Editorial: machine learning, epistasis, and protein engineering: from sequence-structure-function relationships to regulation of metabolic pathways

HIGHLIGHTS

  • who: . et al. from the University of Parma, Italy have published the paper: Editorial: Machine learning, epistasis, and protein engineering: From sequence-structure-function relationships to regulation of metabolic pathways, in the Journal: (JOURNAL)
  • what: The aim of this Research Topic is to give an overview of recent advances and to discuss the current understanding of epistatic phenomena.
  • how: This work is very important because self-cleaving ribozymes can be used to engineer control of gene_expression thanks to their capacity to alter RNA processing and stability. The remaining authors declare that the research . . .

     

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