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Detalle de: An Effective Solution for Drug Discovery Based on the Tangram Meta-Heuristic and Compound Filtering

Title An Effective Solution for Drug Discovery Based on the Tangram Meta-Heuristic and Compound Filtering
Abstract

Ligand-Based Virtual Screening accelerates and cheapens the design of new drugs. However, it needs efficient optimizers because of the size of compound databases. This work proposes a new method called Tangram CW. The proposal also encloses a knowledge-based filter of compounds. Tangram CW achieves comparable results to the state-of-the-art tools OptiPharm and 2L-GO-Pharm using about a tenth of their computational budget without filtering. Activating it discards more than two thirds of the database while keeping the desired compounds. Thus, it is possible to consider molecular flexibility despite increasing the options. The implemented software package is public.

Apa Reference Cruz, N.C., Puertas-Martín, S., Redondo, J.L. & Ortigosa, P.M. (2023). An Effective Solution for Drug Discovery Based on the Tangram Meta-Heuristic and Compound Filtering. Informatica, 743-769. 10.15388/23-INFOR535
Doi 10.15388/23-INFOR535
Publication Date 2023
Publication Type Article
Researcher Savins Puertas Martin
Ontology Bioinformatics Software and Tools, Molecular flexibility, Biological Databases, Drug Discovery and design, Molecular Interactions/Docking, Virtual screening
Research Groups
Tools

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