Estimating statistical significance of local protein profile-profile alignments.

ABSTRACT:

Background

Alignment of sequence families described by profiles provides a sensitive means for establishing homology between proteins and is important in protein evolutionary, structural, and functional studies. In the context of a steadily growing amount of sequence data, estimating the statistical significance of alignments, including profile-profile alignments, plays a key role in alignment-based homology search algorithms. Still, it is an open question as to what and whether one type of distribution governs profile-profile alignment score, especially when profile-profile substitution scores involve such terms as secondary structure predictions.

Results

This study presents a methodology for estimating the statistical significance of this type of alignments. The methodolog

SUBMITTER: Margelevicius M 

PROVIDER: S-EPMC6693267 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature