ESSENCE-Dock: A Consensus-Based Approach to Enhance Virtual Screening Enrichment in Drug Discovery

Simple item page
dc.contributor.authorNelen, Jochem
dc.contributor.authorCarmena Bargueño, Miguel
dc.contributor.authorMartínez Cortés, Carlos
dc.contributor.authorRodríguez Martínez, Alejandro
dc.contributor.authorVillalgordo Soto, José Manuel
dc.contributor.authorPérez Sánchez, Horacio
dc.date.accessioned2025-04-03T09:13:39Z
dc.date.available2025-04-03T09:13:39Z
dc.date.issued2024-02-28
dc.descriptionDrug development is a complex, costly, and time-consuming endeavor. While high-throughput screening (HTS) plays a critical role in the discovery stage, it is one of many factors contributing to these challenges. In certain contexts, virtual screening can complement the HTS, potentially offering a more streamlined approach in the initial stages of drug discovery. Molecular docking is an example of a popular virtual screening technique that is often used for this purpose; however, its effectiveness can vary greatly. This has led to the use of consensus docking approaches that combine results from different docking methods to improve the identification of active compounds and reduce the occurrence of false positives. However, many of these methods do not fully leverage the latest advancements in molecular docking. In response, we present ESSENCE-Dock (Effective Structural Screening ENrichment ConsEnsus Dock), a new consensus docking workflow aimed at decreasing false positives and increasing the discovery of active compounds. By utilizing a combination of novel docking algorithms, we improve the selection process for potential active compounds. ESSENCE-Dock has been made to be user-friendly, requiring only a few simple commands to perform a complete screening while also being designed for use in high-performance computing (HPC) environments.es
dc.description.disciplineFarmaciaes
dc.description.facultyCiencias de la Saludes
dc.identifier.citationJ. Chem. Inf. Model. 2024, 64, 5, 1605–1614es
dc.identifier.doi10.1021/acs.jcim.3c01982es
dc.identifier.urihttp://hdl.handle.net/10952/9483
dc.issue.number5es
dc.journal.titleJournal of Chemical Information and Modelinges
dc.language.isoenes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.accessRightsopen accesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleESSENCE-Dock: A Consensus-Based Approach to Enhance Virtual Screening Enrichment in Drug Discoveryes
dc.typejournal articlees
dc.volume.number64es
dspace.entity.typePublication
person.affiliation.nameUniversidad Católica San Antonio de Murcia
person.affiliation.nameUniversidad Católica San Antonio de Murcia
person.affiliation.nameUniversidad Católica San Antonio de Murcia
person.identifier.orcid0000-0002-2735-4859
person.identifier.orcid0000-0002-5029-3089
person.identifier.orcid0000-0002-1251-8072
relation.isAuthorOfPublication35c0282c-3c6d-4aa3-acfe-46c73a787ade
relation.isAuthorOfPublicationcae38b7d-9f91-4f34-8ac7-a0c9a40fd572
relation.isAuthorOfPublication2cb1631c-25f1-4796-8c65-04f62fd55b5e
relation.isAuthorOfPublication.latestForDiscovery35c0282c-3c6d-4aa3-acfe-46c73a787ade

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
ESSENCE-Dock_Submitted.pdf
Size:
996.66 KB
Format:
Adobe Portable Document Format
Description:
Download

Collections

Publicaciones