Author

James Henry Broster

University of OxfordORCID 0009-0005-1578-7488Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:protein structure· 1 Approach:statistical model· 1

Frequent Co-Authors

Bojana PopoviciD· 1 shared Charlotte M. DeaneiD· 1 shared Diana A. KondinskaiaiD· 1 shared Fergus ImrieiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Bojana PopovicORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsChemical SciencePeer-reviewedJan 1, 2026

Teaching Diffusion Models Physics: Reinforcement Learning for Physically Valid Diffusion-Based Docking

James Henry Broster, Bojana Popovic, Diana A. Kondinskaia…·Fergus Imrie

This paper improves diffusion-based molecular docking by using reinforcement learning to enforce physical validity, enhancing pose accuracy without increasing computational cost.

DOI 10.1039/d6sc02655a

protein structuredeep learning

𝕏 PostBluesky