Discovery of Diphenylsilane Compounds as Potential Inhibitors ofZn-Metalloproteinase Thermolysin Using Artificial Neural Networks
This 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.
Authors
- Yudith Cañizares-Carmenate (ORCID: https://orcid.org/0000-0003-3972-1318)
- Juan A. Castillo‐Garit (ORCID: https://orcid.org/0000-0003-0896-9484)
- Facundo Pérez Giménez (ORCID: https://orcid.org/0000-0002-2212-9812)
- Francisco Torrens (ORCID: https://orcid.org/0000-0002-8534-208X)
- Roberto Díaz-Amador (ORCID: https://orcid.org/0000-0002-4289-9638)
Institutions
- Universidad de Cantabria (ES)
- Universitat de València (ES)
- Catholic University of the Maule (CL)
- Parc Científic de la Universitat de València (ES)
- Universidad Central "Marta Abreu" de las Villas (UCLV) (CU)
- Universidad Central (BO)
- Universidad Central (CR)
- Universidad del Valle (NI)
- Dirección de Investigación y Desarrollo (CL)
- Metropolitan University of Technology (CL)
Publication Details
- Journal
- Current Topics in Medicinal Chemistry
- Published
- 2025-05-07
- DOI
- https://doi.org/10.2174/0115680266369656250428053942
- Citations
- 1
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 1.50