Protein sequence-structure alignment based on site-alignment probabilities.

Abstract

A protein sequence-structure alignment method for database searches is examined on how effectively this method together with a simple scoring function previously developed can identify compatibilities between sequences and structures of proteins. The scoring function consists of pairwise contact energies, repulsive packing potentials of residues for overly dense arrangement and short-range potentials for secondary structures. Pairwise contact interactions in a sequence-structure alignment are evaluated in a mean field approximation on the basis of probabilities of site pairs to be aligned. Gap penalties are assumed to be proportional to the number of contacts at each residue position, and as a result gaps will be more frequently placed on protein surfaces than in cores. In addition to minimum energy alignments, we use probability alignments made by successively aligning site pairs in order by pairwise alignment probabilities. Results show that the present energy function and alignment method can detect well both folds compatible with a given sequence and, inversely, sequences compatible with a given fold. Probability alignments consisting of most reliable site pairs only can yield small root mean square deviations, and including less reliable pairs increases the deviations. Remarkably, by this method some individual sequence-structure pairs are detected having only 5-20% sequence identity.