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Drug Discovery Using Chemical Systems Biology: Weak Inhibition of Multiple Kinases May Contribute to the Anti-Cancer Effect of Nelfinavir

Overview of attention for article published in PLoS Computational Biology, April 2011
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Citations

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209 Mendeley
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Title
Drug Discovery Using Chemical Systems Biology: Weak Inhibition of Multiple Kinases May Contribute to the Anti-Cancer Effect of Nelfinavir
Published in
PLoS Computational Biology, April 2011
DOI 10.1371/journal.pcbi.1002037
Pubmed ID
Authors

Li Xie, Thomas Evangelidis, Lei Xie, Philip E. Bourne

Abstract

Nelfinavir is a potent HIV-protease inhibitor with pleiotropic effects in cancer cells. Experimental studies connect its anti-cancer effects to the suppression of the Akt signaling pathway, but the actual molecular targets remain unknown. Using a structural proteome-wide off-target pipeline, which integrates molecular dynamics simulation and MM/GBSA free energy calculations with ligand binding site comparison and biological network analysis, we identified putative human off-targets of Nelfinavir and analyzed the impact on the associated biological processes. Our results suggest that Nelfinavir is able to inhibit multiple members of the protein kinase-like superfamily, which are involved in the regulation of cellular processes vital for carcinogenesis and metastasis. The computational predictions are supported by kinase activity assays and are consistent with existing experimental and clinical evidence. This finding provides a molecular basis to explain the broad-spectrum anti-cancer effect of Nelfinavir and presents opportunities to optimize the drug as a targeted polypharmacology agent.

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 209 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 6%
United Kingdom 4 2%
Spain 3 1%
Italy 1 <1%
Israel 1 <1%
France 1 <1%
Canada 1 <1%
China 1 <1%
Colombia 1 <1%
Other 4 2%
Unknown 180 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 66 32%
Student > Ph. D. Student 40 19%
Student > Master 19 9%
Student > Bachelor 12 6%
Professor > Associate Professor 11 5%
Other 43 21%
Unknown 18 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 71 34%
Chemistry 29 14%
Biochemistry, Genetics and Molecular Biology 23 11%
Computer Science 18 9%
Medicine and Dentistry 10 5%
Other 31 15%
Unknown 27 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 July 2012.
All research outputs
#15,002,384
of 25,809,966 outputs
Outputs from PLoS Computational Biology
#6,194
of 9,025 outputs
Outputs of similar age
#91,137
of 123,739 outputs
Outputs of similar age from PLoS Computational Biology
#38
of 57 outputs
Altmetric has tracked 25,809,966 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,025 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 29th percentile – i.e., 29% 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 123,739 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
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 is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.