Computational design of ligand-binding proteins with high affinity and selectivity

Christine E. Tinberg, Sagar D. Khare, Jiayi Dou, Lindsey Doyle, Jorgen W. Nelson, Alberto Schena, Wojciech Jankowski, Charalampos G. Kalodimos, Kai Johnsson, Barry L. Stoddard and David Baker ()
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Christine E. Tinberg: University of Washington
Sagar D. Khare: University of Washington
Jiayi Dou: University of Washington
Lindsey Doyle: Fred Hutchinson Cancer Research Center
Jorgen W. Nelson: University of Washington
Alberto Schena: Ecole Polytechnique Fédérale de Lausanne, Institute of Chemical Sciences and Engineering, Institute of Bioengineering, National Centre of Competence in Research (NCCR) in Chemical Biology, 1015 Lausanne, Switzerland
Wojciech Jankowski: Center for Integrative Proteomics Research, Rutgers University
Charalampos G. Kalodimos: Center for Integrative Proteomics Research, Rutgers University
Kai Johnsson: Ecole Polytechnique Fédérale de Lausanne, Institute of Chemical Sciences and Engineering, Institute of Bioengineering, National Centre of Competence in Research (NCCR) in Chemical Biology, 1015 Lausanne, Switzerland
Barry L. Stoddard: Fred Hutchinson Cancer Research Center
David Baker: University of Washington

Nature, 2013, vol. 501, issue 7466, 212-216

Abstract: Computational protein design is used to create a protein that binds the steroid digoxigenin (DIG) with high affinity and selectivity; the computational design methods described here should help to enable the development of a new generation of small molecule receptors for synthetic biology, diagnostics and therapeutics.

Date: 2013
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DOI: 10.1038/nature12443

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