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Opportunities for developing therapies for rare genetic diseases: focus on gain-of-function and allostery

Overview of attention for article published in Orphanet Journal of Rare Diseases, April 2017
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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1 news outlet
blogs
1 blog
policy
1 policy source
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3 X users
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1 YouTube creator

Citations

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25 Dimensions

Readers on

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81 Mendeley
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1 CiteULike
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Title
Opportunities for developing therapies for rare genetic diseases: focus on gain-of-function and allostery
Published in
Orphanet Journal of Rare Diseases, April 2017
DOI 10.1186/s13023-017-0614-4
Pubmed ID
Authors

Binbin Chen, Russ B. Altman

Abstract

Advances in next generation sequencing technologies have revolutionized our ability to discover the causes of rare genetic diseases. However, developing treatments for these diseases remains challenging. In fact, when we systematically analyze the US FDA orphan drug list, we find that only 8% of rare diseases have an FDA-designated drug. Our approach leverages three primary insights: first, diseases with gain-of-function mutations and late onset are more likely to have drug options; second, drugs are more often inhibitors than activators; and third, some disease-causing proteins can be rescued by allosteric activators in diseases due to loss-of-function mutations. We have developed a pipeline that combines natural language processing and human curation to mine promising targets for drug development from the Online Mendelian Inheritance in Man (OMIM) database. This pipeline targets diseases caused by well-characterized gain-of-function mutations or loss-of-function proteins with known allosteric activators. Applying this pipeline across thousands of rare genetic diseases, we discover 34 rare genetic diseases that are promising candidates for drug development. Our analysis has revealed uneven coverage of rare diseases in the current US FDA orphan drug space. Diseases with gain-of-function mutations or loss-of-function mutations and known allosteric activators should be prioritized for drug treatments.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 25%
Student > Ph. D. Student 14 17%
Student > Bachelor 8 10%
Other 6 7%
Student > Master 4 5%
Other 9 11%
Unknown 20 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 22%
Agricultural and Biological Sciences 9 11%
Medicine and Dentistry 8 10%
Pharmacology, Toxicology and Pharmaceutical Science 4 5%
Engineering 3 4%
Other 11 14%
Unknown 28 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 19 December 2021.
All research outputs
#1,592,055
of 22,721,584 outputs
Outputs from Orphanet Journal of Rare Diseases
#157
of 2,604 outputs
Outputs of similar age
#33,515
of 309,390 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#9
of 57 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,604 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has done particularly well, scoring higher than 93% of its peers.
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 309,390 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 89% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.