Evidence map›Paper›PMID 28662117›Full record

ArticlePLoS computational biology2017

Detecting similar binding pockets to enable systems polypharmacology.

Miquel Duran-Frigola, Lydia Siragusa, Eytan Ruppin, Xavier Barril, Gabriele Cruciani, Patrick Aloy

Abstract read
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
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  5. Low Molecular Weight Inhibitors Targeting the RNA-Binding Protein HuR.International journal of molecular sciences · 2023
    Article
  6. Article
  7. Review
  8. Article
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  11. Review
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  15. Extended Multitarget Pharmacology of Anticancer Drugs.Journal of chemical information and modeling · 2019
    Article
  16. Article
  17. Article
  18. Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Miquel Duran-FrigolaJoint IRB-BSC-CRG Program in Computational Biology, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Catalonia, Spain.
Lydia SiragusaMolecular Discovery Limited, London, United Kingdom.
Eytan RuppinDepartment of Computer Science & Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, United States of America.
Xavier BarrilDepartament de Fisicoquímica, Facultat de Farmàcia, Universitat de Barcelona, Barcelona, Catalonia, Spain.ORCID http://orcid.org/0000-0002-0281-1347
Gabriele CrucianiMolecular Discovery Limited, London, United Kingdom.
Patrick AloyJoint IRB-BSC-CRG Program in Computational Biology, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Catalonia, Spain.ORCID http://orcid.org/0000-0002-3557-0236

Funding

European Research Council 614944
6 · The paper itself

Abstract

In the era of systems biology, multi-target pharmacological strategies hold promise for tackling disease-related networks. In this regard, drug promiscuity may be leveraged to interfere with multiple receptors: the so-called polypharmacology of drugs can be anticipated by analyzing the similarity of binding sites across the proteome. Here, we perform a pairwise comparison of 90,000 putative binding pockets detected in 3,700 proteins, and find that 23,000 pairs of proteins have at least one similar cavity that could, in principle, accommodate similar ligands. By inspecting these pairs, we demonstrate how the detection of similar binding sites expands the space of opportunities for the rational design of drug polypharmacology. Finally, we illustrate how to leverage these opportunities in protein-protein interaction networks related to several therapeutic classes and tumor types, and in a genome-scale metabolic model of leukemia.

Indexed as

Molecular Docking SimulationPolypharmacologyProtein Interaction MappingSequence Analysis, ProteinAntineoplastic AgentsBinding SitesDrug DiscoveryHumansNeoplasm ProteinsPolypharmacyProtein BindingProtein ConformationProtein Interaction Domains and MotifsSystems BiologyAntineoplastic AgentsNeoplasm Proteins

Identifiers

PMID28662117
PMCPMC5490940

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.