↓ Skip to main content

PLOS

Druggable Protein Interaction Sites Are More Predisposed to Surface Pocket Formation than the Rest of the Protein Surface

Overview of attention for article published in PLoS Computational Biology, March 2013
Altmetric Badge

Mentioned by

blogs
1 blog
facebook
1 Facebook page
f1000
1 research highlight platform

Readers on

mendeley
142 Mendeley
citeulike
7 CiteULike
Title
Druggable Protein Interaction Sites Are More Predisposed to Surface Pocket Formation than the Rest of the Protein Surface
Published in
PLoS Computational Biology, March 2013
DOI 10.1371/journal.pcbi.1002951
Pubmed ID
Authors

David K. Johnson, John Karanicolas

Abstract

Despite intense interest and considerable effort via high-throughput screening, there are few examples of small molecules that directly inhibit protein-protein interactions. This suggests that many protein interaction surfaces may not be intrinsically "druggable" by small molecules, and elevates in importance the few successful examples as model systems for improving our fundamental understanding of druggability. Here we describe an approach for exploring protein fluctuations enriched in conformations containing surface pockets suitable for small molecule binding. Starting from a set of seven unbound protein structures, we find that the presence of low-energy pocket-containing conformations is indeed a signature of druggable protein interaction sites and that analogous surface pockets are not formed elsewhere on the protein. We further find that ensembles of conformations generated with this biased approach structurally resemble known inhibitor-bound structures more closely than equivalent ensembles of unbiased conformations. Collectively these results suggest that "druggability" is a property encoded on a protein surface through its propensity to form pockets, and inspire a model in which the crude features of the predisposed pocket(s) restrict the range of complementary ligands; additional smaller conformational changes then respond to details of a particular ligand. We anticipate that the insights described here will prove useful in selecting protein targets for therapeutic intervention.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
Germany 2 1%
United States 2 1%
Ireland 1 <1%
India 1 <1%
Canada 1 <1%
France 1 <1%
Spain 1 <1%
Russia 1 <1%
Other 0 0%
Unknown 129 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 29%
Researcher 39 27%
Student > Master 12 8%
Student > Bachelor 10 7%
Professor 8 6%
Other 18 13%
Unknown 14 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 36 25%
Agricultural and Biological Sciences 34 24%
Chemistry 28 20%
Computer Science 11 8%
Pharmacology, Toxicology and Pharmaceutical Science 6 4%
Other 13 9%
Unknown 14 10%