Philip A. Romero, Ph.D.

Affiliations: 
2012 Biochemistry and Molecular Biophysics California Institute of Technology, Pasadena, CA 
Area:
Protein engineering, directed protein evolution, structure-guided protein recombination, biocatalysis, biofuels
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"Philip Romero"
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Parents

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Frances H. Arnold grad student 2012 Caltech
 (Statistical Models of the Protein Fitness Landscape: Applications to Protein Evolution and Engineering.)
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Publications

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D'Costa S, Hinds EC, Freschlin CR, et al. (2023) Inferring protein fitness landscapes from laboratory evolution experiments. Plos Computational Biology. 19: e1010956
Song H, Bremer BJ, Hinds EC, et al. (2020) Inferring Protein Sequence-Function Relationships with Large-Scale Positive-Unlabeled Learning. Cell Systems
Ojala DS, Sun S, Santiago-Ortiz JL, et al. (2017) In Vivo Selection of a Computationally Designed SCHEMA AAV Library Yields a Novel Variant for Infection of Adult Neural Stem Cells in the SVZ. Molecular Therapy : the Journal of the American Society of Gene Therapy
Romero PA, Tran TM, Abate AR. (2015) Dissecting enzyme function with microfluidic-based deep mutational scanning. Proceedings of the National Academy of Sciences of the United States of America. 112: 7159-64
Romero PA, Shapiro MG, Arnold FH, et al. (2013) Directed evolution of protein-based neurotransmitter sensors for MRI. Methods in Molecular Biology (Clifton, N.J.). 995: 193-205
Heinzelman P, Romero PA, Arnold FH. (2013) Efficient sampling of SCHEMA chimera families to identify useful sequence elements. Methods in Enzymology. 523: 351-68
Romero PA, Krause A, Arnold FH. (2013) Navigating the protein fitness landscape with Gaussian processes. Proceedings of the National Academy of Sciences of the United States of America. 110: E193-201
Smith MA, Romero PA, Wu T, et al. (2013) Chimeragenesis of distantly-related proteins by noncontiguous recombination. Protein Science : a Publication of the Protein Society. 22: 231-8
Romero PA, Arnold FH. (2012) Random field model reveals structure of the protein recombinational landscape. Plos Computational Biology. 8: e1002713
Komor RS, Romero PA, Xie CB, et al. (2012) Highly thermostable fungal cellobiohydrolase I (Cel7A) engineered using predictive methods. Protein Engineering, Design & Selection : Peds. 25: 827-33
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