Philip A Romero

ORCID

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 23

Top Venues

Nature communications

bioRxiv : the preprint server for biology

PLoS computational biology

Nature chemical engineering

University of Wisconsin--Madison

California Institute of Technology (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

University of Wisconsin--Madison Jul 15 2016

United States

Assistant professor :: Biochemistry

University of California Los Angeles Jul 01 2015 - Jul 15 2016

United States

Assistant professor :: Department of Chemical and Biomolecular Engineering

University of California San Francisco Feb 01 2012 - Jul 01 2015

United States

Postdoctoral fellow :: Department of Bioengineering and Therapeutic Sciences

Education History

California Institute of Technology Sep 01 2005 - Dec 15 2011

United States

PHD :: Biochemistry and Molecular Biophysics

Tulane University Aug 16 2004 - May 14 2005

United States

MSC :: Cell and Molecular Biology

Publications

Sam Gelman, Bryce Johnson, Chase R Freschlin, Sameer D'Costa, Anthony Gitter, Philip A Romero
Biophysics-based protein language models for protein engineering. bioRxiv : the preprint server for biology (2024)
Sam Gelman, Bryce Johnson, Chase R Freschlin, Sameer D'Costa, Anthony Gitter, Philip A Romero
Biophysics-based protein language models for protein engineering. bioRxiv : the preprint server for biology (2024)
Sam Gelman, Bryce Johnson, Chase R Freschlin, Sameer D'Costa, Anthony Gitter, Philip A Romero
Biophysics-based protein language models for protein engineering. bioRxiv : the preprint server for biology (2024)
Chase R Freschlin, Sarah A Fahlberg, Pete Heinzelman, Philip A Romero
Neural network extrapolation to distant regions of the protein fitness landscape. Nature communications 15 (1) (2024)
Jacob T Rapp, Bennett J Bremer, Philip A Romero
Self-driving laboratories to autonomously navigate the protein fitness landscape. Nature chemical engineering 1 (1) (2024)
Jacob T Rapp, Bennett J Bremer, Philip A Romero
Self-driving laboratories to autonomously navigate the protein fitness landscape. Nature chemical engineering 1 (1) (2024)
Jacob T Rapp, Bennett J Bremer, Philip A Romero
Self-driving laboratories to autonomously navigate the protein fitness landscape. Nature chemical engineering 1 (1) (2024)
Chase R Freschlin, Sarah A Fahlberg, Pete Heinzelman, Philip A Romero
Neural network extrapolation to distant regions of the protein fitness landscape. Nature communications 15 (1) (2024)
Chase R Freschlin, Sarah A Fahlberg, Pete Heinzelman, Philip A Romero
Neural network extrapolation to distant regions of the protein fitness landscape. Nature communications 15 (1) (2024)
Chase R Freschlin, Sarah A Fahlberg, Pete Heinzelman, Philip A Romero
Neural network extrapolation to distant regions of the protein fitness landscape. Nature communications 15 (1) (2024)
Sarah A Fahlberg, Chase R Freschlin, Pete Heinzelman, Philip A Romero
Neural network extrapolation to distant regions of the protein fitness landscape. bioRxiv : the preprint server for biology (2023)
Sameer D'Costa, Emily C Hinds, Chase R Freschlin, Hyebin Song, Philip A Romero
Inferring protein fitness landscapes from laboratory evolution experiments. PLoS computational biology 19 (3) (2023)
Sameer D'Costa, Emily C Hinds, Chase R Freschlin, Hyebin Song, Philip A Romero
Inferring protein fitness landscapes from laboratory evolution experiments. PLoS computational biology 19 (3) (2023)
Sameer D'Costa, Emily C Hinds, Chase R Freschlin, Hyebin Song, Philip A Romero
Inferring protein fitness landscapes from laboratory evolution experiments. PLoS computational biology 19 (3) (2023)
Sameer D'Costa, Emily C Hinds, Chase R Freschlin, Hyebin Song, Philip A Romero
Inferring protein fitness landscapes from laboratory evolution experiments. PLoS computational biology 19 (3) (2023)
Hridindu Roychowdhury, Philip A Romero
Correction to: Microfluidic deep mutational scanning of the human executioner caspases reveals differences in structure and regulation. Cell death discovery 8 (1) (2022)
Sam Gelman, Sarah A Fahlberg, Pete Heinzelman, Philip A Romero, Anthony Gitter
Neural networks to learn protein sequence-function relationships from deep mutational scanning data. Proceedings of the National Academy of Sciences of the United States of America 118 (48) (2022)
Hridindu Roychowdhury, Philip A Romero
Microfluidic deep mutational scanning of the human executioner caspases reveals differences in structure and regulation. Cell death discovery 8 (1) (2022)
Pete Heinzelman, Jonathan C Greenhalgh, Philip A Romero
Yeast surface display-based identification of ACE2 mutations that modulate SARS-CoV-2 spike binding across multiple mammalian species. Protein engineering, design & selection : PEDS 35 (2022)
Pete Heinzelman, Philip A Romero
Identification of ACE2 mutations that modulate SARS-CoV-2 spike binding across multiple mammalian species. bioRxiv : the preprint server for biology (2021)
Pete Heinzelman, Philip A Romero
Discovery of human ACE2 variants with altered recognition by the SARS-CoV-2 spike protein. PloS one 16 (5) (2021)
Leland B Hyman, Clare R Christopher, Philip A Romero
Single-cell nucleic acid profiling in droplets (SNAPD) enables high-throughput analysis of heterogeneous cell populations. Nucleic acids research 49 (18) (2021)
Jonathan C Greenhalgh, Sarah A Fahlberg, Brian F Pfleger, Philip A Romero
Machine learning-guided acyl-ACP reductase engineering for improved in vivo fatty alcohol production. Nature communications 12 (1) (2021)

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Publication Activity (10 Years)

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Philip A Romero