Journal
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
Volume 81, Issue 12, Pages 2221-2228Publisher
WILEY
DOI: 10.1002/prot.24405
Keywords
protein interaction; binding prediction; mutagenesis; machine learning; heparin binding
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Funding
- National Science Foundation CDI Program [CMMI-0941013]
- US Department of Energy Genomics [DE-FG02-04ER25627]
- Direct For Mathematical & Physical Scien
- Division Of Mathematical Sciences [1160360] Funding Source: National Science Foundation
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We describe methods and results for four new types of challenge in the Critical Assessment of PRedicted Interactions (CAPRI). Two new challenges asked predictors to create models related to protein interface design. The first of these was to distinguish binding interfaces from designed nonbinding interfaces. The second was to predict the effects of all single-point mutations on hemagglutinin binding to two small designed proteins. Two additional challenges asked predictors to submit high-resolution structures for interface-bound crystallographic waters and for binding heparin to a putative glycosylase. Proteins 2013; 81:2221-2228. (c) 2013 Wiley Periodicals, Inc.
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