Literature DB >> 18416307

Cheminformatics analysis of natural products: lessons from nature inspiring the design of new drugs.

Peter Ertl1, Ansgar Schuffenhauer.   

Abstract

Natural products (NPs) have evolved over a very long natural selection process to form optimal interactions with biological macromolecules. NPs are therefore an extremely useful source of inspiration for the design of new drugs. In the present study we report the results of a cheminformatics analysis of more than 130,000 NP structures. The physicochemical properties of NPs and their typical structural features are compared to those of bioactive molecules and average organic molecules. The relationship between the structure of NPs and the type of organism from which they have come has also been analyzed. The aim of this study was to identify those properties and structural features which are typical for NPs and discriminate this class of molecules from common synthetic molecules, with the ultimate goal being to provide a guide for the design of novel NP-like bioactive structures. Hopefully the results of this analysis help to eliminate the old myth about NPs as being 'too complex' or having 'bad properties', as well as help us to focus on these areas of NP structural space which are essential for biological activity, taking advantage of the process of natural selection over billions of years to guide us to new and as yet unexplored areas of the Chemical Structure Universe.

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Year:  2008        PMID: 18416307     DOI: 10.1007/978-3-7643-8595-8_4

Source DB:  PubMed          Journal:  Prog Drug Res        ISSN: 0071-786X


  12 in total

1.  Small molecules of different origins have distinct distributions of structural complexity that correlate with protein-binding profiles.

Authors:  Paul A Clemons; Nicole E Bodycombe; Hyman A Carrinski; J Anthony Wilson; Alykhan F Shamji; Bridget K Wagner; Angela N Koehler; Stuart L Schreiber
Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-18       Impact factor: 11.205

2.  Novel chemical space exploration via natural products.

Authors:  Josefin Rosén; Johan Gottfries; Sorel Muresan; Anders Backlund; Tudor I Oprea
Journal:  J Med Chem       Date:  2009-04-09       Impact factor: 7.446

3.  Quantifying structure and performance diversity for sets of small molecules comprising small-molecule screening collections.

Authors:  Paul A Clemons; J Anthony Wilson; Vlado Dančík; Sandrine Muller; Hyman A Carrinski; Bridget K Wagner; Angela N Koehler; Stuart L Schreiber
Journal:  Proc Natl Acad Sci U S A       Date:  2011-04-11       Impact factor: 11.205

4.  Oxygen-containing fragments in natural products.

Authors:  Zoya Titarenko; Natalya Vasilevich; Vladimir Zernov; Michael Kirpichenok; Dmitry Genis
Journal:  J Comput Aided Mol Des       Date:  2012-12-28       Impact factor: 3.686

5.  Reinvigorating natural product combinatorial biosynthesis with synthetic biology.

Authors:  Eunji Kim; Bradley S Moore; Yeo Joon Yoon
Journal:  Nat Chem Biol       Date:  2015-09       Impact factor: 15.040

6.  Conformationally Constrained Penta(hetero)cyclic Molecular Architectures via Photoassisted Diversity-Oriented Synthesis.

Authors:  Weston J Umstead; Olga A Mukhina; Dr Andrei G Kutateladze
Journal:  European J Org Chem       Date:  2015-04-01

7.  Cheminformatic comparison of approved drugs from natural product versus synthetic origins.

Authors:  Christopher F Stratton; David J Newman; Derek S Tan
Journal:  Bioorg Med Chem Lett       Date:  2015-07-14       Impact factor: 2.823

8.  Clustered distribution of natural product leads of drugs in the chemical space as influenced by the privileged target-sites.

Authors:  Lin Tao; Feng Zhu; Chu Qin; Cheng Zhang; Shangying Chen; Peng Zhang; Cunlong Zhang; Chunyan Tan; Chunmei Gao; Zhe Chen; Yuyang Jiang; Yu Zong Chen
Journal:  Sci Rep       Date:  2015-03-20       Impact factor: 4.379

9.  Gallic Acid Content and an Antioxidant Mechanism Are Responsible for the Antiproliferative Activity of 'Ataulfo' Mango Peel on LS180 Cells.

Authors:  Gustavo R Velderrain-Rodríguez; Heriberto Torres-Moreno; Mónica A Villegas-Ochoa; J Fernando Ayala-Zavala; Ramón E Robles-Zepeda; Abraham Wall-Medrano; Gustavo A González-Aguilar
Journal:  Molecules       Date:  2018-03-19       Impact factor: 4.411

10.  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
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