Protein fold determination from sparse distance restraints: The Restrained Generic Protein Direct Monte Carlo method
被引:21
作者:
Debe, DA
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机构:CALTECH, Beckman Inst 139 74, Mat & Proc Simulat Ctr, Pasadena, CA 91125 USA
Debe, DA
Carlson, MJ
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机构:CALTECH, Beckman Inst 139 74, Mat & Proc Simulat Ctr, Pasadena, CA 91125 USA
Carlson, MJ
Sadanobu, J
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机构:CALTECH, Beckman Inst 139 74, Mat & Proc Simulat Ctr, Pasadena, CA 91125 USA
Sadanobu, J
Chan, SI
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机构:CALTECH, Beckman Inst 139 74, Mat & Proc Simulat Ctr, Pasadena, CA 91125 USA
Chan, SI
Goddard, WA
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机构:
CALTECH, Beckman Inst 139 74, Mat & Proc Simulat Ctr, Pasadena, CA 91125 USACALTECH, Beckman Inst 139 74, Mat & Proc Simulat Ctr, Pasadena, CA 91125 USA
Goddard, WA
[1
]
机构:
[1] CALTECH, Beckman Inst 139 74, Mat & Proc Simulat Ctr, Pasadena, CA 91125 USA
[2] Teijin Ltd, Polymer & Mat Res Labs, Yamaguchi 740, Japan
[3] CALTECH, Div Chem & Chem Engn, Pasadena, CA 91125 USA
来源:
JOURNAL OF PHYSICAL CHEMISTRY B
|
1999年
/
103卷
/
15期
关键词:
D O I:
10.1021/jp983429+
中图分类号:
O64 [物理化学(理论化学)、化学物理学];
学科分类号:
070304 ;
081704 ;
摘要:
We present the generate-and-select hierarchy for tertiary protein structure prediction. The foundation of this hierarchy is the Restrained Generic Protein (RGP) Direct Monte Carlo method. The RGP method is a highly efficient off-lattice residue buildup procedure that can quickly generate the complete set of topologies that satisfy a very small number of interresidue distance restraints. For three restraints uniformly distributed in a 72-residue protein, we demonstrate that the size of this set is similar to 10(4). The RGP method can generate this set of structures in less than 1 h using a Silicon Graphics R10000 single processor workstation. Following structure generation a simple criterion that measures the burial of hydrophobic and hydrophilic residues can reliably select a reduced set of similar to 10(2) structures that contains the native topology. A minimization of the structures in the reduced set typically ranks the native topology in the five lowest energy folds. Thus, using this hierarchical approach, we suggest that de novo prediction of moderate resolution globular protein structure can be achieved in just a few hours on a single processor workstation.