Arian R. Jamasb
Affiliations: | University of Cambridge, Cambridge, England, United Kingdom |
Area:
Machine Learning, Structural BiologyGoogle:
"Arian Jamasb"Parents
Sign in to add mentor| Tom Blundell | grad student | 2018- | Cambridge |
| Pietro Liò | grad student | 2018- | Cambridge |
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Publications
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| Schneuing A, Harris C, Du Y, et al. (2024) Structure-based drug design with equivariant diffusion models. Nature Computational Science |
| Jamasb AR, Morehead A, Joshi CK, et al. (2024) Evaluating representation learning on the protein structure universe. Arxiv |
| Anand R, Joshi CK, Morehead A, et al. (2024) RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design. Arxiv |
| Joshi CK, Jamasb AR, Viñas R, et al. (2024) gRNAde: Geometric Deep Learning for 3D RNA inverse design. Arxiv |
| Joshi CK, Jamasb AR, Viñas R, et al. (2024) gRNAde: Geometric Deep Learning for 3D RNA inverse design. Biorxiv : the Preprint Server For Biology |
| Jamasb AR, Day B, Cangea C, et al. (2021) Deep Learning for Protein-Protein Interaction Site Prediction. Methods in Molecular Biology (Clifton, N.J.). 2361: 263-288 |
| Beaudoin CA, Jamasb AR, Alsulami AF, et al. (2021) Predicted structural mimicry of spike receptor-binding motifs from highly pathogenic human coronaviruses. Computational and Structural Biotechnology Journal |
| Gaudelet T, Day B, Jamasb AR, et al. (2021) Utilizing graph machine learning within drug discovery and development. Briefings in Bioinformatics |
| Alsulami AF, Thomas SE, Jamasb AR, et al. (2021) SARS-CoV-2 3D database: understanding the coronavirus proteome and evaluating possible drug targets. Briefings in Bioinformatics |