Discovering de novo peptide substrates for enzymes using machine learning

The discovery of peptide substrates for enzymes with exclusive, selective activities is a central goal in chemical biology. In this paper, we develop a hybrid computational and biochemical method to rapidly optimize peptides for specific, orthogonal biochemical functions. The method is an iterative...

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Bibliographic Details
Published in:	Nature communications Vol. 9; no. 1; pp. 5253 - 10
Main Authors:	Tallorin, Lorillee, Wang, JiaLei, Kim, Woojoo E., Sahu, Swagat, Kosa, Nicolas M., Yang, Pu, Thompson, Matthew, Gilson, Michael K., Frazier, Peter I., Burkart, Michael D., Gianneschi, Nathan C.
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 07.12.2018 Nature Publishing Group Nature Portfolio
Subjects:	49 49/75 631/114/1305 631/61 631/92 Algorithms Artificial intelligence Biochemistry Computer applications Enzymes Experimental data Humanities and Social Sciences Iterative methods Learning algorithms Machine learning multidisciplinary Organic chemistry Peptides Phage display Phages Proteins Random mutagenesis Science Science (multidisciplinary) Substrates
ISSN:	2041-1723, 2041-1723
Online Access:	Get full text
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