| Autor: |
Rajaei F, Minoccheri C, Wittrup E, Wilson RC, Athey BD, Omenn GS, Najarian K |
| Jazyk: |
angličtina |
| Zdroj: |
IEEE/ACM transactions on computational biology and bioinformatics [IEEE/ACM Trans Comput Biol Bioinform] 2024 Nov 06; Vol. PP. Date of Electronic Publication: 2024 Nov 06. |
| DOI: |
10.1109/TCBB.2024.3492708 |
| Abstrakt: |
Over the past few years, artificial intelligence (AI) has emerged as a transformative force in drug discovery and development (DDD), revolutionizing many aspects of the process. This survey provides a comprehensive review of recent advancements in AI applications within early drug discovery and post-market drug assessment. It addresses the identification and prioritization of new therapeutic targets, prediction of drug-target interaction (DTI), design of novel drug-like molecules, and assessment of the clinical efficacy of new medications. By integrating AI technologies, pharmaceutical companies can accelerate the discovery of new treatments, enhance the precision of drug development, and bring more effective therapies to market. This shift represents a significant move towards more efficient and cost-effective methodologies in the DDD landscape. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
|
