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Detalle de: Bioactive Conformational Ensemble Server and Database. A Public Framework to Speed Up In Silico Drug Discovery

Title Bioactive Conformational Ensemble Server and Database. A Public Framework to Speed Up In Silico Drug Discovery
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 of the steps to transform one-dimensional (1D) or 2D representation of drugs into 3D 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 are 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.

Apa Reference Zivanovic, S., Bayarri, G., Colizzi, F., Moreno, D., Gelpí, J.L., Soliva, R., Hospital, A. & Orozco, M. (2020). Bioactive Conformational Ensemble Server and Database. A Public Framework to Speed Up In Silico Drug Discovery. Journal of Chemical Theory and Computation, 16(10), 6586-6597. 10.1021/acs.jctc.0c00305
Doi 10.1021/acs.jctc.0c00305
Publication Date 6 Aug 2020
Publication Type Article
Researcher Francesco Colizzi
Ontology Molecular flexibility, Biological Databases, Computational models and simulations, Web-service, Biomolecular simulation, Drug Discovery and design, Molecular Interactions/Docking, Clustering
Research Groups
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