Cited by 1,250Computational Drug Discovery MethodsBioactive natural compoundsChemical Synthesis and Analysis

Counting on natural products for drug design

Rodrigues, Tiago, Reker, Daniel, Schneider, Petra, Schneider, Gisbert·2016·Nature Chemistry

Abstract

Natural products and their molecular frameworks have a long tradition as valuable starting points for medicinal chemistry and drug discovery. Recently, there has been a revitalization of interest in the inclusion of these chemotypes in compound collections for screening and achieving selective target modulation. Here we discuss natural-product-inspired drug discovery with a focus on recent advances in the design of synthetically tractable small molecules that mimic nature's chemistry. We highlight the potential of innovative computational tools in processing structurally complex natural products to predict their macromolecular targets and attempt to forecast the role that natural-product-derived fragments and fragment-like natural products will play in next-generation drug discovery.

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Crossref · 10.1038/nchem.2479

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Authors
Rodrigues, T., Reker, D., Schneider, P., & Schneider, G.
Affiliations
ETH Zurich (CH)
Corresponding author
Schneider, Gisbert
Venue
Nature Chemistry
Published
2016-04-25
Volume
8
Issue
6
Pages
531-541
ISSN
  • 1755-4330 (ISSN-L)
  • 1755-4349
OpenAlex
W2345198528
Cited by
1,250
References
142
Citations by year
2026: 84 · 2025: 129 · 2024: 136 · 2023: 131 · 2022: 166 · 2021: 150 · 2020: 135 · 2019: 120 · 2018: 90 · 2017: 77 · 2016: 30
FWCI
8.19
Type
journal article
Language
en
Open access
closed
Locations
  • Nature Chemistry (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioactive natural compounds
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chemical Synthesis and Analysis
Keywords
natural products, natural product-inspired drug design, fragment-based drug discovery, privileged scaffolds, machine learning, target prediction, synthetic accessibility, molecular fragments, chemotypes, drug selectivity
MeSH terms
Rosuvastatin Calcium, Biological Products, Chemistry, Pharmaceutical, Drug Design, Molecular Structure, Macromolecular Substances, Drug Discovery

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