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 |
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