Discovery of Diphenylsilane Compounds as Potential Inhibitors ofZn-Metalloproteinase Thermolysin Using Artificial Neural Networks

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dc.contributor.authorYudith Cañizares-Carmenate
dc.contributor.authorFacundo Pérez Giménez
dc.contributor.authorRoberto Díaz-Amador
dc.contributor.authorFrancisco Torrens
dc.contributor.authorJuan A. Castillo‐Garit
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T19:36:52Z
dc.date.available2026-03-22T19:36:52Z
dc.date.issued2025
dc.description.abstractThis methodology offers advantages over traditional methods related to saving time and money. Furthermore, the results obtained suggest that the three identified compounds could be used for the treatment of cardiovascular pathologies because of their homology with human vasopeptidases.
dc.identifier.doi10.2174/0115680266369656250428053942
dc.identifier.urihttps://doi.org/10.2174/0115680266369656250428053942
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/77087
dc.language.isoen
dc.publisherBentham Science Publishers
dc.relation.ispartofCurrent Topics in Medicinal Chemistry
dc.sourceUniversidad Central
dc.subjectThermolysin
dc.subjectArtificial neural network
dc.subjectArtificial intelligence
dc.subjectQuantitative structure–activity relationship
dc.subjectComputer science
dc.subjectCheminformatics
dc.subjectMachine learning
dc.subjectMultilayer perceptron
dc.subjectDrug discovery
dc.subjectRadial basis function
dc.titleDiscovery of Diphenylsilane Compounds as Potential Inhibitors ofZn-Metalloproteinase Thermolysin Using Artificial Neural Networks
dc.typearticle

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