Protein fold recognition score functions: Unusual construction strategies


Autoria(s): Ayers, DJ; Huber, T; Torda, AE
Data(s)

01/01/1999

Resumo

We describe two ways of optimizing score functions for protein sequence to structure threading. The first method adjusts parameters to improve sequence to structure alignment. The second adjusts parameters so as to improve a score function's ability to rank alignments calculated in the first score function. Unlike those functions known as knowledge-based force fields, the resulting parameter sets do not rely on Boltzmann statistics, have no claim to representing free energies and are purely constructions for recognizing protein folds. The methods give a small improvement, but suggest that functions can be profitably optimized for very specific aspects of protein fold recognition, Proteins 1999;36:454-461. (C) 1999 Wiley-Liss, Inc.

Identificador

http://espace.library.uq.edu.au/view/UQ:35780

Idioma(s)

eng

Palavras-Chave #Biochemistry & Molecular Biology #Biophysics #Force Field #Optimization #Protein Structure #Structure Prediction #Knowledge-based Protein Structure Prediction #Fold Recognition #Threading #Structure Prediction #Energy Functions #Structure Alignment #Globular-proteins #Fssp Database #Force-field #2 Proteins #Mean Force #Sequence #Potentials
Tipo

Journal Article