Literature DB >> 27111835

From Complex Natural Products to Simple Synthetic Mimetics by Computational De Novo Design.

Lukas Friedrich1, Tiago Rodrigues1, Claudia S Neuhaus1, Petra Schneider1,2, Gisbert Schneider3.   

Abstract

We present the computational de novo design of synthetically accessible chemical entities that mimic the complex sesquiterpene natural product (-)-Englerin A. We synthesized lead-like probes from commercially available building blocks and profiled them for activity against a computationally predicted panel of macromolecular targets. Both the design template (-)-Englerin A and its low-molecular weight mimetics presented nanomolar binding affinities and antagonized the transient receptor potential calcium channel TRPM8 in a cell-based assay, without showing target promiscuity or frequent-hitter properties. This proof-of-concept study outlines an expeditious solution to obtaining natural-product-inspired chemical matter with desirable properties.
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  chemical biology; computer-assisted drug design; drug discovery; organic synthesis; polypharmacology

Year:  2016        PMID: 27111835     DOI: 10.1002/anie.201601941

Source DB:  PubMed          Journal:  Angew Chem Int Ed Engl        ISSN: 1433-7851            Impact factor:   15.336


  6 in total

Review 1.  Automating drug discovery.

Authors:  Gisbert Schneider
Journal:  Nat Rev Drug Discov       Date:  2017-12-15       Impact factor: 84.694

Review 2.  Englerins: A Comprehensive Review.

Authors:  Zhenhua Wu; Senzhi Zhao; David M Fash; Zhenwu Li; William J Chain; John A Beutler
Journal:  J Nat Prod       Date:  2017-02-07       Impact factor: 4.050

3.  Unveiling (-)-Englerin A as a Modulator of L-Type Calcium Channels.

Authors:  Tiago Rodrigues; Florian Sieglitz; Víctor J Somovilla; Pedro M S D Cal; Antony Galione; Francisco Corzana; Gonçalo J L Bernardes
Journal:  Angew Chem Int Ed Engl       Date:  2016-07-08       Impact factor: 15.336

Review 4.  Natural product drug discovery in the artificial intelligence era.

Authors:  F I Saldívar-González; V D Aldas-Bulos; J L Medina-Franco; F Plisson
Journal:  Chem Sci       Date:  2021-12-13       Impact factor: 9.825

5.  NP-Scout: Machine Learning Approach for the Quantification and Visualization of the Natural Product-Likeness of Small Molecules.

Authors:  Ya Chen; Conrad Stork; Steffen Hirte; Johannes Kirchmair
Journal:  Biomolecules       Date:  2019-01-24

6.  Learning from Nature: From a Marine Natural Product to Synthetic Cyclooxygenase-1 Inhibitors by Automated De Novo Design.

Authors:  Lukas Friedrich; Gino Cingolani; Ying-Hui Ko; Mariaclara Iaselli; Morena Miciaccia; Maria Grazia Perrone; Konstantin Neukirch; Veronika Bobinger; Daniel Merk; Robert Klaus Hofstetter; Oliver Werz; Andreas Koeberle; Antonio Scilimati; Gisbert Schneider
Journal:  Adv Sci (Weinh)       Date:  2021-06-27       Impact factor: 16.806

  6 in total

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