Revolutionizing Pharmaceuticals: applications and potential of Generative Artificial Intelligence in drug discovery
[EN]Artificial intelligence (AI) has emerged as a transformative tool in the pharmaceutical industry, revolutionizing the traditional drug discovery and development process. Through advanced generative techniques, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), th...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Universidad de Salamanca (USAL) |
| Repositorio: | GREDOS. Repositorio Institucional de la Universidad de Salamanca |
| OAI Identifier: | oai:gredos.usal.es:10366/153153 |
| Acceso en línea: | http://hdl.handle.net/10366/153153 |
| Access Level: | acceso abierto |
| Palabra clave: | Generative Artificial Intelligence Drug Design Computational Models 1203.04 Inteligencia Artificial 2390.01 Diseño. Síntesis y Estudio Nuevos Fármacos diseño de fármacos |
| Sumario: | [EN]Artificial intelligence (AI) has emerged as a transformative tool in the pharmaceutical industry, revolutionizing the traditional drug discovery and development process. Through advanced generative techniques, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), the exploration and design of novel and viable therapeutic molecules has been enhanced. Additionally, AI facilitates the optimization of these molecules by guaranteeing desirable properties and accelerates the identification of therapeutic targets through deep analysis of biomedical and genomic data sets. One of the most significant advances has been drug repurposing, where AI unlocks the hidden potential of known drugs for new therapeutic indications.. |
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