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Natural compounds as drugs

Overview of attention for book
Attention for Chapter 6: Virtual screening for the discovery of bioactive natural products.
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)

Mentioned by

blogs
1 blog
wikipedia
8 Wikipedia pages

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
266 Mendeley
citeulike
1 CiteULike
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Chapter title
Virtual screening for the discovery of bioactive natural products.
Chapter number 6
Book title
Natural Compounds as Drugs Volume I
Published in
Fortschritte der Arzneimittelforschung Progress in drug research Progrès des recherches pharmaceutiques, January 2008
DOI 10.1007/978-3-7643-8117-2_6
Pubmed ID
Book ISBNs
978-3-76-438098-4, 978-3-76-438117-2
Authors

Judith M. Rollinger, Hermann Stuppner, Thierry Langer, Rollinger, Judith M., Stuppner, Hermann, Langer, Thierry

Abstract

In this survey the impact of the virtual screening concept is discussed in the field of drug discovery from nature. Confronted by a steadily increasing number of secondary metabolites and a growing number of molecular targets relevant in the therapy of human disorders, the huge amount of information needs to be handled. Virtual screening filtering experiments already showed great promise for dealing with large libraries of potential bioactive molecules. It can be utilized for browsing databases for molecules fitting either an established pharmacophore model or a three dimensional (3D) structure of a macromolecular target. However, for the discovery of natural lead candidates the application of this in silico tool has so far almost been neglected. There are several reasons for that. One concerns the scarce availability of natural product (NP) 3D databases in contrast to synthetic libraries; another reason is the problematic compatibility of NPs with modern robotized high throughput screening (HTS) technologies. Further arguments deal with the incalculable availability of pure natural compounds and their often too complex chemistry. Thus research in this field is time-consuming, highly complex, expensive and ineffective. Nevertheless, naturally derived compounds are among the most favorable source of drug candidates. A more rational and economic search for new lead structures from nature must therefore be a priority in order to overcome these problems. Here we demonstrate some basic principles, requirements and limitations of virtual screening strategies and support their applicability in NP research with already performed studies. A sensible exploitation of the molecular diversity of secondary metabolites however asks for virtual screening concepts that are interfaced with well-established strategies from classical pharmacognosy that are used in an effort to maximize their efficacy in drug discovery. Such integrated virtual screening workflows are outlined here and shall help to motivate NP researchers to dare a step towards this powerful in silico tool.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 266 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 3 1%
India 2 <1%
Spain 2 <1%
Kenya 1 <1%
Australia 1 <1%
Brazil 1 <1%
Portugal 1 <1%
Egypt 1 <1%
Brunei Darussalam 1 <1%
Other 2 <1%
Unknown 251 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 19%
Student > Master 41 15%
Researcher 30 11%
Student > Bachelor 29 11%
Professor 11 4%
Other 47 18%
Unknown 57 21%
Readers by discipline Count As %
Chemistry 49 18%
Agricultural and Biological Sciences 42 16%
Biochemistry, Genetics and Molecular Biology 40 15%
Pharmacology, Toxicology and Pharmaceutical Science 26 10%
Medicine and Dentistry 13 5%
Other 27 10%
Unknown 69 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 January 2024.
All research outputs
#3,844,401
of 23,340,595 outputs
Outputs from Fortschritte der Arzneimittelforschung Progress in drug research Progrès des recherches pharmaceutiques
#5
of 33 outputs
Outputs of similar age
#17,945
of 158,166 outputs
Outputs of similar age from Fortschritte der Arzneimittelforschung Progress in drug research Progrès des recherches pharmaceutiques
#1
of 2 outputs
Altmetric has tracked 23,340,595 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 33 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one scored the same or higher as 28 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 158,166 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them