Advances in artificial intelligence-envisioned technologies for protein and nucleic acid research DOI Creative Commons
Amol D. Gholap, Abdelwahab Omri

Drug Discovery Today, Journal Year: 2025, Volume and Issue: unknown, P. 104362 - 104362

Published: April 1, 2025

Artificial intelligence (AI) and machine learning (ML) have revolutionized pharmaceutical research, particularly in protein nucleic acid studies. This review summarizes the current status of AI ML applications sector, focusing on innovative tools, web servers, databases. paper highlights how these technologies address key challenges drug development including high costs, lengthy timelines, complexity biological systems. Furthermore, potential personalized medicine, cancer response prediction, biomarker identification is discussed. The integration research promises to accelerate discovery, reduce ultimately lead more effective therapeutic strategies.

Language: Английский

Advances in artificial intelligence-envisioned technologies for protein and nucleic acid research DOI Creative Commons
Amol D. Gholap, Abdelwahab Omri

Drug Discovery Today, Journal Year: 2025, Volume and Issue: unknown, P. 104362 - 104362

Published: April 1, 2025

Artificial intelligence (AI) and machine learning (ML) have revolutionized pharmaceutical research, particularly in protein nucleic acid studies. This review summarizes the current status of AI ML applications sector, focusing on innovative tools, web servers, databases. paper highlights how these technologies address key challenges drug development including high costs, lengthy timelines, complexity biological systems. Furthermore, potential personalized medicine, cancer response prediction, biomarker identification is discussed. The integration research promises to accelerate discovery, reduce ultimately lead more effective therapeutic strategies.

Language: Английский

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