Genetic Algorithm Based Design and Experimental Characterization of a Highly Thermostable Metalloprotein.

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Bibliographic Details
Title: Genetic Algorithm Based Design and Experimental Characterization of a Highly Thermostable Metalloprotein.
Authors: Bozkurt E; Laboratory of Computational Chemistry and Biochemistry , École Polytechnique Fédérale de Lausanne , CH-1015 Lausanne , Switzerland., Perez MAS; Laboratory of Computational Chemistry and Biochemistry , École Polytechnique Fédérale de Lausanne , CH-1015 Lausanne , Switzerland., Hovius R; Laboratory of Protein Engineering , École Polytechnique Fédérale de Lausanne , CH-1015 Lausanne , Switzerland., Browning NJ; Laboratory of Computational Chemistry and Biochemistry , École Polytechnique Fédérale de Lausanne , CH-1015 Lausanne , Switzerland., Rothlisberger U; Laboratory of Computational Chemistry and Biochemistry , École Polytechnique Fédérale de Lausanne , CH-1015 Lausanne , Switzerland.
Source: Journal of the American Chemical Society [J Am Chem Soc] 2018 Apr 04; Vol. 140 (13), pp. 4517-4521. Date of Electronic Publication: 2018 Mar 26.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: American Chemical Society Country of Publication: United States NLM ID: 7503056 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-5126 (Electronic) Linking ISSN: 00027863 NLM ISO Abbreviation: J Am Chem Soc Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1520-5126
DOI:10.1021/jacs.7b10660