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Identification of novel allosteric inhibitors of mutant isocitrate dehydrogenase 1 by cross docking-based virtual screening

Overview of attention for article published in Bioorganic & Medicinal Chemistry Letters, December 2017
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23 Mendeley
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Article details
Title
Identification of novel allosteric inhibitors of mutant isocitrate dehydrogenase 1 by cross docking-based virtual screening
Published in
Bioorganic & Medicinal Chemistry Letters, December 2017
DOI 10.1016/j.bmcl.2017.12.030
Pubmed ID
Authors
Abstract

IDH1 mutation (mIDH1) occurs in 20-30% of gliomas and is a promising target for the cancer therapy. In this article, a cross docking-based virtual screening was employed to identify seven small molecules for the allosteric site of mIDH1. Compounds ZX01, ZX05 and ZX06 exhibited the potent inhibitory activity and the high selectivity against WT-IDH1, providing a good starting point for the further development of highly selective mIDH1 inhibitors. Importantly, the parallel artificial membrane permeation assay of the blood-brain barrier (PAMPA-BBB) identified ZX06 with a good ability to penetrate BBB. These findings indicate that ZX06 deserves further optimization as a lead compound for the treatment of patients with IDH1 mutated brain cancers.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 5 22%
Student > Doctoral Student 3 13%
Other 1 4%
Student > Master 1 4%
Researcher 1 4%
Other 1 4%
Unknown 11 48%
Readers by discipline
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 4 17%
Medicine and Dentistry 3 13%
Biochemistry, Genetics and Molecular Biology 2 9%
Neuroscience 1 4%
Chemistry 1 4%
Other 0 0%
Unknown 12 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 January 2018.
All research outputs
#16,725,651
of 25,382,440 outputs
Outputs from Bioorganic & Medicinal Chemistry Letters
#12,103
of 13,780 outputs
Outputs of similar age
#265,565
of 443,420 outputs
Outputs of similar age from Bioorganic & Medicinal Chemistry Letters
#48
of 80 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,780 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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 443,420 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.