Yusuf Hamied Department of Chemistry

Hilbert Lam

Publications

OmniBind: Proteome-Wide Promiscuity Predictions for Early-Stage Drug Screening
J Hanke, S Pujalte Ojeda, RW Cheong, LM Glasstetter, E Baker, HYI Lam, M Brezinova, AAB Louet, S Zhang, M Vendruscolo
(2026)
(doi: 10.64898/2026.03.17.712433)
Metadiffusion: inference-time meta-energy biasing of biomolecular diffusion models
HYI Lam, SP Ojeda, M Brezinova, J Hanke, XE Ong, Y Mu, M Vendruscolo
(2026)
(doi: 10.64898/2026.02.10.704873)
Quantitative intra-Golgi transport and organization data suggest the stable compartment nature of the Golgi
HC Tie, H Wang, D Mahajan, HYI Lam, X Sun, B Chen, Y Mu, L Lu
eLife
(2025)
13
(doi: 10.7554/elife.98582.3)
Quantitative intra-Golgi transport and organization data suggest the stable compartment nature of the Golgi
HC Tie, H Wang, D Mahajan, HYI Lam, X Sun, B Chen, Y Mu, L Lu
Elife
(2025)
13
(doi: 10.7554/eLife.98582)
Quantitative intra-Golgi transport and organization data suggest the stable compartment nature of the Golgi
HC Tie, H Wang, D Mahajan, HYI Lam, X Sun, B Chen, Y Mu, L Lu
(2025)
(doi: 10.7554/elife.98582.2)
Advancing Bioactivity Prediction Through Molecular Docking and Self-Attention.
Y Yin, HYI Lam, Y Mu, H-Y Li, AW-K Kong
IEEE J Biomed Health Inform
(2024)
28
(doi: 10.1109/JBHI.2024.3448455)
Protein language models are performant in structure-free virtual screening.
HYI Lam, JS Guan, XE Ong, R Pincket, Y Mu
Brief Bioinform
(2024)
25
(doi: 10.1093/bib/bbae480)
Protein language models are performant in structure-free virtual screening
HYI Lam, JS Guan, XE Ong, R Pincket, Y Mu
(2024)
(doi: 10.1101/2024.04.16.589765)
Quantitative intra-Golgi transport and organization data suggest the stable compartment nature of the Golgi
HC Tie, H Wang, D Mahajan, HYI Lam, X Sun, B Chen, Y Mu, L Lu
(2024)
(doi: 10.1101/2024.04.11.589010)
Application of variational graph encoders as an effective generalist algorithm in computer-aided drug design
HYI Lam, R Pincket, H Han, XE Ong, Z Wang, J Hinks, Y Wei, W Li, L Zheng, Y Mu
Nature Machine Intelligence
(2023)
5
(doi: 10.1038/s42256-023-00683-9)

Research Group

Telephone number

01223 748845

Email address

yil21@cam.ac.uk

College

Emmanuel College
Yusuf Hamied Department of Chemistry
Lensfield Road
Cambridge
CB2 1EW
T: +44 (0) 1223 336300
enquiries@ch.cam.ac.uk
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