Artificial intelligence driven innovations in biochemistry: A review of emerging research frontiers

Authors

  • Mohammed Abdul Lateef Junaid Department of Basic Medical Sciences, College of Medicine, Majmaah University, Al Majmaah, Kingdom of Saudi Arabia

DOI:

https://doi.org/10.17305/bb.2024.11537

Keywords:

Artificial intelligence, AI, biochemistry, machine learning, molecular modeling, drug discovery, personalized medicine, synthetic biology

Abstract

Artificial intelligence (AI) has become a powerful tool in biochemistry, greatly enhancing research capabilities by enabling the analysis of complex datasets, predicting molecular interactions, and accelerating drug discovery. As AI continues to evolve, its applications in biochemistry are poised to expand, revolutionizing both theoretical and applied research. This review explores current and potential AI applications in biochemistry, with a focus on data analysis, molecular modeling, enzyme engineering, and metabolic pathway studies. Key AI techniques—such as machine learning algorithms, natural language processing, and AI-based molecular modeling—are discussed. The review also highlights emerging research areas benefiting from AI, including personalized medicine and synthetic biology. The methodology involves an extensive analysis of existing literature, particularly peer-reviewed studies on AI applications in biochemistry. AI-driven tools like AlphaFold, which have significantly advanced protein structure prediction, are evaluated alongside AI’s role in expediting drug discovery. The review also addresses challenges such as data quality, model interpretability, and ethical considerations. Results indicate that AI has expanded the scope of biochemical research by facilitating large-scale data analysis, enhancing molecular simulations, and opening new avenues of inquiry. However, challenges remain, particularly in data handling and ethical concerns. In conclusion, AI is transforming biochemistry by driving innovation and expanding research possibilities. Future advancements in AI algorithms, interdisciplinary collaboration, and integration with automated techniques will be crucial to fully unlocking AI’s potential in advancing biochemical research.

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Artificial intelligence driven innovations in biochemistry: A review of emerging research frontiers

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Published

14-01-2025

Issue

Section

Review

How to Cite

1.
Artificial intelligence driven innovations in biochemistry: A review of emerging research frontiers. Biomol Biomed [Internet]. 2025 Jan. 14 [cited 2025 Feb. 12];. Available from: https://www.bjbms.org/ojs/index.php/bjbms/article/view/11537