| dc.contributor.author | Canal-Alonso, Ángel | |
| dc.contributor.author | Egido, Noelia | |
| dc.contributor.author | Jiménez, Pedro | |
| dc.contributor.author | Prieto Tejedor, Javier | |
| dc.contributor.author | Corchado Rodríguez, Juan Manuel | |
| dc.date.accessioned | 2023-10-03T08:29:26Z | |
| dc.date.available | 2023-10-03T08:29:26Z | |
| dc.date.issued | 2022 | |
| dc.identifier.uri | http://hdl.handle.net/10366/153118 | |
| dc.description.abstract | [EN]In the modern era of medicine, artificial intelligence (AI) is playing an increasingly
prominent role in pharmacology. This article highlights the transformative influence of
generative AI in the study and optimization of drug-protein interactions. Through the detailed
analysis of models such as Generative Adversarial Networks (GANs) and Transformers, it is
illustrated how AI can predict and refine interactions between drugs and proteins, leading to
more efficient and safer therapies. Additionally, the ability of generative AI to predict cross drug interactions is discussed, thereby reducing the potential for side effects and
complications related to polypharmacy. The conclusion highlights the synergy between
traditional pharmacological research and AI, | es_ES |
| dc.description.sponsorship | This study has been funded by the AIR Genomics project
(with file number CCTT3/20/SA/0003), through the call 2020
R&D PROJECTS ORIENTED TO THE EXCELLENCE
AND COMPETITIVE IMPROVEMENT OF THE CCTT by
the Institute of Business Competitiveness of Castilla y León
and FEDER funds | es_ES |
| dc.language.iso | eng | es_ES |
| dc.subject | Generative Artificial Intelligence | es_ES |
| dc.subject | Drug Design | es_ES |
| dc.subject | Molecular interaction | es_ES |
| dc.title | Generative Artificial Intelligence in Pharmacology: Revolutionizing Drug-Protein Interaction | es_ES |
| dc.type | info:eu-repo/semantics/article | es_ES |
| dc.subject.unesco | 1203.04 Inteligencia Artificial | es_ES |
| dc.subject.unesco | 2390 Química Farmacéutica | es_ES |
| dc.relation.projectID | CCTT3/20/SA/0003 | es_ES |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
| dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es_ES |