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Prepaying the entropic cost for allosteric regulation in KIX

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, July 2014
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  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

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Citations

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106 Mendeley
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Title
Prepaying the entropic cost for allosteric regulation in KIX
Published in
Proceedings of the National Academy of Sciences of the United States of America, July 2014
DOI 10.1073/pnas.1405831111
Pubmed ID
Authors

Sean M. Law, Jessica K. Gagnon, Anna K. Mapp, Charles L. Brooks

Abstract

The kinase-inducible domain interacting (KIX) domain of the CREB binding protein (CBP) is capable of simultaneously binding two intrinsically disordered transcription factors, such as the mixed-lineage leukemia (MLL) and c-Myb peptides, at isolated interaction sites. In vitro, the affinity for binding c-Myb is approximately doubled when KIX is in complex with MLL, which suggests a positive cooperative binding mechanism, and the affinity for MLL is also slightly increased when KIX is first bound by c-Myb. Expanding the scope of recent NMR and computational studies, we explore the allosteric mechanism at a detailed molecular level that directly connects the microscopic structural dynamics to the macroscopic shift in binding affinities. To this end, we have performed molecular dynamics simulations of free KIX, KIX-c-Myb, MLL-KIX, and MLL-KIX-c-Myb using a topology-based Gō-like model. Our results capture an increase in affinity for the peptide in the allosteric site when KIX is prebound by a complementary effector and both peptides follow an effector-independent folding-and-binding mechanism. More importantly, we discover that MLL binding lowers the entropic cost for c-Myb binding, and vice versa, by stabilizing the L12-G2 loop and the C-terminal region of the α3 helix on KIX. This work demonstrates the importance of entropy in allosteric signaling between promiscuous molecular recognition sites and can inform the rational design of small molecule stabilizers to target important regions of conformationally dynamic proteins.

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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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Russia 1 <1%
Switzerland 1 <1%
Unknown 102 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 37%
Researcher 24 23%
Student > Bachelor 9 8%
Other 7 7%
Student > Master 6 6%
Other 13 12%
Unknown 8 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 30 28%
Agricultural and Biological Sciences 29 27%
Chemistry 25 24%
Physics and Astronomy 6 6%
Chemical Engineering 3 3%
Other 5 5%
Unknown 8 8%
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 05 September 2014.
All research outputs
#14,127,266
of 24,625,114 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#86,705
of 101,438 outputs
Outputs of similar age
#108,336
of 230,821 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#678
of 903 outputs
Altmetric has tracked 24,625,114 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 101,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one is in the 14th percentile – i.e., 14% 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 230,821 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 903 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.