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Computational protein design with backbone plasticity
Author(s) -
James T. MacDonald,
Paul S. Freemont
Publication year - 2016
Publication title -
biochemical society transactions
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.562
H-Index - 144
eISSN - 1470-8752
pISSN - 0300-5127
DOI - 10.1042/bst20160155
Subject(s) - protein design , computer science , flexibility (engineering) , reuse , protein engineering , artificial intelligence , protein structure , engineering , chemistry , mathematics , enzyme , biochemistry , statistics , waste management
The computational algorithms used in the design of artificial proteins have become increasingly sophisticated in recent years, producing a series of remarkable successes. The most dramatic of these is the de novo design of artificial enzymes. The majority of these designs have reused naturally occurring protein structures as 'scaffolds' onto which novel functionality can be grafted without having to redesign the backbone structure. The incorporation of backbone flexibility into protein design is a much more computationally challenging problem due to the greatly increased search space, but promises to remove the limitations of reusing natural protein scaffolds. In this review, we outline the principles of computational protein design methods and discuss recent efforts to consider backbone plasticity in the design process.

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