EDITORIAL
Published on 02 Dec 2022
Editorial: Machine learning, epistasis, and protein engineering: From sequence-structure-function relationships to regulation of metabolic pathways
doi 10.3389/fmolb.2022.1098289
- 2,737 views
- 1 citation
- Frontiers in Molecular Biosciences
- Protein Biochemistry for Basic and Applied Sciences
- Research Topics
- Machine Learning, Epistasis and Protein Engineering: From sequence-structure-function relationships to regulation of metabolic pathways
Machine Learning, Epistasis and Protein Engineering: From sequence-structure-function relationships to regulation of metabolic pathways
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Published in
Frontiers in Molecular Biosciences
Protein Biochemistry for Basic and Applied Sciences
Biological Modeling and Simulation
Participating Journals
Frontiers in Microbiology
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- 7.7 citescore