Lucy J. Colwell

Google (United States) — United States

Biochemistry, Genetics and Molecular Biology · Life Sciences

36h-index9.6kcitations89works89.62yr avg
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Research Topics

Machine Learning in Bioinformatics(32), Protein Structure and Dynamics(30), RNA and protein synthesis mechanisms(23), Genomics and Phylogenetic Studies(15), Computational Drug Discovery Methods(14)

Publications89 total

Does Sequence Clustering Confound AlphaFold2?
Journal of Molecular Biology·2025Open Access
Engineering highly active nuclease enzymes with machine learning and high-throughput screening
Cell Systems·2025· 15 citedOpen Access
InterPro: the protein sequence classification resource in 2025
Nucleic Acids Research·2024· 642 citedOpen Access
The Pfam protein families database: embracing AI/ML
Nucleic Acids Research·2024· 178 citedOpen Access
How do you anticipate computational protein design will change biotechnology and therapeutic development?
Cell Systems·2024· 1 cited
Does sequence clustering confound AlphaFold2?
2024· 5 citedOpen Access
ProtEx: A Retrieval-Augmented Approach for Protein Function Prediction
2024· 7 citedOpen Access
Machine learning designs new GCGR/GLP-1R dual agonists with enhanced biological potency
Nature Chemistry·2024· 33 citedOpen Access
Engineering of highly active and diverse nuclease enzymes by combining machine learning and ultra-high-throughput screening
2024· 15 citedOpen Access
Investigation of protein family relationships with deep learning
Bioinformatics Advances·2024· 2 citedOpen Access
High-throughput ML-guided design of diverse single-domain antibodies against SARS-CoV-2
2023· 8 citedOpen Access
Predicting multiple conformations via sequence clustering and AlphaFold2
Nature·2023· 454 citedOpen Access
AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions
arXiv (Cornell University)·2023· 5 citedOpen Access
ProteInfer, deep neural networks for protein functional inference
eLife·2023· 166 citedOpen Access
Author response: ProteInfer, deep neural networks for protein functional inference
2023Open Access
Hallucinating functional protein sequences
Nature Biotechnology·2023· 1 cited
MGnify: the microbiome sequence data analysis resource in 2023
Nucleic Acids Research·2022· 400 citedOpen Access
InterPro in 2022
Nucleic Acids Research·2022· 2.5k citedOpen Access
Tuned Fitness Landscapes for Benchmarking Model-Guided Protein Design
2022· 8 citedOpen Access
Prediction of multiple conformational states by combining sequence clustering with AlphaFold2
2022· 79 citedOpen Access
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Frequent Co-authors

Maxwell L. Bileschi(9), David Belanger(8), Michael P. Brenner(6), Alex Bateman(5), David Belanger(5), Theo Sanderson(5), David Dohan(5), Drew Bryant(4), Andreea Gane(4), Typhaine Paysan‐Lafosse(3), Matthias Blum(3), Sara Chuguransky(3), Tiago Grego(3), Beatriz Lázaro(3), Gustavo A Salazar(3), Alan Bridge(3), Aron Marchler‐Bauer(3), Darren A. Natale(3), Paul D. Thomas(3), Silvio C. E. Tosatto(3)