Statistical Models of the Protein Fitness Landscape: Applications to Protein Evolution and Engineering

Statistical Models of the Protein Fitness Landscape: Applications to Protein Evolution and Engineering

<p>Understanding the protein fitness landscape is important for describing how natural proteins evolve and for engineering new proteins with useful properties. This mapping from protein sequence to protein function involves an extraordinarily complex balance of numerous physical interactions,...

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Bibliographic Details
Main Author: Romero, Philip Anthony
Format: Others
Published: 2012
Online Access:https://thesis.library.caltech.edu/6852/1/Romero_dissertation.pdf
Romero, Philip Anthony (2012) Statistical Models of the Protein Fitness Landscape: Applications to Protein Evolution and Engineering. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/7W9R-Y338. https://resolver.caltech.edu/CaltechTHESIS:03172012-160452929 <https://resolver.caltech.edu/CaltechTHESIS:03172012-160452929>

Internet

https://thesis.library.caltech.edu/6852/1/Romero_dissertation.pdf
Romero, Philip Anthony (2012) Statistical Models of the Protein Fitness Landscape: Applications to Protein Evolution and Engineering. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/7W9R-Y338. https://resolver.caltech.edu/CaltechTHESIS:03172012-160452929 <https://resolver.caltech.edu/CaltechTHESIS:03172012-160452929>

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