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CPORT: A Consensus Interface Predictor and Its Performance in Prediction-Driven Docking with HADDOCK

Overview of attention for article published in PLOS ONE, March 2011
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Title
CPORT: A Consensus Interface Predictor and Its Performance in Prediction-Driven Docking with HADDOCK
Published in
PLOS ONE, March 2011
DOI 10.1371/journal.pone.0017695
Pubmed ID
Authors

Sjoerd J. de Vries, Alexandre M. J. J. Bonvin

Abstract

Macromolecular complexes are the molecular machines of the cell. Knowledge at the atomic level is essential to understand and influence their function. However, their number is huge and a significant fraction is extremely difficult to study using classical structural methods such as NMR and X-ray crystallography. Therefore, the importance of large-scale computational approaches in structural biology is evident. This study combines two of these computational approaches, interface prediction and docking, to obtain atomic-level structures of protein-protein complexes, starting from their unbound components.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 292 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Germany 1 <1%
France 1 <1%
Ireland 1 <1%
Italy 1 <1%
Australia 1 <1%
United Kingdom 1 <1%
Japan 1 <1%
United States 1 <1%
Other 0 0%
Unknown 283 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 53 18%
Student > Bachelor 51 17%
Researcher 39 13%
Student > Master 36 12%
Student > Doctoral Student 14 5%
Other 39 13%
Unknown 60 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 97 33%
Agricultural and Biological Sciences 66 23%
Chemistry 14 5%
Pharmacology, Toxicology and Pharmaceutical Science 8 3%
Computer Science 7 2%
Other 30 10%
Unknown 70 24%