HFSP: high speed homology-driven function annotation of proteins.

ABSTRACT:

Motivation

The rapid drop in sequencing costs has produced many more (predicted) protein sequences than can feasibly be functionally annotated with wet-lab experiments. Thus, many computational methods have been developed for this purpose. Most of these methods employ homology-based inference, approximated via sequence alignments, to transfer functional annotations between proteins. The increase in the number of available sequences, however, has drastically increased the search space, thus significantly slowing down alignment methods.

Results

Here we describe homology-derived functional similarity of proteins (HFSP), a novel computational method that uses results of a high-speed alignment algorithm, MMseqs2, to infer functional similarity of proteins on the basis of their al

SUBMITTER: Mahlich Y 

PROVIDER: S-EPMC6022561 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature