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Philip A. Romero
Philip A. Romero
Biomedical Engineering, Duke University
Bestätigte E-Mail-Adresse bei duke.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Exploring protein fitness landscapes by directed evolution
PA Romero, FH Arnold
Nature reviews Molecular cell biology 10 (12), 866-876, 2009
13732009
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
4342013
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
2602015
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
2082010
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
2012007
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
1452021
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
1252018
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
1232010
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
1202019
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
942021
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
942020
Machine learning to navigate fitness landscapes for protein engineering
CR Freschlin, SA Fahlberg, PA Romero
Current opinion in biotechnology 75, 102713, 2022
862022
Self-driving laboratories to autonomously navigate the protein fitness landscape
JT Rapp, BJ Bremer, PA Romero
Nature chemical engineering 1 (1), 97-107, 2024
842024
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
842012
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
672012
Flow focusing geometry generates droplets through a plug and squeeze mechanism
PA Romero, AR Abate
Lab on a Chip 12 (24), 5130-5132, 2012
602012
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
402013
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
Neural network extrapolation to distant regions of the protein fitness landscape
CR Freschlin, SA Fahlberg, P Heinzelman, PA Romero
Nature Communications 15 (1), 6405, 2024
20*2024
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