Xiao Xuan, Xue Guang-Fu, Stamatovic Biljana, Qiu Wang-Ren
Computer Department, Jing-De-Zhen Ceramic Institute, Jingdezhen, China.
Faculty of Information Systems and Technologies, University of Donja Gorica, Podgorica, Montenegro.
Front Genet. 2020 Jun 9;11:515. doi: 10.3389/fgene.2020.00515. eCollection 2020.
Proteins play primary roles in important biological processes such as catalysis, physiological functions, and immune system functions. Thus, the research on how proteins evolved has been a nuclear question in the field of evolutionary biology. General models of protein evolution help to determine the baseline expectations for evolution of sequences, and these models have been extensively useful in sequence analysis as well as for the computer simulation of artificial sequence data sets. We have developed a new method of simulating multi-domain protein evolution, including fusions of domains, insertion, and deletion. It has been observed via the simulation test that the success rates achieved by the proposed predictor are remarkably high. For the convenience of the most experimental scientists, a user-friendly web server has been established at http://jci-bioinfo.cn/domainevo, by which users can easily get their desired results without having to go through the detailed mathematics. Through the simulation results of this website, users can predict the evolution trend of the protein domain architecture.
蛋白质在诸如催化、生理功能和免疫系统功能等重要生物过程中发挥着主要作用。因此，关于蛋白质如何进化的研究一直是进化生物学领域的核心问题。蛋白质进化的通用模型有助于确定序列进化的基线预期，并且这些模型在序列分析以及人工序列数据集的计算机模拟中都有广泛的用途。我们开发了一种模拟多结构域蛋白质进化的新方法，包括结构域融合、插入和缺失。通过模拟测试观察到，所提出的预测器取得的成功率非常高。为了方便大多数实验科学家，已在http://jci-bioinfo.cn/domainevo建立了一个用户友好的网络服务器，用户通过该服务器可以轻松获得所需结果，而无需钻研详细的数学内容。通过该网站的模拟结果，用户可以预测蛋白质结构域结构的进化趋势。
