title: Protein fold recognition score functions: unusual construction strategies.
abstract: 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.
authors.affiliation: Research School of Chemistry, Australian National University, Canberra, ACT, Australia.
authors.forename: D J
authors.initials: DJ
authors.lastname: Ayers
authors.forename: T
authors.initials: T
authors.lastname: Huber
authors.forename: A E
authors.initials: AE
authors.lastname: Torda
mesh_terms: D003205:Computing Methodologies; D009010:Monte Carlo Method; D011487:Protein Conformation; D017510:Protein Folding; D011506:Proteins / Q000737:chemistry*; D016415:Sequence Alignment / Q000379:methods*; D016008:Statistical Distributions; D013816:Thermodynamics
chemical_list: D011506:Proteins