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Updated: May 20, 2025

An Optimized Quantitative Pull-Down Analysis of RNA-Binding Proteins Using Short Biotinylated RNA
Published on: February 17, 2023
Advances in artificial intelligence-envisioned technologies for protein and nucleic acid research
Amol D Gholap1, Abdelwahab Omri2
1Department of Pharmaceutics, St. John Institute of Pharmacy and Research, Palghar, Maharashtra 401404, India.
Abstract:
Artificial intelligence (AI) and machine learning (ML) have revolutionized pharmaceutical research, particularly in protein and nucleic acid studies. This review summarizes the current status of AI and ML applications in the pharmaceutical sector, focusing on innovative tools, web servers, and databases. This paper highlights how these technologies address key challenges in drug development including high costs, lengthy timelines, and the complexity of biological systems. Furthermore, the potential of AI in personalized medicine, cancer drug response prediction, and biomarker identification is discussed. The integration of AI and ML in pharmaceutical research promises to accelerate drug discovery, reduce development costs, and ultimately lead to more effective and personalized therapeutic strategies.
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