FALCON@home: a high-throughput protein structure prediction server based on remote homologue recognition.

ABSTRACT:

Summary

The protein structure prediction approaches can be categorized into template-based modeling (including homology modeling and threading) and free modeling. However, the existing threading tools perform poorly on remote homologous proteins. Thus, improving fold recognition for remote homologous proteins remains a challenge. Besides, the proteome-wide structure prediction poses another challenge of increasing prediction throughput. In this study, we presented FALCON@home as a protein structure prediction server focusing on remote homologue identification. The design of FALCON@home is based on the observation that a structural template, especially for remote homologous proteins, consists of conserved regions interweaved with highly variable regions. The highly variable regions

SUBMITTER: Wang C 

PROVIDER: S-EPMC4804767 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature