We describe two ways of optimizing score functions for protein sequence to
structure threading. The first method adjusts parameters to improve sequenc
e to structure alignment. The second adjusts parameters so as to improve a
score function's ability to rank alignments calculated in the first score f
unction. 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 func
tions can be profitably optimized for very specific aspects of protein fold
recognition, Proteins 1999;36:454-461. (C) 1999 Wiley-Liss, Inc.