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.
Lingua originale | English |
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pagine (da-a) | 878-880 |
Numero di pagine | 3 |
Rivista | Bioinformatics |
Volume | 34 |
DOI | |
Stato di pubblicazione | Pubblicato - 2018 |
Keywords
- Algorithms
- Binding Sites
- Catalytic Domain
- Computational Biology
- Humans
- Kinesin
- Ligands
- Protein Binding
- Protein Conformation
- Proteins
- Software