Exploring protein fitness landscapes by directed evolution PA Romero, FH Arnold Nature reviews Molecular cell biology 10 (12), 866-876, 2009 | 1271 | 2009 |
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 | 387 | 2013 |
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 | 247 | 2015 |
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 | 197 | 2010 |
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 | 192 | 2007 |
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 | 121 | 2010 |
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 | 112 | 2018 |
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 | 111 | 2021 |
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 | 102 | 2019 |
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 | 81 | 2012 |
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 | 78 | 2020 |
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 | 70 | 2021 |
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 | 62 | 2012 |
Machine learning to navigate fitness landscapes for protein engineering CR Freschlin, SA Fahlberg, PA Romero Current opinion in biotechnology 75, 102713, 2022 | 57 | 2022 |
Flow focusing geometry generates droplets through a plug and squeeze mechanism PA Romero, AR Abate Lab on a Chip 12 (24), 5130-5132, 2012 | 55 | 2012 |
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 | 50 | 2021 |
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 | 37 | 2013 |
Self-driving laboratories to autonomously navigate the protein fitness landscape JT Rapp, BJ Bremer, PA Romero Nature chemical engineering 1 (1), 97-107, 2024 | 23 | 2024 |
Microfluidic deep mutational scanning of the human executioner caspases reveals differences in structure and regulation H Roychowdhury, PA Romero Cell Death Discovery 8, 2022 | 20 | 2022 |
Efficient sampling of SCHEMA chimera families to identify useful sequence elements P Heinzelman, PA Romero, FH Arnold Methods in enzymology 523, 351-368, 2013 | 18 | 2013 |