Literature DB >> 1569551

Structure-derived hydrophobic potential. Hydrophobic potential derived from X-ray structures of globular proteins is able to identify native folds.

G Casari1, M J Sippl.   

Abstract

We present a model for the hydrophobic interaction in globular proteins that is based entirely on an analysis of known X-ray structures. This structure-derived hydrophobic force is identified as the strongest among the non-covalent interactions that stabilize native folds. The functional form of the hydrophobic interaction is found to be linear, corresponding to a constant force along the observable distance range (5 to 70 A). The parameters of the hydrophobic amino acid pair potentials yield a structure-derived hydrophobicity scale that correlates strongly with scales derived by a variety of complementary approaches. We demonstrate that the structure-derived hydrophobic interaction alone is able to distinguish a substantial number of native conformations from a large pool of misfolded structures.

Mesh:

Year:  1992        PMID: 1569551     DOI: 10.1016/0022-2836(92)90556-y

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


  39 in total

1.  Statistical potentials for fold assessment.

Authors:  Francisco Melo; Roberto Sánchez; Andrej Sali
Journal:  Protein Sci       Date:  2002-02       Impact factor: 6.725

2.  Atom depth as a descriptor of the protein interior.

Authors:  Alessandro Pintar; Oliviero Carugo; Sándor Pongor
Journal:  Biophys J       Date:  2003-04       Impact factor: 4.033

3.  Distance-scaled, finite ideal-gas reference state improves structure-derived potentials of mean force for structure selection and stability prediction.

Authors:  Hongyi Zhou; Yaoqi Zhou
Journal:  Protein Sci       Date:  2002-11       Impact factor: 6.725

4.  Propensities, probabilities, and the Boltzmann hypothesis.

Authors:  David Shortle
Journal:  Protein Sci       Date:  2003-06       Impact factor: 6.725

5.  A new method for estimating the importance of hydrogen-bonding groups in the binding site of a protein.

Authors:  Matthew D Kelly; Ricardo L Mancera
Journal:  J Comput Aided Mol Des       Date:  2003-07       Impact factor: 3.686

6.  Sequence-structure matching in globular proteins: application to supersecondary and tertiary structure determination.

Authors:  A Godzik; J Skolnick
Journal:  Proc Natl Acad Sci U S A       Date:  1992-12-15       Impact factor: 11.205

7.  The dependence of all-atom statistical potentials on structural training database.

Authors:  Chi Zhang; Song Liu; Hongyi Zhou; Yaoqi Zhou
Journal:  Biophys J       Date:  2004-06       Impact factor: 4.033

8.  How do side chains orient globally in protein structures?

Authors:  Aimin Yan; Robert L Jernigan
Journal:  Proteins       Date:  2005-11-15

9.  Statistical potential for assessment and prediction of protein structures.

Authors:  Min-Yi Shen; Andrej Sali
Journal:  Protein Sci       Date:  2006-11       Impact factor: 6.725

10.  Reduced C(beta) statistical potentials can outperform all-atom potentials in decoy identification.

Authors:  James E Fitzgerald; Abhishek K Jha; Andres Colubri; Tobin R Sosnick; Karl F Freed
Journal:  Protein Sci       Date:  2007-10       Impact factor: 6.725

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