Premium
Protein fold recognition without Boltzmann statistics or explicit physical basis
Author(s) -
Huber Thomas,
Torda Andrew E.
Publication year - 1998
Publication title -
protein science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.353
H-Index - 175
eISSN - 1469-896X
pISSN - 0961-8368
DOI - 10.1002/pro.5560070115
Subject(s) - threading (protein sequence) , fold (higher order function) , sequence (biology) , protein structure prediction , basis (linear algebra) , computer science , force field (fiction) , protein structure , algorithm , protein folding , pattern recognition (psychology) , computational biology , physics , mathematics , artificial intelligence , biology , geometry , nuclear magnetic resonance , genetics , programming language
We present a fast method for finding optimal parameters for a low‐resolution (threading) force field intended to distinguish correct from incorrect folds for a given protein sequence. In contrast to other methods, the parameterization uses information from >10 7 misfolded structures as well as a set of native sequence‐structure pairs. In addition to testing the resulting force field's performance on the protein sequence threading problem, results are shown that characterize the number of parameters necessary for effective structure recognition.