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Fergus Boyles

Showing results (1-10 of 8) with videos related to

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Journal of Chemical Information and Modeling|September 1, 2021
Learning from Docked Ligands: Ligand-Based Features Rescue Structure-Based Scoring Functions When Trained on Docked PosesFergus Boyles, Charlotte M Deane, Garrett M Morris
Protein Science : a Publication of the Protein Society|October 16, 2021
Observed Antibody Space: A diverse database of cleaned, annotated, and translated unpaired and paired antibody sequencesTobias H Olsen, Fergus Boyles, Charlotte M Deane
Bioinformatics (Oxford, England)|October 11, 2019
Learning from the ligand: using ligand-based features to improve binding affinity predictionFergus Boyles, Charlotte M Deane, Garrett M Morris
Nature Computational Science|October 15, 2024
The future of machine learning for small-molecule drug discovery will be driven by dataGuy Durant, Fergus Boyles, Kristian Birchall, et al.
Bioinformatics (Oxford, England)|January 28, 2025
Robustly interrogating machine learning-based scoring functions: what are they learning?Guy Durant, Fergus Boyles, Kristian Birchall, et al.
Communications Biology|May 29, 2023
ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteinsBrennan Abanades, Wing Ki Wong, Fergus Boyles, et al.
Nucleic Acids Research|October 10, 2024
PLAbDab-nano: a database of camelid and shark nanobodies from patents and literatureGemma L Gordon, Alexander Greenshields-Watson, Parth Agarwal, et al.
Communications Biology|May 20, 2026
ANARCII enables alignment-free antigen receptor numbering using a generalised language modelAlexander Greenshields-Watson, Parth Agarwal, Sarah A Robinson, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of Chemical Information and Modeling|September 1, 2021
Learning from Docked Ligands: Ligand-Based Features Rescue Structure-Based Scoring Functions When Trained on Docked PosesFergus Boyles, Charlotte M Deane, Garrett M Morris
Protein Science : a Publication of the Protein Society|October 16, 2021
Observed Antibody Space: A diverse database of cleaned, annotated, and translated unpaired and paired antibody sequencesTobias H Olsen, Fergus Boyles, Charlotte M Deane
Bioinformatics (Oxford, England)|October 11, 2019
Learning from the ligand: using ligand-based features to improve binding affinity predictionFergus Boyles, Charlotte M Deane, Garrett M Morris
Nature Computational Science|October 15, 2024
The future of machine learning for small-molecule drug discovery will be driven by dataGuy Durant, Fergus Boyles, Kristian Birchall, et al.
Bioinformatics (Oxford, England)|January 28, 2025
Robustly interrogating machine learning-based scoring functions: what are they learning?Guy Durant, Fergus Boyles, Kristian Birchall, et al.
Communications Biology|May 29, 2023
ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteinsBrennan Abanades, Wing Ki Wong, Fergus Boyles, et al.
Nucleic Acids Research|October 10, 2024
PLAbDab-nano: a database of camelid and shark nanobodies from patents and literatureGemma L Gordon, Alexander Greenshields-Watson, Parth Agarwal, et al.
Communications Biology|May 20, 2026
ANARCII enables alignment-free antigen receptor numbering using a generalised language modelAlexander Greenshields-Watson, Parth Agarwal, Sarah A Robinson, et al.
Pageof 1