Lucy J Colwell (Lucy Colwell)

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Binding Protein

Machine Learning

Psychometric Properties

Top Venues

Nature chemistry

Nature biotechnology

Proceedings of the National Academy of Sciences of the United States of America

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

Publications

Anna M Puszkarska, Bruck Taddese, Jefferson Revell, Graeme Davies, Joss Field, David C Hornigold, Andrew Buchanan, Tristan J Vaughan, Lucy J Colwell
Machine learning designs new GCGR/GLP-1R dual agonists with enhanced biological potency. Nature chemistry (2024)
Anna M Puszkarska, Bruck Taddese, Jefferson Revell, Graeme Davies, Joss Field, David C Hornigold, Andrew Buchanan, Tristan J Vaughan, Lucy J Colwell
Machine learning designs new GCGR/GLP-1R dual agonists with enhanced biological potency. Nature chemistry (2024)
Anna M Puszkarska, Bruck Taddese, Jefferson Revell, Graeme Davies, Joss Field, David C Hornigold, Andrew Buchanan, Tristan J Vaughan, Lucy J Colwell
Machine learning designs new GCGR/GLP-1R dual agonists with enhanced biological potency. Nature chemistry (2024)
Anna M Puszkarska, Bruck Taddese, Jefferson Revell, Graeme Davies, Joss Field, David C Hornigold, Andrew Buchanan, Tristan J Vaughan, Lucy J Colwell
Machine learning designs new GCGR/GLP-1R dual agonists with enhanced biological potency. Nature chemistry (2024)
Anna M Puszkarska, Bruck Taddese, Jefferson Revell, Graeme Davies, Joss Field, David C Hornigold, Andrew Buchanan, Tristan J Vaughan, Lucy J Colwell
Machine learning designs new GCGR/GLP-1R dual agonists with enhanced biological potency. Nature chemistry (2024)
David Belanger, Lucy J Colwell
Hallucinating functional protein sequences. Nature biotechnology (2023)
Hannah K Wayment-Steele, Adedolapo M Ojoawo, Renee Otten, Julia M Apitz, Warintra Pitsawong, Marc Hömberger, Sergey Ovchinnikov, Lucy J Colwell, Dorothee Kern
Predicting multiple conformations via sequence clustering and AlphaFold2. Nature (2023)
Typhaine Paysan-Lafosse, Matthias Blum, Sara Rocío 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 research (2022)
Maxwell L Bileschi, David Belanger, Drew H Bryant, Theo Sanderson, Brandon Carter, D Sculley, Alex Bateman, Mark A DePristo, Lucy J Colwell
Using deep learning to annotate the protein universe. Nature biotechnology 40 (6) (2022)
Drew H Bryant, Ali Bashir, Sam Sinai, Nina K Jain, Pierce J Ogden, Patrick F Riley, George M Church, Lucy J Colwell, Eric D Kelsic
Deep diversification of an AAV capsid protein by machine learning. Nature biotechnology 39 (6) (2021)
Daniele Cervettini, Shan Tang, Stephen D Fried, Julian C W Willis, Louise F H Funke, Lucy J Colwell, Jason W Chin
Rapid discovery and evolution of orthogonal aminoacyl-tRNA synthetase-tRNA pairs. Nature biotechnology 38 (8) (2020)
Kevin McCloskey, Ankur Taly, Federico Monti, Michael P Brenner, Lucy J Colwell
Using attribution to decode binding mechanism in neural network models for chemistry. Proceedings of the National Academy of Sciences of the United States of America 116 (24) (2019)