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Philip A. Romero
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Exploring protein fitness landscapes by directed evolution
PA Romero, FH Arnold
Nature reviews Molecular cell biology 10 (12), 866-876, 2009
12432009
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
3622013
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
2382015
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
1932010
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
1902007
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
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
1082018
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
982021
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
972019
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
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
712020
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
622012
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
582021
Flow focusing geometry generates droplets through a plug and squeeze mechanism
PA Romero, AR Abate
Lab on a Chip 12 (24), 5130-5132, 2012
572012
Machine learning to navigate fitness landscapes for protein engineering
CR Freschlin, SA Fahlberg, PA Romero
Current opinion in biotechnology 75, 102713, 2022
532022
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
432021
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
362013
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
Microfluidic deep mutational scanning of the human executioner caspases reveals differences in structure and regulation
H Roychowdhury, PA Romero
Cell Death Discovery 8, 2022
172022
Active and machine learning-based approaches to rapidly enhance microbial chemical production
P Kumar, PA Adamczyk, X Zhang, RB Andrade, PA Romero, ...
Metabolic Engineering 67, 216-226, 2021
142021
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