dc.contributor.author
Zivanovic, Sanja
dc.contributor.author
Bayarri, Genís
dc.contributor.author
Colizzi, Francesco
dc.contributor.author
Moreno Fajardo, David Fernando
dc.contributor.author
Gelpí Buchaca, Josep Lluís
dc.contributor.author
Soliva, Robert
dc.contributor.author
Hospital Gasch, Adam
dc.contributor.author
Orozco López, Modesto
dc.date.issued
2021-07-20T09:34:40Z
dc.date.issued
2021-08-06T05:10:20Z
dc.date.issued
2020-08-06
dc.date.issued
2021-07-20T09:34:40Z
dc.identifier
https://hdl.handle.net/2445/179230
dc.description.abstract
Modern high-throughput structure-based drug discovery algorithms consider ligand flexibility, but typically with low accuracy, which results in a loss of performance in the derived models. Here we present the Bioactive Conformational Ensemble (BCE) server and its associated database. The server creates conformational ensembles of drug-like ligands and stores them in the BCE database, where a variety of analyses are offered to the user. The workflow implemented in the BCE server combines enhanced sampling molecular dynamics with self-consistent reaction field quantum mechanics (SCRF/QM) calculations. The server automatizes all the steps to transform 1D or 2D representation of drugs into three dimensional molecules, which are then titrated, parametrized, hydrated and optimized before being subjected to Hamiltonian replica-exchange (HREX) molecular dynamics simulations. Ensembles are collected and subjected to a clustering procedure to derive representative conformers, which are then analyzed at the SCRF/QM level of theory. All structural data is organized in a noSQL database accessible through a graphical interface and in a programmatic manner through a REST API. The server allows the user to define a private workspace and offers a deposition protocol as well as input files for "in house" calculations in those cases where confidentiality is a must. The database and the associated server are available at https://mmb.irbbarcelona.org/BCE
dc.format
application/pdf
dc.publisher
American Chemical Society
dc.relation
Versió postprint del document publicat a: https://doi.org/10.1021/acs.jctc.0c00305
dc.relation
Journal of Chemical Theory and Computation, 2020, vol. 16, num. 10, p. 6586-6597
dc.relation
https://doi.org/10.1021/acs.jctc.0c00305
dc.relation
info:eu-repo/grantAgreement/EC/H2020/823830/EU//BioExcel-2
dc.relation
info:eu-repo/grantAgreement/EC/H2020/752415/EU//FRAGMENTOME
dc.rights
(c) American Chemical Society , 2020
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Articles publicats en revistes (Bioquímica i Biomedicina Molecular)
dc.subject
Bases de dades
dc.title
Bioactive conformational ensemble server and database. A public framework to speed up in silico drug discovery.
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/acceptedVersion