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Detalle de: Optimizing Electrostatic Similarity for Virtual Screening: A New Methodology

Title Optimizing Electrostatic Similarity for Virtual Screening: A New Methodology
Abstract

Ligand Based Virtual Screening methods are widely used in drug discovery as filters for subsequent in-vitro and in-vivo characterization. Since the databases processed are enormously large, this pre-selection process requires the use of fast and precise methodologies. In this work, the similarity between compounds is measured in terms of electrostatic potential. To do so, we propose a new and alternative methodology, called LBVS-Electrostatic. Accordingly to the obtained results, we are able to conclude that many of the compounds proposed with our novel approach could not be discovered with the classical one.

Apa Reference Puertas-Martín, S., L. Redondo, J., Pérez-Sánchez, H. & M. Ortigosa, P. (2020). Optimizing Electrostatic Similarity for Virtual Screening: A New Methodology. Informatica, 1-19. 10.15388/20-INFOR424
Doi 10.15388/20-INFOR424
Publication Date 2020
Publication Type Article
Researcher Savins Puertas Martin
Ontology Biological Databases, Drug Discovery and design, Molecular Interactions/Docking, Virtual screening
Research Groups
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