Revolutionizing drug Discovery: Biochemistry at the intersection of ai and structural biology
International Journal of Development Research
Revolutionizing drug Discovery: Biochemistry at the intersection of ai and structural biology
Received 17th December, 2024; Received in revised form 23rd December, 2024; Accepted 27th January, 2025; Published online 27th February, 2025
Copyright©2025, Mounica, V et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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.