Inside Back Cover: Co‐Evolutionary Fitness Landscapes for Sequence Design (Angew. Chem. Int. Ed. 20/2018) | Zendy

Tian Pengfei | Zendy; Louis John M. | Zendy; Baber James L. | Zendy; Aniana Annie | Zendy; Best Robert B. | Zendy

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Inside Back Cover: Co‐Evolutionary Fitness Landscapes for Sequence Design (Angew. Chem. Int. Ed. 20/2018)

Author(s) -

Tian Pengfei,

Louis John M.,

Baber James L.,

Aniana Annie,

Best Robert B.

Publication year - 2018

Publication title -

angewandte chemie international edition

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 5.831

H-Index - 550

eISSN - 1521-3773

pISSN - 1433-7851

DOI - 10.1002/anie.201803004

Subject(s) - cover (algebra) , fitness landscape , sequence (biology) , series (stratigraphy) , evolutionary algorithm , computational biology , computer science , evolutionary biology , biology , genetics , artificial intelligence , engineering , sociology , paleontology , mechanical engineering , population , demography

Evolutionary information about structural and functional constraints on proteins can be mined from genome sequences. In their Communication on page 5674 ff., R. B. Best and co‐workers report a series of stable and functional sequences for three different protein folds that is created by applying a protein co‐evolutionary fitness landscape. Co‐evolutionary information extracted by direct coupling analysis can be an effective guide for rational protein engineering. Graphic credit: Catherine Hefferan.

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