Computational Molecular Biology Interdisciplinary Technological Integration and New Advances

Jessi White, Garen Lee
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Abstract

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.
计算分子生物学跨学科技术集成与新进展
本文综述了计算分子生物学的发展、基本技术、应用及未来发展方向。计算分子生物学是一个跨学科的领域,它整合了计算机科学、统计学和生物学的知识来研究分子生物学问题。本文着重介绍了计算分子生物学的基本技术,并讨论了计算分子生物学在生物医学研究中的应用。通过使用计算分子生物学方法,研究人员可以更好地了解生物体内的分子结构和功能,从而设计出更有效的药物和治疗策略,以及发现新的治疗靶点和途径。最后,对计算分子生物学的发展方向进行了展望。随着这些技术的不断发展,计算分子生物学的应用范围将进一步扩大,为生物医学研究带来更多的创新和突破。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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