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Bioinformatics (Oxford, England)
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February 3, 2021
Generating property-matched decoy molecules using deep learning
Fergus Imrie, Anthony R Bradley, Charlotte M Deane
Expert Opinion on Drug Discovery
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December 25, 2025
From algorithms to systems: integrating computation into drug discovery
Anthony R Bradley, Adrian Rossall, Garry Pairaudeau, et al.
Journal of Chemical Information and Modeling
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July 22, 2022
Coverage Score: A Model Agnostic Method to Efficiently Explore Chemical Space
Daniel J Woodward, Anthony R Bradley, Willem P van Hoorn
Chemical Science
|
December 9, 2021
Deep generative design with 3D pharmacophoric constraints
Fergus Imrie, Thomas E Hadfield, Anthony R Bradley, et al.
Journal of Chemical Information and Modeling
|
October 2, 2018
Protein Family-Specific Models Using Deep Neural Networks and Transfer Learning Improve Virtual Screening and Highlight the Need for More Data
Fergus Imrie, Anthony R Bradley, Mihaela van der Schaar, et al.
Journal of Chemical Information and Modeling
|
March 21, 2020
Deep Generative Models for 3D Linker Design
Fergus Imrie, Anthony R Bradley, Mihaela van der Schaar, et al.
Frontiers in Bioinformatics
|
October 28, 2022
The druggable genome: Twenty years later
Chris J Radoux, Francesca Vianello, Jake McGreig, et al.
Journal of Medicinal Chemistry
|
February 11, 2026
The Heterocycle Isostere Explorer: A Computational Tool for the Discovery of Novel Aromatic Heterocyclic Isosteres
Matthew T O Holland, Víctor Sebastián-Pérez, Anthony R Bradley, et al.
Journal of Chemical Information and Modeling
|
September 23, 2014
OOMMPPAA: a tool to aid directed synthesis by the combined analysis of activity and structural data
Anthony R Bradley, Ian D Wall, Darren V S Green, et al.
Acta Crystallographica. Section D, Structural Biology
|
March 15, 2017
WONKA and OOMMPPAA: analysis of protein-ligand interaction data to direct structure-based drug design
Charlotte M Deane, Ian D Wall, Darren V S Green, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 19) with videos related to
Sort By:
Page
of 2
Bioinformatics (Oxford, England)
|
February 3, 2021
Generating property-matched decoy molecules using deep learning
Fergus Imrie, Anthony R Bradley, Charlotte M Deane
Expert Opinion on Drug Discovery
|
December 25, 2025
From algorithms to systems: integrating computation into drug discovery
Anthony R Bradley, Adrian Rossall, Garry Pairaudeau, et al.
Journal of Chemical Information and Modeling
|
July 22, 2022
Coverage Score: A Model Agnostic Method to Efficiently Explore Chemical Space
Daniel J Woodward, Anthony R Bradley, Willem P van Hoorn
Chemical Science
|
December 9, 2021
Deep generative design with 3D pharmacophoric constraints
Fergus Imrie, Thomas E Hadfield, Anthony R Bradley, et al.
Journal of Chemical Information and Modeling
|
October 2, 2018
Protein Family-Specific Models Using Deep Neural Networks and Transfer Learning Improve Virtual Screening and Highlight the Need for More Data
Fergus Imrie, Anthony R Bradley, Mihaela van der Schaar, et al.
Journal of Chemical Information and Modeling
|
March 21, 2020
Deep Generative Models for 3D Linker Design
Fergus Imrie, Anthony R Bradley, Mihaela van der Schaar, et al.
Frontiers in Bioinformatics
|
October 28, 2022
The druggable genome: Twenty years later
Chris J Radoux, Francesca Vianello, Jake McGreig, et al.
Journal of Medicinal Chemistry
|
February 11, 2026
The Heterocycle Isostere Explorer: A Computational Tool for the Discovery of Novel Aromatic Heterocyclic Isosteres
Matthew T O Holland, Víctor Sebastián-Pérez, Anthony R Bradley, et al.
Journal of Chemical Information and Modeling
|
September 23, 2014
OOMMPPAA: a tool to aid directed synthesis by the combined analysis of activity and structural data
Anthony R Bradley, Ian D Wall, Darren V S Green, et al.
Acta Crystallographica. Section D, Structural Biology
|
March 15, 2017
WONKA and OOMMPPAA: analysis of protein-ligand interaction data to direct structure-based drug design
Charlotte M Deane, Ian D Wall, Darren V S Green, et al.
Page
of 2