Philip A Romero

Summary

Affiliation: California Institute of Technology
Country: USA

Publications

  1. pmc Exploring protein fitness landscapes by directed evolution
    Philip A Romero
    Division of Chemistry and Chemical Engineering, 21041, California Institute of Technology, Pasadena, California 91125, USA
    Nat Rev Mol Cell Biol 10:866-76. 2009
  2. doi request reprint Directed evolution of protein-based neurotransmitter sensors for MRI
    Philip A Romero
    Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA
    Methods Mol Biol 995:193-205. 2013
  3. pmc Navigating the protein fitness landscape with Gaussian processes
    Philip A Romero
    Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
    Proc Natl Acad Sci U S A 110:E193-201. 2013
  4. pmc SCHEMA-designed variants of human Arginase I and II reveal sequence elements important to stability and catalysis
    Philip A Romero
    Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
    ACS Synth Biol 1:221-8. 2012
  5. doi request reprint Highly thermostable fungal cellobiohydrolase I (Cel7A) engineered using predictive methods
    Russell S Komor
    Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
    Protein Eng Des Sel 25:827-33. 2012
  6. pmc Random field model reveals structure of the protein recombinational landscape
    Philip A Romero
    Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California, United States of America
    PLoS Comput Biol 8:e1002713. 2012
  7. pmc Chimeragenesis of distantly-related proteins by noncontiguous recombination
    Matthew A Smith
    Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, USA
    Protein Sci 22:231-8. 2013

Collaborators

Detail Information

Publications7

  1. pmc Exploring protein fitness landscapes by directed evolution
    Philip A Romero
    Division of Chemistry and Chemical Engineering, 21041, California Institute of Technology, Pasadena, California 91125, USA
    Nat Rev Mol Cell Biol 10:866-76. 2009
    ..Directed evolution has also shown how mutations that are functionally neutral can set the stage for further adaptation...
  2. doi request reprint Directed evolution of protein-based neurotransmitter sensors for MRI
    Philip A Romero
    Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA
    Methods Mol Biol 995:193-205. 2013
    ..The directed evolution method involves successive cycles of mutagenesis and screening that could be generalized to produce contrast agents sensitive to a variety of molecular targets in the nervous system...
  3. pmc Navigating the protein fitness landscape with Gaussian processes
    Philip A Romero
    Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
    Proc Natl Acad Sci U S A 110:E193-201. 2013
    ..These algorithms allowed us to engineer active P450 enzymes that are more thermostable than any previously made by chimeragenesis, rational design, or directed evolution...
  4. pmc SCHEMA-designed variants of human Arginase I and II reveal sequence elements important to stability and catalysis
    Philip A Romero
    Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
    ACS Synth Biol 1:221-8. 2012
    ..This approach revealed a striking correlation between the isoelectric point and the long-term stability of the enzyme to deactivation under physiological conditions...
  5. doi request reprint Highly thermostable fungal cellobiohydrolase I (Cel7A) engineered using predictive methods
    Russell S Komor
    Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
    Protein Eng Des Sel 25:827-33. 2012
    ..emersonii CBH I...
  6. pmc Random field model reveals structure of the protein recombinational landscape
    Philip A Romero
    Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California, United States of America
    PLoS Comput Biol 8:e1002713. 2012
    ..Intragenic recombination explores a unique subset of sequence space that promotes rapid molecular diversification and functional adaptation...
  7. pmc Chimeragenesis of distantly-related proteins by noncontiguous recombination
    Matthew A Smith
    Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, USA
    Protein Sci 22:231-8. 2013
    ..This simple method, which does not rely on detailed atomic models, can be used to design chimeras that take structural, and functional, elements from distantly-related proteins...