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Philip A. Romero
Philip A. Romero
Biomedical Engineering, Duke University
Verified email at duke.edu - Homepage
Title
Cited by
Cited by
Year
Exploring protein fitness landscapes by directed evolution
PA Romero, FH Arnold
Nature reviews Molecular cell biology 10 (12), 866-876, 2009
13342009
Navigating the protein fitness landscape with Gaussian processes
PA Romero, A Krause, FH Arnold
Proceedings of the National Academy of Sciences 110 (3), E193-E201, 2013
4102013
Dissecting enzyme function with microfluidic-based deep mutational scanning
PA Romero, TM Tran, AR Abate
Proceedings of the National Academy of Sciences 112 (23), 7159-7164, 2015
2542015
Directed evolution of a magnetic resonance imaging contrast agent for noninvasive imaging of dopamine
MG Shapiro, GG Westmeyer, PA Romero, JO Szablowski, B Küster, ...
Nature biotechnology 28 (3), 264-270, 2010
2052010
Neutral genetic drift can alter promiscuous protein functions, potentially aiding functional evolution
JD Bloom, PA Romero, Z Lu, FH Arnold
Biology direct 2, 1-19, 2007
1962007
Neural networks to learn protein sequence–function relationships from deep mutational scanning data
S Gelman, SA Fahlberg, P Heinzelman, PA Romero, A Gitter
Proceedings of the National Academy of Sciences 118 (48), e2104878118, 2021
1342021
In vivo selection of a computationally designed SCHEMA AAV library yields a novel variant for infection of adult neural stem cells in the SVZ
DS Ojala, S Sun, JL Santiago-Ortiz, MG Shapiro, PA Romero, DV Schaffer
Molecular Therapy 26 (1), 304-319, 2018
1232018
Efficient screening of fungal cellobiohydrolase class I enzymes for thermostabilizing sequence blocks by SCHEMA structure-guided recombination
P Heinzelman, R Komor, A Kanaan, P Romero, X Yu, S Mohler, C Snow, ...
Protein Engineering, Design & Selection 23 (11), 871-880, 2010
1222010
Microbial interaction network inference in microfluidic droplets
RH Hsu, RL Clark, JW Tan, JC Ahn, S Gupta, PA Romero, OS Venturelli
Cell systems 9 (3), 229-242. e4, 2019
1122019
Investigating the dynamics of microbial consortia in spatially structured environments
S Gupta, TD Ross, MM Gomez, JL Grant, PA Romero, OS Venturelli
Nature communications 11 (1), 2418, 2020
862020
Machine learning-guided acyl-ACP reductase engineering for improved in vivo fatty alcohol production
JC Greenhalgh, SA Fahlberg, BF Pfleger, PA Romero
Nature communications 12 (1), 5825, 2021
852021
Highly thermostable fungal cellobiohydrolase I (Cel7A) engineered using predictive methods
RS Komor, PA Romero, CB Xie, FH Arnold
Protein Engineering, Design & Selection 25 (12), 827-833, 2012
822012
Machine learning to navigate fitness landscapes for protein engineering
CR Freschlin, SA Fahlberg, PA Romero
Current opinion in biotechnology 75, 102713, 2022
772022
SCHEMA-designed variants of human arginase I and II reveal sequence elements important to stability and catalysis
PA Romero, E Stone, C Lamb, L Chantranupong, A Krause, AE Miklos, ...
ACS synthetic biology 1 (6), 221-228, 2012
642012
Self-driving laboratories to autonomously navigate the protein fitness landscape
JT Rapp, BJ Bremer, PA Romero
Nature chemical engineering 1 (1), 97-107, 2024
592024
Flow focusing geometry generates droplets through a plug and squeeze mechanism
PA Romero, AR Abate
Lab on a Chip 12 (24), 5130-5132, 2012
582012
Inferring protein sequence-function relationships with large-scale positive-unlabeled learning
H Song, BJ Bremer, EC Hinds, G Raskutti, PA Romero
Cell systems 12 (1), 92-101. e8, 2021
562021
Chimeragenesis of distantly‐related proteins by noncontiguous recombination
MA Smith, PA Romero, T Wu, EM Brustad, FH Arnold
Protein science 22 (2), 231-238, 2013
372013
Microfluidic deep mutational scanning of the human executioner caspases reveals differences in structure and regulation
H Roychowdhury, PA Romero
Cell Death Discovery 8, 2022
232022
Efficient sampling of SCHEMA chimera families to identify useful sequence elements
P Heinzelman, PA Romero, FH Arnold
Methods in enzymology 523, 351-368, 2013
182013
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