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Coevolution-based prediction of protein-protein interactions in polyketide biosynthetic assembly lines.
Bioinformatics ( IF 5.8 ) Pub Date : 2020-06-27 , DOI: 10.1093/bioinformatics/btaa595
Yan Wang 1 , Miguel Correa Marrero 1 , Marnix H Medema 1 , Aalt D J van Dijk 1, 2
Affiliation  

Polyketide synthases (PKSs) are enzymes that generate diverse molecules of great pharmaceutical importance, including a range of clinically used antimicrobials and antitumor agents. Many polyketides are synthesized by cis-AT modular PKSs, which are organized in assembly lines, in which multiple enzymes line up in a specific order. This order is defined by specific protein–protein interactions (PPIs). The unique modular structure and catalyzing mechanism of these assembly lines makes their products predictable and also spurred combinatorial biosynthesis studies to produce novel polyketides using synthetic biology. However, predicting the interactions of PKSs, and thereby inferring the order of their assembly line, is still challenging, especially for cases in which this order is not reflected by the ordering of the PKS-encoding genes in the genome.

中文翻译:

聚酮化合物生物合成组装线中蛋白质之间相互作用的基于进化的预测。

聚酮化合物合酶(PKS)是产生具有重要药物重要性的各种分子的酶,包括一系列临床使用的抗微生物剂和抗肿瘤剂。许多聚酮化合物是通过顺式合成的-AT模块化PKS,以组装线形式组织,其中多种酶以特定顺序排列。此顺序由特定的蛋白质间相互作用(PPI)定义。这些组装线的独特模块化结构和催化机理使其产品可预测,并且促进了组合生物合成研究,从而利用合成生物学方法生产了新型聚酮化合物。然而,预测PKS的相互作用并由此推断其组装线的顺序仍然是挑战性的,特别是对于其中该顺序不能通过基因组中PKS编码基因的顺序反映的情况。
更新日期:2020-06-27
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