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聚酮和非核糖体肽回溯生物合成及全局基因簇匹配。

Polyketide and nonribosomal peptide retro-biosynthesis and global gene cluster matching.

机构信息

Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada.

Department of Chemistry and Chemical Biology, M. G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, Ontario, Canada.

出版信息

Nat Chem Biol. 2016 Dec;12(12):1007-1014. doi: 10.1038/nchembio.2188. Epub 2016 Oct 3.

Abstract

Polyketides (PKs) and nonribosomal peptides (NRPs) are profoundly important natural products, forming the foundations of many therapeutic regimes. Decades of research have revealed over 11,000 PK and NRP structures, and genome sequencing is uncovering new PK and NRP gene clusters at an unprecedented rate. However, only ∼10% of PK and NRPs are currently associated with gene clusters, and it is unclear how many of these orphan gene clusters encode previously isolated molecules. Therefore, to efficiently guide the discovery of new molecules, we must first systematically de-orphan emergent gene clusters from genomes. Here we provide to our knowledge the first comprehensive retro-biosynthetic program, generalized retro-biosynthetic assembly prediction engine (GRAPE), for PK and NRP families and introduce a computational pipeline, global alignment for natural products cheminformatics (GARLIC), to uncover how observed biosynthetic gene clusters relate to known molecules, leading to the identification of gene clusters that encode new molecules.

摘要

聚酮类化合物 (PKs) 和非核糖体肽 (NRPs) 是非常重要的天然产物,是许多治疗方案的基础。数十年的研究揭示了超过 11000 种 PK 和 NRP 结构,而基因组测序正以前所未有的速度揭示新的 PK 和 NRP 基因簇。然而,目前只有约 10%的 PK 和 NRPs 与基因簇相关联,并且不清楚这些孤儿基因簇中有多少编码以前分离的分子。因此,为了有效地指导新分子的发现,我们必须首先从基因组中系统地去除新兴基因簇的孤儿状态。在这里,我们提供了我们所知的第一个针对 PK 和 NRP 家族的全面回溯生物合成程序,即广义回溯生物合成组装预测引擎 (GRAPE),并介绍了一种计算管道,即用于天然产物化学信息学的全局对齐 (GARLIC),以揭示观察到的生物合成基因簇与已知分子的关系,从而确定编码新分子的基因簇。

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