Evidence map›Paper›PMID 30547433›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2019

Methods for Discovering and Targeting Druggable Protein-Protein Interfaces and Their Application to Repurposing.

E Sila Ozdemir, Farideh Halakou, Ruth Nussinov, Attila Gursoy, Ozlem Keskin

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2019. 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. Review
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  7. Article
  8. Mapping the binding sites of challenging drug targets.Current opinion in structural biology · 2022
    Review
  9. Article
  10. Review
  11. Article
  12. Drug Repurposing for Triple-Negative Breast Cancer.Journal of personalized medicine · 2020
    Review
  13. Article
  14. Review
  15. Review
  16. Current Challenges and Opportunities in Designing Protein-Protein Interaction Targeted Drugs.Advances and applications in bioinformatics and chemistry : AABC · 2020
    Review
  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

5 authors.

E Sila OzdemirDepartment of Chemical and Biological Engineering, Koc University, Istanbul, Turkey.
Farideh HalakouDepartment of Computer Engineering, Koc University, Istanbul, Turkey.
Ruth NussinovCancer and Inflammation Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, National Cancer Institute at Frederick, Frederick, MD, USA.
Attila GursoyDepartment of Computer Engineering, Koc University, Istanbul, Turkey. agursoy@ku.edu.tr.
Ozlem KeskinDepartment of Chemical and Biological Engineering, Koc University, Istanbul, Turkey. okeskin@ku.edu.tr.

Funding

Protein Structure, Stability, and Amyloid FormationZIABC010440 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI NUSSINOV, RUTH · 2009 to 2025
$11.8M
Method Development: Efficient Computer Vision Based AlgorithmsZIABC010442 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI NUSSINOV, RUTH · 2009 to 2025
$2.4M
CCR NIH HHS HHSN261200800001CIntramural NIH HHS ZIA BC010442NCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

Drug repurposing is a creative and resourceful approach to increase the number of therapies by exploiting available and approved drugs. However, identifying new protein targets for previously approved drugs is challenging. Although new strategies have been developed for drug repurposing, there is broad agreement that there is room for further improvements. In this chapter, we review protein-protein interaction (PPI) interface-targeting strategies for drug repurposing applications. We discuss certain features, such as hot spot residue and hot region prediction and their importance in drug repurposing, and illustrate common methods used in PPI networks to identify drug off-targets. We also collect available online resources for hot spot prediction, binding pocket identification, and interface clustering which are effective resources in polypharmacology. Finally, we provide case studies showing the significance of protein interfaces and hot spots in drug repurposing.

Indexed as

Computational BiologyDrug RepositioningProtein Interaction MappingDatabases, ProteinDrug DiscoveryLigandsModels, MolecularMolecular ConformationProtein BindingProtein Interaction MapsProteinsStructure-Activity RelationshipLigandsProteinsHot regionsHot spotsInterface motifsNetwork-based approachesProtein interface clustering

Identifiers

PMID30547433
PMCPMC8185533

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Registered trials

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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.