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

SUMMARY: 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...

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Autores principales: Toti, Daniele, Viet Hung, Le, Tortosa, Valentina, Brandi, Valentina, Polticelli, Fabio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6192203/
https://www.ncbi.nlm.nih.gov/pubmed/29126218
http://dx.doi.org/10.1093/bioinformatics/btx715
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author Toti, Daniele
Viet Hung, Le
Tortosa, Valentina
Brandi, Valentina
Polticelli, Fabio
author_facet Toti, Daniele
Viet Hung, Le
Tortosa, Valentina
Brandi, Valentina
Polticelli, Fabio
author_sort Toti, Daniele
collection PubMed
description SUMMARY: 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. AVAILABILITY AND IMPLEMENTATION: LIBRA-WA and LIBRA+ are available at: http://www.computationalbiology.it/software.html. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-61922032019-03-01 LIBRA-WA: a web application for ligand binding site detection and protein function recognition Toti, Daniele Viet Hung, Le Tortosa, Valentina Brandi, Valentina Polticelli, Fabio Bioinformatics Applications Notes SUMMARY: 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. AVAILABILITY AND IMPLEMENTATION: LIBRA-WA and LIBRA+ are available at: http://www.computationalbiology.it/software.html. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2018-03-01 2017-11-06 /pmc/articles/PMC6192203/ /pubmed/29126218 http://dx.doi.org/10.1093/bioinformatics/btx715 Text en © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com https://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Toti, Daniele
Viet Hung, Le
Tortosa, Valentina
Brandi, Valentina
Polticelli, Fabio
LIBRA-WA: a web application for ligand binding site detection and protein function recognition
title LIBRA-WA: a web application for ligand binding site detection and protein function recognition
title_full LIBRA-WA: a web application for ligand binding site detection and protein function recognition
title_fullStr LIBRA-WA: a web application for ligand binding site detection and protein function recognition
title_full_unstemmed LIBRA-WA: a web application for ligand binding site detection and protein function recognition
title_short LIBRA-WA: a web application for ligand binding site detection and protein function recognition
title_sort libra-wa: a web application for ligand binding site detection and protein function recognition
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6192203/
https://www.ncbi.nlm.nih.gov/pubmed/29126218
http://dx.doi.org/10.1093/bioinformatics/btx715
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