Computational Protein Design Under a Given Backbone Structure with the ABACUS Statistical Energy Function

Author(s):  
Peng Xiong ◽  
Quan Chen ◽  
Haiyan Liu
2016 ◽  
Vol 44 (5) ◽  
pp. 1523-1529 ◽  
Author(s):  
James T. MacDonald ◽  
Paul S. Freemont

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.


2016 ◽  
Vol 12 (8) ◽  
pp. 4146-4168 ◽  
Author(s):  
Christopher M. Topham ◽  
Sophie Barbe ◽  
Isabelle André

2014 ◽  
Vol 35 (18) ◽  
pp. 1371-1387 ◽  
Author(s):  
Thomas Gaillard ◽  
Thomas Simonson

2016 ◽  
Vol 23 (9) ◽  
pp. 737-749 ◽  
Author(s):  
Yuchao Pan ◽  
Yuxi Dong ◽  
Jingtian Zhou ◽  
Mark Hallen ◽  
Bruce R. Donald ◽  
...  

Structure ◽  
2015 ◽  
Vol 23 (1) ◽  
pp. 206-215 ◽  
Author(s):  
Sylvain Lanouette ◽  
James A. Davey ◽  
Fred Elisma ◽  
Zhibin Ning ◽  
Daniel Figeys ◽  
...  

2005 ◽  
Vol 9 (6) ◽  
pp. 622-626 ◽  
Author(s):  
Christina L Vizcarra ◽  
Stephen L Mayo

2011 ◽  
Vol 5 (1-2) ◽  
pp. 45-58 ◽  
Author(s):  
Doris J. Glykys ◽  
Géza R. Szilvay ◽  
Pablo Tortosa ◽  
María Suárez Diez ◽  
Alfonso Jaramillo ◽  
...  

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