title: Distance-dependent statistical potentials for discriminating thermophilic and mesophilic proteins.
abstract: Identification of the characteristic structural patterns responsible for protein thermostability is theoretically important and practically useful but largely remains an open problem. These patterns may be revealed through comparative study on thermophilic and mesophilic proteins that have distinct thermostability. In this study, we constructed several distance-dependant potentials from thermophilic and mesophilic proteins. These potentials were then used to evaluate the structural difference between thermophilic and mesophilic proteins. We found that using the subtraction or division of the potentials derived from thermophilic and mesophilic proteins can dramatically increase the discriminatory ability. This approach revealed that the ability to distinct the subtle structural features responsible for protein thermostability may be effectively enhanced through rationally designed comparative study.
authors.affiliation: Applied Bioinformatics Laboratory, University of Kansas, Lawrence, KS 66047, USA.
authors.forename: Yunqi
authors.initials: Y
authors.lastname: Li
authors.forename: Jianwen
authors.initials: J
authors.lastname: Fang
mesh_terms: D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D006358:Hot Temperature; D011487:Protein Conformation; D055550:Protein Stability; D020539:Sequence Analysis, Protein / Q000379:methods*
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