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

IF 3.3 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Mohsin Shad, Ayesha Liaqat, Arshia Nazir, Naveed Hussain, Khadija Yaqoob, Muhammad Waheed Akhtar, Muhammad Sajjad
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引用次数: 0

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.

利用尖端生物信息学工具探索重组蛋白的综合结构和功能潜力。
重组DNA技术被广泛用于生产工业和医药上重要的蛋白质。在进行湿实验室实验之前进行的硅分析在这方面非常有帮助。在过去的十年中,由于生物信息学数据库、工具、软件和网络服务器的进步,蛋白质分析发生了变化。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、开发和提高重组酶/蛋白质的工业应用适用性具有重要意义。这篇综述比较和讨论了各种计算工具,包括基因组挖掘、序列比对、拓扑排列、物理化学性质(包括溶解度和稳定性)、定点诱变、蛋白质设计和工程、通过分子对接的配体结合相互作用和分子动力学模拟,这些工具提供了重组蛋白的结构和功能见解。这项比较研究探讨了不同计算工具、软件和web服务器的原理、算法和结果的利用。该文件将成为科学家选择合适的计算方法来计划和改进实现预期目标的结果的里程碑。
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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来源期刊
Applied Biochemistry and Biotechnology
Applied Biochemistry and Biotechnology 工程技术-生化与分子生物学
CiteScore
5.70
自引率
6.70%
发文量
460
审稿时长
5.3 months
期刊介绍: This journal is devoted to publishing the highest quality innovative papers in the fields of biochemistry and biotechnology. The typical focus of the journal is to report applications of novel scientific and technological breakthroughs, as well as technological subjects that are still in the proof-of-concept stage. Applied Biochemistry and Biotechnology provides a forum for case studies and practical concepts of biotechnology, utilization, including controls, statistical data analysis, problem descriptions unique to a particular application, and bioprocess economic analyses. The journal publishes reviews deemed of interest to readers, as well as book reviews, meeting and symposia notices, and news items relating to biotechnology in both the industrial and academic communities. In addition, Applied Biochemistry and Biotechnology often publishes lists of patents and publications of special interest to readers.
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