Philip A. Romero

Duke University — United States

Biochemistry, Genetics and Molecular Biology · Life Sciences

23h-index3.8kcitations73works16.12yr avg
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Research Topics

RNA and protein synthesis mechanisms(13), Protein Structure and Dynamics(11), Microbial Metabolic Engineering and Bioproduction(11), Innovative Microfluidic and Catalytic Techniques Innovation(11), CRISPR and Genetic Engineering(10)

Publications73 total

AlphaFast: High-throughput AlphaFold 3 via GPU-accelerated MSA construction
2026Open Access
Democratizing protein language model training, sharing and collaboration
Nature Biotechnology·2025· 1 cited
Activation of Angiotensin-Converting Enzyme 2 Mitigates Gastrointestinal Acute Radiation Syndrome
International Journal of Radiation Oncology*Biology*Physics·2025Open Access
The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS)
arXiv (Cornell University)·2025Open Access
Biophysics-based protein language models for protein engineering
Nature Methods·2025· 14 citedOpen Access
Multiobjective learning and design of bacteriophage specificity
2025· 1 citedOpen Access
Functional alignment of protein language models via reinforcement learning
2025· 5 citedOpen Access
Scalable and cost-efficient custom gene library assembly from oligopools
2025· 6 citedOpen Access
Droplet microfluidic screening to engineer angiotensin-converting enzyme 2 (ACE2) catalytic activity
Journal of Biological Engineering·2025Open Access
Droplet microfluidic screening to engineer angiotensin-converting enzyme 2 (ACE2) catalytic activity
2024Open Access
Neural network extrapolation to distant regions of the protein fitness landscape
Nature Communications·2024· 34 citedOpen Access
Engineered lysins to modulate human gut microbiome communities
2024· 1 citedOpen Access
Biophysics-based protein language models for protein engineering
2024· 28 citedOpen Access
Multi-objective machine learning for designing enzyme cofactor specificity
Biophysical Journal·2024· 2 citedOpen Access
Self-driving laboratories to autonomously navigate the protein fitness landscape
Nature Chemical Engineering·2024· 150 citedOpen Access
Neural network extrapolation to distant regions of the protein fitness landscape
2023· 6 citedOpen Access
Correction to: Distributed out-of-memory NMF on CPU/GPU architectures
The Journal of Supercomputing·2023Open Access
Distributed out-of-memory NMF on CPU/GPU architectures
The Journal of Supercomputing·2023· 6 citedOpen Access
Self-driving laboratories to autonomously navigate the protein fitness landscape
2023· 12 citedOpen Access
Inferring protein fitness landscapes from laboratory evolution experiments
PLoS Computational Biology·2023· 18 citedOpen Access
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Frequent Co-authors

Frances H. Arnold(11), Pete Heinzelman(10), Sarah A. Fahlberg(8), Chase R. Freschlin(6), Sam Gelman(4), Anthony Gitter(4), Bennett J. Bremer(4), Ophelia S. Venturelli(4), Jonathan C. Greenhalgh(4), Mikhail G. Shapiro(3), Sonali Gupta(3), Brian F. Pfleger(3), Hyebin Song(3), Emily C. Hinds(3), Sameer D’Costa(3), Andreas Krause(2), Adam R. Abate(2), Alan Jasanoff(2), Stephan Eidenbenz(2), Ryan H. Hsu(2)