GET THE APP

Drug design with Artificial Intelligence | 90679

Recherche sur l'économie de la santé et les résultats :Libre accès

ISSN - 2471-268X

Abstrait

Drug design with Artificial Intelligence

Lily Williams

Drug research relies heavily on Artificial Intelligence (AI). Artificial neural networks, such as deep neural networks and recurrent networks, are very important in this field. Numerous applications in property or activity predictions, such as physicochemical and ADMET characteristics, have lately emerged, demonstrating the technology's strength in Quantitative Structure-Property Relationships (QSPR) and Quantitative Structure-Activity Relationships (QSAR) (QSAR). De novo design uses artificial intelligence to guide the creation of new biologically active molecules that have the desired features. Artificial intelligence's strength in this subject is demonstrated by several cases. Combining synthesis planning and ease of synthesis is possible, and computer-aided drug discovery is predicted to become more common in the near future.

Clause de non-responsabilité : Ce résumé a été traduit à l'aide d'outils d'intelligence artificielle et n'a pas encore été révisé ou vérifié.