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pro vyhledávání: '"Sam Gelman"'
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Significance Understanding the relationship between protein sequence and function is necessary to design new and useful proteins with applications in bioenergy, medicine, and agriculture. The mapping from sequence to function is tremendously complex
The mapping from protein sequence to function is highly complex, making it challenging to predict how sequence changes will affect a protein’s behavior and properties. We present a supervised deep learning framework to learn the sequence-function m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9104454f48960dd4441fc3025ee60609
https://doi.org/10.1101/2020.10.25.353946
https://doi.org/10.1101/2020.10.25.353946