Literature DB >> 427111

Side-chain torsional potentials: effect of dipeptide, protein, and solvent environment.

B R Gelin, M Karplus.   

Abstract

Side-chain torsional potentials in the bovine pancreatic trypsin inhibitor are calculated from empirical energy functions by use of the known X-ray structure of the protein and the rigid-geometry mapping technique. The potentials are analyzed to determine the roles and relative importance of contributions from the dipeptide backbone, the protein, and the crystalline environment of solvent and other protein molecules. The structural characteristics of the side chains determine two major patterns of energy surfaces, E(X1,X2): a gamma-branched pattern and a pattern for longer, straight side chains (Arg, Lys, Glu, and Met). Most of the dipeptide potential curves and surfaces have a local minimum corresponding to the side-chain torsional angles in the X-ray structure. Addition of the protein forces sharpens and/or selects from these minima, providing very good agreement with the experimental conformation for most side chains at the surface or in the core of the protein. Inclusion of the crystalline environment produces still better results, especially for the side chains extending away from the protein. The results are discussed in terms of the details of the interactions due to the surrounding, calculated solvent-accessibility figures and the temperature factors derived from the crystallographic refinement of the pancreatic trypsin inhibitor.

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Year:  1979        PMID: 427111     DOI: 10.1021/bi00574a022

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  46 in total

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5.  Relative orientation of close-packed beta-pleated sheets in proteins.

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6.  Normal mode paths for hydrogen exchange in the peptide ferrichrome.

Authors:  R P Sheridan; R M Levy; S W Englander
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7.  The dominant role of side-chain backbone interactions in structural realization of amino acid code. ChiRotor: a side-chain prediction algorithm based on side-chain backbone interactions.

Authors:  Velin Z Spassov; Lisa Yan; Paul K Flook
Journal:  Protein Sci       Date:  2007-01-22       Impact factor: 6.725

8.  Configurational-bias sampling technique for predicting side-chain conformations in proteins.

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9.  Structure of antibody F425-B4e8 in complex with a V3 peptide reveals a new binding mode for HIV-1 neutralization.

Authors:  Christian H Bell; Ralph Pantophlet; André Schiefner; Lisa A Cavacini; Robyn L Stanfield; Dennis R Burton; Ian A Wilson
Journal:  J Mol Biol       Date:  2007-11-13       Impact factor: 5.469

10.  Antigen recognition by variable lymphocyte receptors.

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Journal:  Science       Date:  2008-09-26       Impact factor: 47.728

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