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

Yudith Cañizares-CarmenateFacundo Pérez GiménezRoberto Díaz-AmadorFrancisco TorrensJuan A. Castillo‐Garit2026-03-222026-03-22202510.2174/0115680266369656250428053942https://doi.org/10.2174/0115680266369656250428053942https://andeanlibrary.org/handle/123456789/77087This 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.enThermolysinArtificial neural networkArtificial intelligenceQuantitative structure–activity relationshipComputer scienceCheminformaticsMachine learningMultilayer perceptronDrug discoveryRadial basis functionDiscovery of Diphenylsilane Compounds as Potential Inhibitors ofZn-Metalloproteinase Thermolysin Using Artificial Neural Networksarticle