Back to Search Start Over

LIBRA-WA: A web application for ligand binding site detection and protein function recognition

Authors :
Toti, Daniele
Viet Hung, L.
Tortosa, V.
Brandi, V.
Polticelli, F.
Toti D. (ORCID:0000-0002-9668-6961)
Toti, Daniele
Viet Hung, L.
Tortosa, V.
Brandi, V.
Polticelli, F.
Toti D. (ORCID:0000-0002-9668-6961)
Publication Year :
2018

Abstract

Recently, LIBRA, a tool for active/ligand binding site prediction, was described. LIBRA's effectiveness was comparable to similar state-of-the-art tools; however, its scoring scheme, output presentation, dependence on local resources and overall convenience were amenable to improvements. To solve these issues, LIBRA-WA, a web application based on an improved LIBRA engine, has been developed, featuring a novel scoring scheme consistently improving LIBRA's performance, and a refined algorithm that can identify binding sites hosted at the interface between different subunits. LIBRA-WA also sports additional functionalities like ligand clustering and a completely redesigned interface for an easier analysis of the output. Extensive tests on 373 apoprotein structures indicate that LIBRA-WA is able to identify the biologically relevant ligand/ligand binding site in 357 cases (∼96%), with the correct prediction ranking first in 349 cases (∼98% of the latter, ∼94% of the total). The earlier stand-alone tool has also been updated and dubbed LIBRA+, by integrating LIBRA-WA's improved engine for cross-compatibility purposes.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1242038039
Document Type :
Electronic Resource