Jude Wells

According to our database, Jude Wells authored at least 5 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CACHE Challenge #3: Targeting the Nsp3 Macrodomain of SARS-CoV-2.

Oleksandra Herasymenko, Madhushika Silva, Galen J. Correy, Abd Al-Aziz A. Abu-Saleh, Suzanne Ackloo, Cheryl H. Arrowsmith, Alan Ashworth, Fuqiang Ban, Hartmut Beck, Kevin P. Bishop, Hugo J. Bohórquez, Albina Bolotokova, Marko Breznik, Irene Chau, Yu Chen, Artem Cherkasov, Wim Dehaen, Dennis Della Corte, Katrin Denzinger, Niklas Piet Doering, Kristina Edfeldt, Aled M. Edwards, Darren Fayne, Francesco Gentile, Elisa Gibson, Ozan Gökdemir, Anders Gunnarsson, Judith Guenther, John J. Irwin, Jan Halborg Jensen, Rachel J. Harding, Alexander Hillisch, Laurent Hoffer, Anders Hogner, Ashley Hutchinson, Shubhangi Kandwal, Andrea Karlova, Kushal Koirala, Sergei Kotelnikov, Dima Kozakov, Juyong Lee, Soowon Lee, Uta F. Lessel, Sijie Liu, Xuefeng Liu, Peter Loppnau, Jens Meiler, Rocco Moretti, Yurii S. Moroz, Charuvaka Muvva, Tudor I. Oprea, Brooks Paige, Amit Pandit, Keunwan Park, Gennady Poda, Mykola V. Protopopov, Vera Pütter, Rahul Ravichandran, Didier Rognan, Edina Rosta, Yogesh Sabnis, Thomas Scott, Almagul Seitova, Purshotam Sharma, François Sindt, Minghu Song, Casper Steinmann, Rick Stevens, Valerij Talagayev, Valentyna V. Tararina, Olga O. Tarkhanova, Damon Tingey, John F. Trant, Dakota Treleaven, Alexander Tropsha, W. Patrick Walters, Jude Wells, Yvonne Westermaier, Gerhard Wolber, Lars Wortmann, Shuangjia Zheng, James S. Fraser, Matthieu Schapira

J. Chem. Inf. Model., 2026

2025

D3PO: Preference-Based Alignment of Discrete Diffusion Models.

Umberto Borso, Davide Paglieri, Jude Wells, Tim Rocktäschel

CoRR, March, 2025

CACHE Challenge #2: Targeting the RNA Site of the SARS-CoV-2 Helicase Nsp13.

Oleksandra Herasymenko, Madhushika Silva, Abd Al-Aziz A. Abu-Saleh, Ayaz Ahmad, Jesus Alvarado-Huayhuaz, Oscar Emilio Arrúa Arce, Roly J. Armstrong, Cheryl H. Arrowsmith, Kelly E. Bachta, Hartmut Beck, Dénes Berta, Mateusz K. Bieniek, Vincent Blay, Albina Bolotokova, Philip E. Bourne, Marko Breznik, Peter J. Brown, Aaron D. G. Campbell, Emanuele Carosati, Irene Chau, Daniel J. Cole, Ben Cree, Wim Dehaen, Katrin Denzinger, Karina dos Santos Machado, Ian Dunn, Prasannavenkatesh Durai, Kristina Edfeldt, Aled M. Edwards, Darren Fayne, Daniel Felfoldi, Kallie Friston, Pegah Ghiabi, Elisa Gibson, Judith Guenther, Anders Gunnarsson, Alexander Hillisch, Douglas R. Houston, Jan Halborg Jensen, Rachel J. Harding, Kate S. Harris, Laurent Hoffer, Anders Hogner, Joshua T. Horton, Scott Houliston, Judd F. Hultquist, Ashley Hutchinson, John J. Irwin, Marko Jukic, Shubhangi Kandwal, Andrea Karlova, Vittorio L. Katis, Ryan P. Kich, Dmitri Kireev, David Koes, Nicole L. Inniss, Uta F. Lessel, Sijie Liu, Peter Loppnau, Wei Lu, Sam Alexander Martino, Miles McGibbon, Jens Meiler, Akhila Mettu, Sam Money-Kyrle, Rocco Moretti, Yurii S. Moroz, Charuvaka Muvva, Joseph A. Newman, Leon Obendorf, Brooks Paige, Amit Pandit, Keunwan Park, Sumera Perveen, Rachael Pirie, Gennady Poda, Mykola V. Protopopov, Vera Pütter, Federico Ricci, Natalie J. Roper, Edina Rosta, Margarita Rzhetskaya, Yogesh Sabnis, Karla J. F. Satchell, Frederico Schmitt Kremer, Thomas Scott, Almagul Seitova, Casper Steinmann, Valerij Talagayev, Olga O. Tarkhanova, Natalie J. Tatum, Dakota Treleaven, Adriano Velasque Werhli, W. Patrick Walters, Xiaowen Wang, Jude Wells, Geoffrey Wells, Yvonne Westermaier, Gerhard Wolber, Lars Wortmann, Jixian Zhang, Zheng Zhao, Shuangjia Zheng, Matthieu Schapira

J. Chem. Inf. Model., 2025

2024

Chainsaw: protein domain segmentation with fully convolutional neural networks.

Jude Wells, Alex Hawkins-Hooker, Nicola Bordin, Ian Sillitoe, Brooks Paige, Christine A. Orengo

Bioinform., 2024

2023

Leveraging Variational Autoencoders for Multiple Data Imputation.

Breeshey Roskams-Hieter, Jude Wells, Sara Wade

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023