Review and Progress

Computational Molecular Biology: Interdisciplinary Technological Integration and New Advances  

Jessi White , Garen Lee
1 Cuixi Academy of Biotechnology, Zhuji, 311800, China
2 Hangzhou Lin'an Aikang Biotechnology Co., Ltd., Lin'an, 311300, China
Author    Correspondence author
Computational Molecular Biology, 2023, Vol. 13, No. 3   doi: 10.5376/cmb.2023.13.0003
Received: 04 Aug., 2023    Accepted: 11 Sep., 2023    Published: 25 Sep., 2023
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This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Preferred citation for this article:

White J., and Lee G., 2023, Computational molecular biology: interdisciplinary technological integration and new advances, Computational Molecular Biology, 13(3): 1-12 (doi: 10.5376/cmb.2023.13.0003)


This review presents the development, fundamental techniques, applications, and future directions of Computational Molecular Biology. Computational Molecular Biology is an interdisciplinary field that integrates knowledge from computer science, statistics, and biology to study molecular biology problems. The review emphasizes the fundamental techniques in Computational Molecular Biology and discusses its applications in biomedical research. Through the use of Computational Molecular Biology approaches, researchers can gain better insights into the molecular structures and functions within organisms, leading to the design of more effective drugs and treatment strategies, as well as the discovery of new therapeutic targets and pathways. Lastly, the review explores the future directions of Computational Molecular Biology. As these techniques continue to evolve, Computational Molecular Biology will further expand its application scope, bringing about more innovations and breakthroughs in biomedical research.

Computational Molecular Biology; Biomedical Research; Data Analysis; Risk Prediction
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