Title:
The dependence of all-atom statistical potentials on structural training database

dc.contributor.author Zhang, Chi
dc.contributor.author Liu, Song
dc.contributor.author Zhou, Hongyi
dc.contributor.author Zhou, Yaoqi
dc.contributor.corporatename Georgia Institute of Technology. Center for the Study of Systems Biology
dc.contributor.corporatename Georgia Institute of Technology. School of Biology
dc.contributor.corporatename Howard Hughes Medical Institute. Center for Single Molecule Biophysics
dc.contributor.corporatename State University of New York at Buffalo. Dept. of Physiology and Biophysics
dc.date.accessioned 2011-11-08T20:58:50Z
dc.date.available 2011-11-08T20:58:50Z
dc.date.issued 2004-03
dc.description © 2004 by the Biophysical Society en_US
dc.description.abstract An accurate statistical energy function that is suitable for the prediction of protein structures of all classes should be independent of the structural database used for energy extraction. Here, two high-resolution, low-sequence-identity structural databases of 333 a-proteins and 271 b-proteins were built for examining the database dependence of three all-atom statistical energy functions. They are RAPDF (residue-specific all-atom conditional probability discriminatory function), atomic KBP (atomic knowledge-based potential), and DFIRE (statistical potential based on distance-scaled finite ideal-gas reference state). These energy functions differ in the reference states used for energy derivation. The energy functions extracted from the different structural databases are used to select native structures from multiple decoys of 64 a-proteins and 28 b-proteins. The performance in native structure selections indicates that the DFIRE-based energy function is mostly independent of the structural database whereas RAPDF and KBP have a significant dependence. The construction of two additional structural databases of a/b and a 1 b-proteins further confirmed the weak dependence of DFIRE on the structural databases of various structural classes. The possible source for the difference between the three all-atom statistical energy functions is that the physical reference state of ideal gas used in the DFIRE-based energy function is least dependent on the structural database. en
dc.identifier.citation Zhang, C, Liu S, Zhou H, Zhou Y. 2004. The dependence of all-atom statistical potentials on structural training database. Biophysical Journal. 86(6):3349-58. en
dc.identifier.issn 0006-3495
dc.identifier.uri http://hdl.handle.net/1853/41964
dc.language.iso en_US en
dc.publisher Georgia Institute of Technology en
dc.publisher.original Biophysical Society
dc.subject Protein structure prediction en
dc.subject Protein structure training databases en
dc.subject Protein decoys en
dc.subject Statistical energy functions en
dc.title The dependence of all-atom statistical potentials on structural training database en_US
dc.type Text
dc.type.genre Article
dspace.entity.type Publication
local.contributor.corporatename College of Sciences
local.contributor.corporatename School of Biological Sciences
local.contributor.corporatename Center for the Study of Systems Biology
relation.isOrgUnitOfPublication 85042be6-2d68-4e07-b384-e1f908fae48a
relation.isOrgUnitOfPublication c8b3bd08-9989-40d3-afe3-e0ad8d5c72b5
relation.isOrgUnitOfPublication d3d635bd-b38e-4ef6-a2d0-0875b9a83e34
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