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使用前沿生物信息学工具探索重组蛋白的综合结构和功能潜力。

Exploration of Comprehensive Structural and Functional Potential of Recombinant Proteins Using Cutting-Edge Bioinformatics Tools.

作者信息

Shad Mohsin, Liaqat Ayesha, Nazir Arshia, Hussain Naveed, Yaqoob Khadija, Akhtar Muhammad Waheed, Sajjad Muhammad

机构信息

School of Biological Sciences, University of the Punjab, Quaid-E-Azam Campus, P.O. 54590, Lahore, Pakistan.

Center for Non-Communicable Diseases, Karachi, Pakistan.

出版信息

Appl Biochem Biotechnol. 2025 Sep 9. doi: 10.1007/s12010-025-05366-2.

Abstract

Recombinant DNA technology is widely used to produce industrially and pharmaceutically important proteins. In silico analysis, performed before executing wet lab experiments has been greatly helpful in this connection. A shift in protein analysis has been observed over the past decade, driven by advancements in bioinformatics databases, tools, software, and web servers. Several bioinformatics tools and resources are available for predicting a protein's structural and functional relationship. Insights into the proteins' structure and function are important for drug discovery, development, and enhancing the suitability of the recombinant enzymes/proteins for industrial applications. This review compares and discusses various computational tools that provide structural and functional insights into recombinant proteins, including genome mining, sequence alignment, topological arrangement, physicochemical properties, including solubility and stability, site-directed mutagenesis, protein design and engineering, ligand binding interactions through molecular docking, and molecular dynamics simulation. This comparative study explores the utilisation of different computational tools, software, and web servers with their principles, algorithms, and outcomes. This document would be a milestone for the scientists to select suitable computational approaches to plan and improve the outcome for achieving the desired targets.

摘要

重组DNA技术被广泛用于生产具有工业和药学重要性的蛋白质。在进行湿实验室实验之前进行的计算机分析在这方面非常有帮助。在过去十年中,受生物信息学数据库、工具、软件和网络服务器进步的推动,蛋白质分析发生了转变。有几种生物信息学工具和资源可用于预测蛋白质的结构和功能关系。深入了解蛋白质的结构和功能对于药物发现、开发以及提高重组酶/蛋白质在工业应用中的适用性非常重要。本综述比较并讨论了各种为重组蛋白提供结构和功能见解的计算工具,包括基因组挖掘、序列比对、拓扑排列、物理化学性质(包括溶解性和稳定性)、定点诱变、蛋白质设计与工程、通过分子对接的配体结合相互作用以及分子动力学模拟。这项比较研究探讨了不同计算工具、软件和网络服务器的利用及其原理、算法和结果。本文档将成为科学家选择合适的计算方法来规划和改善结果以实现预期目标的一个里程碑。

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