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| 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 |
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