Lucy J. Colwell
Lucy J. Colwell
Cambridge University
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Cited by
Cited by
Protein 3D structure computed from evolutionary sequence variation
DS Marks, LJ Colwell, R Sheridan, TA Hopf, A Pagnani, R Zecchina, ...
PloS one 6 (12), e28766, 2011
Rethinking attention with performers
K Choromanski, V Likhosherstov, D Dohan, X Song, A Gane, T Sarlos, ...
arXiv preprint arXiv:2009.14794, 2020
Three-dimensional structures of membrane proteins from genomic sequencing
TA Hopf, LJ Colwell, R Sheridan, B Rost, C Sander, DS Marks
Cell 149 (7), 1607-1621, 2012
The interface of protein structure, protein biophysics, and molecular evolution
DA Liberles, SA Teichmann, I Bahar, U Bastolla, J Bloom, ...
Protein Science 21 (6), 769-785, 2012
Inferring interaction partners from protein sequences
AF Bitbol, RS Dwyer, LJ Colwell, NS Wingreen
Proceedings of the National Academy of Sciences 113 (43), 12180-12185, 2016
Comparative analysis of nanobody sequence and structure data
LS Mitchell, LJ Colwell
Proteins: Structure, Function, and Bioinformatics 86 (7), 697-706, 2018
A core subunit of Polycomb repressive complex 1 is broadly conserved in function but not primary sequence
LY Beh, LJ Colwell, NJ Francis
Proceedings of the National Academy of Sciences 109 (18), E1063-E1071, 2012
Computational approaches to therapeutic antibody design: established methods and emerging trends
RA Norman, F Ambrosetti, AMJJ Bonvin, LJ Colwell, S Kelm, S Kumar, ...
Briefings in bioinformatics 21 (5), 1549-1567, 2020
Deep diversification of an AAV capsid protein by machine learning
DH Bryant, A Bashir, S Sinai, NK Jain, PJ Ogden, PF Riley, GM Church, ...
Nature Biotechnology 39 (6), 691-696, 2021
Charge as a selection criterion for translocation through the nuclear pore complex
LJ Colwell, MP Brenner, K Ribbeck
PLoS computational biology 6 (4), e1000747, 2010
The emergence of protein complexes: quaternary structure, dynamics and allostery
T Perica, JA Marsh, FL Sousa, E Natan, LJ Colwell, SE Ahnert, ...
Biochemical Society Transactions 40 (3), 475-491, 2012
Model-based reinforcement learning for biological sequence design
C Angermueller, D Dohan, D Belanger, R Deshpande, K Murphy, ...
Using deep learning to annotate the protein universe
ML Bileschi, D Belanger, D Bryant, T Sanderson, B Carter, D Sculley, ...
BioRxiv, 626507, 2019
Protein sectors: statistical coupling analysis versus conservation
T Teşileanu, LJ Colwell, S Leibler
PLoS computational biology 11 (2), e1004091, 2015
Evaluating attribution for graph neural networks
B Sanchez-Lengeling, J Wei, B Lee, E Reif, P Wang, W Qian, ...
Advances in neural information processing systems 33, 5898-5910, 2020
Using attribution to decode binding mechanism in neural network models for chemistry
K McCloskey, A Taly, F Monti, MP Brenner, LJ Colwell
Proceedings of the National Academy of Sciences 116 (24), 11624-11629, 2019
Analysis of nanobody paratopes reveals greater diversity than classical antibodies
LS Mitchell, LJ Colwell
Protein Engineering, Design and Selection 31 (7-8), 267-275, 2018
Using deep learning to annotate the protein universe
ML Bileschi, D Belanger, DH Bryant, T Sanderson, B Carter, D Sculley, ...
Nature Biotechnology 40 (6), 932-937, 2022
Statistical and machine learning approaches to predicting protein–ligand interactions
LJ Colwell
Current opinion in structural biology 49, 123-128, 2018
Power law tails in phylogenetic systems
C Qin, LJ Colwell
Proceedings of the National Academy of Sciences 115 (4), 690-695, 2018
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