iCFN: an efficient exact algorithm for multistate protein design

Author:

Karimi Mostafa1,Shen Yang1

Affiliation:

1. Department of Electrical and Computer Engineering and TEES-AgriLife Center for Bioinformatics and Genomic Systems Engineering, Texas A&M University, College Station, USA

Funder

National Science Foundation

National Institute of General Medical Sciences

National Institutes of Health

Texas A&M AgriLife

Plant Bioinformatics Graduate Training Program

Texas A&M High Performance Research Computing

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference59 articles.

1. Computational protein design as a cost function network optimization problem;Allouche,2012

2. Computational protein design as an optimization problem;Allouche;Artif. Intell.,2014

3. Computational design of a single amino acid sequence that can switch between two distinct protein folds;Ambroggio;J. Am. Chem. Soc.,2006

4. Accurate design of megadalton-scale two-component icosahedral protein complexes;Bale;Science,2016

5. Virtual arc consistency for weighted CSP;Cooper,2008

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