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张凡忠1,2, 相长君1,2,3, 张骊駻1,2
收稿日期:
2022-12-14
修回日期:
2023-02-21
出版日期:
2023-02-21
通讯作者:
张骊駻
作者简介:
基金资助:
Fanzhong ZHANG1,2, Changjun XIANG1,2,3, Lihan ZHANG1,2
Received:
2022-12-14
Revised:
2023-02-21
Online:
2023-02-21
Contact:
Lihan ZHANG
摘要:
自然界亿万年的进化孕育出了丰富的天然产物资源,进而为药物研发提供了巨大的分子宝库。进化导向生物信息学方法在微生物天然产物研究中发挥着越来越重要的作用。微生物基因组数据的快速增长为生物合成基因簇的大数据分析以及进化分析提供了新机遇,不仅让我们对天然产物全景图有了更清晰的认识,还能够揭示天然产物的进化规律、利用进化分析方法和大数据资源挖掘新型的药物先导天然产物,理解生物合成酶,甚至设计改造生物合成体系创造非天然分子。本文综述了近年来进化和大数据导向生物信息学应用于天然产物研究中的相关进展,强调了进化与大数据在生物合成酶的功能预测、进化机理、基因挖掘以及生物合成改造方面的应用,最后,分析了目前面临的问题并对未来发展趋势进行了展望。
中图分类号:
张凡忠, 相长君, 张骊駻. 进化与大数据导向生物信息学在天然产物研究中的发展及应用[J]. 合成生物学 : 1-21, doi: 10.12211/2096-8280.2022-073.
Fanzhong ZHANG, Changjun XIANG, Lihan ZHANG. Advances and applications of evolutionary analysis and big-data guided bioinformatics in natural product research[J]. Synthetic Biology Journal : 1-21, doi: 10.12211/2096-8280.2022-073.
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