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ORCIDLucy J. Colwell
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- affiliation: University of Cambridge, Departmenf of Chemistry, UK
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2020 – today
- 2023
[j9]Typhaine Paysan-Lafosse
, Matthias Blum, Sara Chuguransky, Tiago Grego, Beatriz Lázaro Pinto, Gustavo A. Salazar, Maxwell L. Bileschi, Peer Bork, Alan J. Bridge, Lucy J. Colwell, Julian Gough, Daniel H. Haft, Ivica Letunic, Aron Marchler-Bauer, Huaiyu Mi, Darren A. Natale, Christine A. Orengo, Arun Prasad Pandurangan, Catherine Rivoire, Christian J. A. Sigrist, Ian Sillitoe, Narmada Thanki, Paul D. Thomas, Silvio C. E. Tosatto, Cathy H. Wu, Alex Bateman:
InterPro in 2022. Nucleic Acids Res. 51(D1): 418-427 (2023)- [j8]Lorna J. Richardson, Ben Allen, Germana Baldi, Martin Beracochea, Maxwell L. Bileschi, Tony Burdett, Josephine Burgin, Juan Caballero, Guy Cochrane, Lucy J. Colwell, Tom Curtis, Alejandra Escobar-Zepeda, Tatiana A. Gurbich, Varsha Kale, Anton I. Korobeynikov, Shriya Raj, Alexander B. Rogers, Ekaterina A. Sakharova, Santiago Sanchez, Darren J. Wilkinson, Robert D. Finn:
MGnify: the microbiome sequence data analysis resource in 2023. Nucleic Acids Res. 51(D1): 753-759 (2023) - [c6]Hirofumi Tsuruta, Hiroyuki Yamazaki, Ryota Maeda, Ryotaro Tamura, Jennifer N. Wei, Zelda E. Mariet, Poomarin Phloyphisut, Hidetoshi Shimokawa, Joseph R. Ledsam, Lucy J. Colwell, Akihiro Imura:
AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions. NeurIPS 2023 - [i8]Hirofumi Tsuruta, Hiroyuki Yamazaki, Ryota Maeda, Ryotaro Tamura, Jennifer N. Wei, Zelda Mariet, Poomarin Phloyphisut, Hidetoshi Shimokawa, Joseph R. Ledsam, Lucy J. Colwell, Akihiro Imura:
AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions. CoRR abs/2306.03329 (2023) - 2022
- [j7]Valérie de Crécy-Lagard, Rocio Amorin de Hegedus, Cecilia N. Arighi, Jill Babor, Alex Bateman, Ian Blaby, Crysten Blaby-Haas, Alan J. Bridge, Stephen K. Burley, Stacey Cleveland, Lucy J. Colwell, Ana Conesa, Christian Dallago, Antoine Danchin, Anita de Waard, Adam Deutschbauer, Raquel Dias, Yousong Ding, Gang Fang, Iddo Friedberg, John Gerlt, Joshua Goldford, Mark Gorelik, Benjamin M. Gyori, Christopher S. Henry, Geoffrey Hutinet, Marshall Jaroch, Peter D. Karp, Liudmyla Kondratova, Zhiyong Lu, Aron Marchler-Bauer, Maria Jesus Martin, Claire D. McWhite, Gaurav D. Moghe, Paul Monaghan, Anne Morgat, Christopher J. Mungall, Darren A. Natale, William C. Nelson, Seán I. O'Donoghue, Christine A. Orengo, Katherine H. O'Toole, Predrag Radivojac, Colbie Reed, Richard J. Roberts, Dmitri Rodionov, Irina A. Rodionova, Jeffrey DePons, Lana Saleh, Gloria M. Sheynkman, Françoise Thibaud-Nissen, Paul D. Thomas, Peter Uetz, David Vallenet, Erica Watson Carter, Peter Weigele, Valerie Wood, Elisha M. Wood-Charlson, Jin Xu:
A roadmap for the functional annotation of protein families: a community perspective. Database J. Biol. Databases Curation 2022(2022) (2022) - [i7]Carl Poelking, Gianni Chessari, Christopher W. Murray, Richard J. Hall, Lucy J. Colwell, Marcel L. Verdonk:
Meaningful machine learning models and machine-learned pharmacophores from fragment screening campaigns. CoRR abs/2204.06348 (2022) - 2021
- [c5]Krzysztof Marcin Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamás Sarlós, Peter Hawkins, Jared Quincy Davis, Afroz Mohiuddin, Lukasz Kaiser, David Benjamin Belanger, Lucy J. Colwell, Adrian Weller:
