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Motif mediated protein-protein interactions as drug targets

Overview of attention for article published in Cell Communication and Signaling, March 2016
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Title
Motif mediated protein-protein interactions as drug targets
Published in
Cell Communication and Signaling, March 2016
DOI 10.1186/s12964-016-0131-4
Pubmed ID
Authors

Carles Corbi-Verge, Philip M. Kim

Abstract

Protein-protein interactions (PPI) are involved in virtually every cellular process and thus represent an attractive target for therapeutic interventions. A significant number of protein interactions are frequently formed between globular domains and short linear peptide motifs (DMI). Targeting these DMIs has proven challenging and classical approaches to inhibiting such interactions with small molecules have had limited success. However, recent new approaches have led to the discovery of potent inhibitors, some of them, such as Obatoclax, ABT-199, AEG-40826 and SAH-p53-8 are likely to become approved drugs. These novel inhibitors belong to a wide range of different molecule classes, ranging from small molecules to peptidomimetics and biologicals. This article reviews the main reasons for limited success in targeting PPIs, discusses how successful approaches overcome these obstacles to discovery promising inhibitors for human protein double minute 2 (HDM2), B-cell lymphoma 2 (Bcl-2), X-linked inhibitor of apoptosis protein (XIAP), and provides a summary of the promising approaches currently in development that indicate the future potential of PPI inhibitors in drug discovery.

X Demographics

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Denmark 1 <1%
United States 1 <1%
Unknown 176 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 28%
Researcher 37 20%
Student > Master 17 9%
Student > Bachelor 13 7%
Professor 10 6%
Other 27 15%
Unknown 27 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 52 29%
Chemistry 36 20%
Agricultural and Biological Sciences 33 18%
Pharmacology, Toxicology and Pharmaceutical Science 8 4%
Immunology and Microbiology 4 2%
Other 20 11%
Unknown 28 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 08 March 2016.
All research outputs
#18,445,779
of 22,854,458 outputs
Outputs from Cell Communication and Signaling
#769
of 993 outputs
Outputs of similar age
#216,891
of 298,622 outputs
Outputs of similar age from Cell Communication and Signaling
#1
of 1 outputs
Altmetric has tracked 22,854,458 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 993 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
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