Abstract
Natural products have been exposed to a long selection process to interact with biological targets and are therefore a valuable source for ideas for novel chemical entities in drug development. However, the process to determine activities of natural products is mainly based on serendipity, and can thus become time- and cost-intensive. In this review we present strategies on how modern in-silico molecular modeling techniques can be used to make this process more efficient and discuss how to discover and optimize drug candidates inspired by nature. Focusing on 3D pharmacophore modeling techniques, we provide an overview of virtual screening and modeling methods, review available in silico databases as sources for chemical structures of natural products, discuss techniques for biological activity profiling, and summarize recent success stories for the combination of in-silico approaches and pharmacognosy.
Keywords: Pharmacophore modeling, virtual screening, natural products, natural product databases, parallel screening
Current Pharmaceutical Design
Title: Identification of Bioactive Natural Products by Pharmacophore-Based Virtual Screening
Volume: 16 Issue: 15
Author(s): Daniela Schuster and Gerhard Wolber
Affiliation:
Keywords: Pharmacophore modeling, virtual screening, natural products, natural product databases, parallel screening
Abstract: Natural products have been exposed to a long selection process to interact with biological targets and are therefore a valuable source for ideas for novel chemical entities in drug development. However, the process to determine activities of natural products is mainly based on serendipity, and can thus become time- and cost-intensive. In this review we present strategies on how modern in-silico molecular modeling techniques can be used to make this process more efficient and discuss how to discover and optimize drug candidates inspired by nature. Focusing on 3D pharmacophore modeling techniques, we provide an overview of virtual screening and modeling methods, review available in silico databases as sources for chemical structures of natural products, discuss techniques for biological activity profiling, and summarize recent success stories for the combination of in-silico approaches and pharmacognosy.
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Cite this article as:
Schuster Daniela and Wolber Gerhard, Identification of Bioactive Natural Products by Pharmacophore-Based Virtual Screening, Current Pharmaceutical Design 2010; 16 (15) . https://dx.doi.org/10.2174/138161210791164072
DOI https://dx.doi.org/10.2174/138161210791164072 |
Print ISSN 1381-6128 |
Publisher Name Bentham Science Publisher |
Online ISSN 1873-4286 |
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