About this Research Topic
A central objective within this domain is the prediction of protein function based on sequence and/or structural data. This prediction can be achieved through a variety of computational methods, such as machine learning, deep learning, and molecular dynamics simulations. These approaches allow researchers to decipher the evolutionary data of proteins and apply this knowledge to design novel proteins with specific, tailored functions, finding application in vital areas like drug development and biotechnology.
This Research Topic is an invitation to researchers to share their valuable insights and contributions to the understanding of evolutionary data for protein function and engineering. We eagerly await manuscripts that delve into this critical facet of the protein sciences.
Keywords: Machine learning, Protein evolution, Protein structure, Protein function annotation, Protein engineering, Protein biophysics, Protein chemistry
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.