Literature DB >> 30010333

Characterization of the Chemical Space of Known and Readily Obtainable Natural Products.

Ya Chen1, Marina Garcia de Lomana1, Nils-Ole Friedrich1, Johannes Kirchmair1.   

Abstract

Natural products remain one of the most productive sources of chemical inspiration for the development of new drugs. The structures of more than 250 000 natural products are available from public databases. At least 10% of these compounds are readily obtainable for experimental testing from commercial vendors and public research institutions. While the physicochemical properties of known natural products have been thoroughly studied and compared to those of drugs and other types of small molecules, the information available on the content, coverage, and relevance of individual virtual and physical natural product libraries is clearly limited. The aim of this study was the development of a detailed understanding of the coverage of chemical space by known and readily obtainable natural products and by individual natural product databases. For this purpose, we compiled comprehensive data sets of known and readily obtainable natural products from 18 virtual databases (including the Dictionary of Natural Products), nine physical libraries, and the Protein Data Bank (PDB). We also developed and employed an algorithm ("SugarBuster") for the removal of sugars and sugar-like moieties, which are generally not in the focus of interest for drug discovery, from natural products. In addition, we devised a rule-based approach for the automated classification of natural products into natural product classes (alkaloids, steroids, flavonoids, etc.). Among the most important results of this study is the finding that the readily obtainable natural products are highly diverse and populate regions of chemical space that are of high relevance to drug discovery. In some cases, substantial differences in the coverage of natural product classes and chemical space by the individual databases are observed. More than 2000 natural products are identified for which at least one X-ray crystal structure of the compound in complex with a biomacromolecule is available from the PDB.

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Year:  2018        PMID: 30010333     DOI: 10.1021/acs.jcim.8b00302

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  17 in total

Review 1.  Modeling Pharmacokinetic Natural Product-Drug Interactions for Decision-Making: A NaPDI Center Recommended Approach.

Authors:  Emily J Cox; Dan-Dan Tian; John D Clarke; Allan E Rettie; Jashvant D Unadkat; Kenneth E Thummel; Jeannine S McCune; Mary F Paine
Journal:  Pharmacol Rev       Date:  2021-04       Impact factor: 25.468

2.  Structure and Biosynthesis of Myxofacyclines: Unique Myxobacterial Polyketides Featuring Varing and Rare Heterocycles[] *.

Authors:  Alexander Popoff; Joachim J Hug; Sebastian Walesch; Ronald Garcia; Lena Keller; Rolf Müller
Journal:  Chemistry       Date:  2021-11-05       Impact factor: 5.020

3.  BIOFACQUIM: A Mexican Compound Database of Natural Products.

Authors:  B Angélica Pilón-Jiménez; Fernanda I Saldívar-González; Bárbara I Díaz-Eufracio; José L Medina-Franco
Journal:  Biomolecules       Date:  2019-01-17

4.  Generation of a Small Library of Natural Products Designed to Cover Chemical Space Inexpensively.

Authors:  Steve O'Hagan; Douglas B Kell
Journal:  Pharm Front       Date:  2019-08-09

5.  Associating 197 Chinese herbal medicine with drug targets and diseases using the similarity ensemble approach.

Authors:  Shuo Gu; Lu-Hua Lai
Journal:  Acta Pharmacol Sin       Date:  2019-09-17       Impact factor: 6.150

6.  Structural Similarities between Some Common Fluorophores Used in Biology, Marketed Drugs, Endogenous Metabolites, and Natural Products.

Authors:  Steve O'Hagan; Douglas B Kell
Journal:  Mar Drugs       Date:  2020-11-23       Impact factor: 5.118

7.  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

8.  Functional group and diversity analysis of BIOFACQUIM: A Mexican natural product database.

Authors:  Norberto Sánchez-Cruz; B Angélica Pilón-Jiménez; José L Medina-Franco
Journal:  F1000Res       Date:  2019-12-10

9.  Fragment Library of Natural Products and Compound Databases for Drug Discovery.

Authors:  Ana L Chávez-Hernández; Norberto Sánchez-Cruz; José L Medina-Franco
Journal:  Biomolecules       Date:  2020-11-06

10.  StreptomeDB 3.0: an updated compendium of streptomycetes natural products.

Authors:  Aurélien F A Moumbock; Mingjie Gao; Ammar Qaseem; Jianyu Li; Pascal A Kirchner; Bakoh Ndingkokhar; Boris D Bekono; Conrad V Simoben; Smith B Babiaka; Yvette I Malange; Florian Sauter; Paul Zierep; Fidele Ntie-Kang; Stefan Günther
Journal:  Nucleic Acids Res       Date:  2021-01-08       Impact factor: 16.971

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