Rethinking Attention with Performers. ICLR 2021 - [c4]David Dohan, Andreea Gane, Maxwell L. Bileschi, David Belanger, Lucy J. Colwell:
Improving Protein Function Annotation via Unsupervised Pre-training: Robustness, Efficiency, and Insights. KDD 2021: 2782-2791 - 2020
- [j6]Richard A. Norman, Francesco Ambrosetti, Alexandre M. J. J. Bonvin, Lucy J. Colwell, Sebastian Kelm, Sandeep Kumar, Konrad Krawczyk:
Computational approaches to therapeutic antibody design: established methods and emerging trends. Briefings Bioinform. 21(5): 1549-1567 (2020) - [j5]Brandon Carter, Maxwell L. Bileschi, Jamie Smith, Theo Sanderson, Drew Bryant, David Belanger, Lucy J. Colwell:
Critiquing Protein Family Classification Models Using Sufficient Input Subsets. J. Comput. Biol. 27(8): 1219-1231 (2020) - [j4]Vikram Sundar, Lucy J. Colwell:
The Effect of Debiasing Protein-Ligand Binding Data on Generalization. J. Chem. Inf. Model. 60(1): 56-62 (2020) - [c3]Christof Angermüller, David Dohan, David Belanger, Ramya Deshpande, Kevin Murphy, Lucy J. Colwell:
Model-based reinforcement learning for biological sequence design. ICLR 2020 - [c2]Christof Angermüller, David Belanger, Andreea Gane, Zelda Mariet, David Dohan, Kevin Murphy, Lucy J. Colwell, D. Sculley:
Population-Based Black-Box Optimization for Biological Sequence Design. ICML 2020: 324-334 - [c1]Benjamín Sánchez-Lengeling, Jennifer N. Wei, Brian K. Lee, Emily Reif, Peter Wang, Wesley Wei Qian, Kevin McCloskey, Lucy J. Colwell, Alexander B. Wiltschko:
Evaluating Attribution for Graph Neural Networks. NeurIPS 2020 - [i6]Christof Angermüller, David Belanger, Andreea Gane, Zelda Mariet, David Dohan, Kevin Murphy, Lucy J. Colwell, D. Sculley:
Population-Based Black-Box Optimization for Biological Sequence Design. CoRR abs/2006.03227 (2020) - [i5]Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Jared Davis, Tamás Sarlós, David Belanger, Lucy J. Colwell, Adrian Weller:
Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers. CoRR abs/2006.03555 (2020) - [i4]Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamás Sarlós, Peter Hawkins, Jared Davis, Afroz Mohiuddin, Lukasz Kaiser, David Belanger, Lucy J. Colwell, Adrian Weller:
Rethinking Attention with Performers. CoRR abs/2009.14794 (2020)
2010 – 2019
- 2019
- [i3]Carl Poelking, Yehia Amar, Alexei A. Lapkin, Lucy J. Colwell:
Noisy, sparse, nonlinear: Navigating the Bermuda Triangle of physical inference with deep filtering. CoRR abs/1912.04345 (2019) - 2018
- [i2]Kevin McCloskey, Ankur Taly, Federico Monti, Michael P. Brenner, Lucy J. Colwell:
Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry. CoRR abs/1811.11310 (2018) - 2015
- [j3]Tiberiu Tesileanu, Lucy J. Colwell, Stanislas Leibler:
Protein Sectors: Statistical Coupling Analysis versus Conservation. PLoS Comput. Biol. 11(2) (2015) - 2011
- [i1]Debora S. Marks, Lucy J. Colwell, Robert P. Sheridan, Thomas A. Hopf, Andrea Pagnani, Riccardo Zecchina, Chris Sander:
3D Protein Structure Predicted from Sequence. CoRR abs/1110.5091 (2011) - 2010
- [j2]Lucy J. Colwell, Michael P. Brenner, Katharina Ribbeck:
Charge as a Selection Criterion for Translocation through the Nuclear Pore Complex. PLoS Comput. Biol. 6(4) (2010)
2000 – 2009
- 2009
- [j1]Lucy J. Colwell, Michael P. Brenner:
Action Potential Initiation in the Hodgkin-Huxley Model. PLoS Comput. Biol. 5(1) (2009)
Coauthor Index
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