Revolutionizing drug Discovery: Biochemistry at the intersection of ai and structural biology
Year: 2025
Type: article
Abstract: The integration of artificial intelligence (AI) and structural biology is transforming the field of drug discovery. AI-driven tools, such as AlphaFold, are enabling accurate protein structure predictions, while machine learning algorithms are facilitating the identification of novel drug targets and lead compounds. Structural biology innovations, including cryo-electron microscopy and X-ray crystallography, are providing high-resolution insights into protein-ligand interactions. This convergence of technologies is accelerating drug discovery, reducing costs, and improving accuracy. Successful implementation requires high-quality data, ethical considerations, and interdisciplinary collaboration. As AI and structural biology continue to evolve, they hold promise for delivering safer, more effective, and personalized treatments for patients worldwide.
Author: Mounica, V., A. Jagan Mohan and J. Shantilal Nayak
Institution: National Dairy Research Institute
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4414333090
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