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首页> 外文期刊>Journal of Molecular Biology >Comprehensive analysis of distinctive polyketide and nonribosomal peptide structural motifs encoded in microbial genomes.
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Comprehensive analysis of distinctive polyketide and nonribosomal peptide structural motifs encoded in microbial genomes.

机译:对微生物基因组中编码的独特聚酮化合物和非核糖体肽结构基序的综合分析。

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摘要

We developed a highly accurate method to predict polyketide (PK) and nonribosomal peptide (NRP) structures encoded in microbial genomes. PKs/NRPs are polymers of carbonyl/peptidyl chains synthesized by polyketide synthases (PKS) and nonribosomal peptide synthetases (NRPS). We analyzed domain sequences corresponding to specific substrates and physical interactions between PKSs/NRPSs in order to predict which substrates (carbonyl/peptidyl units) are selected and assembled into highly ordered chemical structures. The predicted PKs/NRPs were represented as the sequences of carbonyl/peptidyl units to extract the structural motifs efficiently. We applied our method to 4529 PKSs/NRPSs and found 619 PKs/NRPs. We also collected 1449 PKs/NRPs whose chemical structures have been determined experimentally. The structural sequences were compared using the Smith-Waterman algorithm, and clustered into 271 clusters. From the compound clusters, we extracted 33 structural motifs that are significantly related with theirbioactivities. We used the structural motifs to infer functions of 13 novel PKs/NRPs clusters produced by Pseudomonas spp. and Burkholderia spp. and found a putative virulence factor. The integrative analysis of genomic and chemical information given here will provide a strategy to predict the chemical structures, the biosynthetic pathways, and the biological activities of PKs/NRPs, which is useful for the rational design of novel PKs/NRPs.
机译:我们开发了一种高度准确的方法来预测微生物基因组中编码的聚酮(PK)和非核糖体肽(NRP)结构。 PK / NRP是通过聚酮化合物合酶(PKS)和非核糖体肽合成酶(NRPS)合成的羰基/肽基链的聚合物。我们分析了对应于特定底物的结构域序列以及PKS / NRPS之间的物理相互作用,以预测选择了哪些底物(羰基/肽基单元)并将其组装成高度有序的化学结构。预测的PKs / NRPs表示为羰基/肽基单元的序列,以有效地提取结构基序。我们将我们的方法应用于4529个PKS / NRPS,发现了619个PK / NRP。我们还收集了1449个PK / NRP,其化学结构已通过实验确定。使用Smith-Waterman算法比较结构序列,并聚集成271个聚类。从化合物簇中,我们提取了33个与其生物活性显着相关的结构基序。我们使用结构基序来推断由假单胞菌产生的13个新的PK / NRPs簇的功能。和伯克霍尔德氏菌并发现了一种假定的毒力因子。这里给出的基因组和化学信息的综合分析将提供一种预测PKs / NRPs的化学结构,生物合成途径和生物活性的策略,这对于合理设计新型PKs / NRPs很有用。

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