Literature DB >> 27966952

Total Synthesis and Biological Evaluation of Hybrubin A.

Daniel E Jeffries1, Craig W Lindsley1,2.   

Abstract

Here, we report the first total synthesis of hybrubin A, a bipyrrole tetramic acid alkaloid representing a new carbon framework derived from convergent (truncated red cluster and exogenous hbn cluster) biosynthetic pathways. A highly convergent synthesis was developed, employing 4-methoxy-1,5-dihydro-2H-pyrrol-2-one (13) as a single starting material to provide hybrubin A in three steps from 13 and 20.8% overall yield. As no biological activity was prescribed to hybrubin A except for a lack of cytotoxicity, we further profiled this unique alkaloid across panels of discrete molecular targets. Interestingly, hybrubin A was found to be a ligand for a variety of GPCRs with a propensity for potent binding across therapeutically relevant adenosine receptors (A1, A2a, and A3) as well as a potent activity at a kinase, FLT3. This pattern of biological activity is distinct from other related prodigiosin natural and unnatural products and is even more intriguing in the absence of cytotoxicity.

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Year:  2016        PMID: 27966952     DOI: 10.1021/acs.joc.6b02534

Source DB:  PubMed          Journal:  J Org Chem        ISSN: 0022-3263            Impact factor:   4.354


  3 in total

1.  RedH and PigC Catalyze the Biosynthesis of Hybrubins via Phosphorylation of 4'-Methoxy-2,2'-Bipyrrole-5'-Carbaldehyde.

Authors:  Qingshan Long; Daniel E Jeffries; Shuangjun Lin; Xuefei Chen; Weijun He; Yemin Wang; Zixin Deng; Craig W Lindsley; Meifeng Tao
Journal:  Appl Environ Microbiol       Date:  2020-01-07       Impact factor: 4.792

2.  Total Synthesis of Hinduchelins A-D, Stereochemical Revision of Hinduchelin A, and Biological Evaluation of Natural and Unnatural Analogues.

Authors:  Elizabeth S Childress; Aaron T Garrison; Jessica R Sheldon; Eric P Skaar; Craig W Lindsley
Journal:  J Org Chem       Date:  2019-05-08       Impact factor: 4.354

3.  Classification models and SAR analysis on CysLT1 receptor antagonists using machine learning algorithms.

Authors:  Hongzhao Wang; Zijian Qin; Aixia Yan
Journal:  Mol Divers       Date:  2021-02-03       Impact factor: 3.364

  3 in total

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