| Literature DB >> 27061494 |
Lior Rosenfeld1, Michael Heyne2, Julia M Shifman3, Niv Papo4.
Abstract
Two alternative strategies are commonly used to study protein-protein interactions (PPIs) and to engineer protein-based inhibitors. In one approach, binders are selected experimentally from combinatorial libraries of protein mutants that are displayed on a cell surface. In the other approach, computational modeling is used to explore an astronomically large number of protein sequences to select a small number of sequences for experimental testing. While both approaches have some limitations, their combination produces superior results in various protein engineering applications. Such applications include the design of novel binders and inhibitors, the enhancement of affinity and specificity, and the mapping of binding epitopes. The combination of these approaches also aids in the understanding of the specificity profiles of various PPIs.Keywords: binding affinity; combinatorial selection; computational protein design; novel binding domains; protein engineering; protein–protein interactions
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Year: 2016 PMID: 27061494 DOI: 10.1016/j.tibs.2016.03.002
Source DB: PubMed Journal: Trends Biochem Sci ISSN: 0968-0004 Impact factor: 13.807