinnikov; E Paci; R W Pastor; C B Post; J Z Pu; M Schaefer; B Tidor; R M Venable; H L Woodcock; X Wu; W Yang; D M York; M Karplus
Journal:  J Comput Chem       Date:  2009-07-30       Impact factor: 3.376

4.  Integrated description of protein dynamics from room-temperature X-ray crystallography and NMR.

Authors:  R Bryn Fenwick; Henry van den Bedem; James S Fraser; Peter E Wright
Journal:  Proc Natl Acad Sci U S A       Date:  2014-01-13       Impact factor: 11.205

5.  Side-Chain Conformational Preferences Govern Protein-Protein Interactions.

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Journal:  J Am Chem Soc       Date:  2016-08-09       Impact factor: 15.419

6.  A versatile method for systematic conformational searches: application to CheY.

Authors:  Robert J Petrella
Journal:  J Comput Chem       Date:  2011-05-06       Impact factor: 3.376

7.  OPTIMIZATION BIAS IN ENERGY-BASED STRUCTURE PREDICTION.

Authors:  Robert J Petrella
Journal:  J Theor Comput Chem       Date:  2013-12       Impact factor: 0.939

8.  Direct Calculation of Protein Fitness Landscapes through Computational Protein Design.

Authors:  Loretta Au; David F Green
Journal:  Biophys J       Date:  2016-01-05       Impact factor: 4.033

9.  Accurate calculation of mutational effects on the thermodynamics of inhibitor binding to p38α MAP kinase: a combined computational and experimental study.

Authors:  Shun Zhu; Sue M Travis; Adrian H Elcock
Journal:  J Chem Theory Comput       Date:  2013-07-09       Impact factor: 6.006

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

Authors:  Alice Qinhua Zhou; Diego Caballero; Corey S O'Hern; Lynne Regan
Journal:  Biophys J       Date:  2013-11-19       Impact factor: 4.033

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