Arian R. Jamasb

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Geometric Structure

Interaction Networks

Top Venues

Briefings Bioinform.

Nat. Mac. Intell.

Publications

Rishabh Anand, Chaitanya K. Joshi, Alex Morehead, Arian R. Jamasb, Charles Harris, Simon V. Mathis, Kieran Didi, Bryan Hooi, Pietro Liò
RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design. CoRR (2024)
Yuanqi Du, Arian R. Jamasb, Jeff Guo, Tianfan Fu, Charles Harris, Yingheng Wang, Chenru Duan, Pietro Liò, Philippe Schwaller, Tom L. Blundell
Machine learning-aided generative molecular design. Nat. Mac. Intell. 6 (6) (2024)
Arian R. Jamasb, Alex Morehead, Chaitanya K. Joshi, Zuobai Zhang, Kieran Didi, Simon V. Mathis, Charles Harris, Jian Tang, Jianlin Cheng, Pietro Lio, Tom L. Blundell
Evaluating representation learning on the protein structure universe. CoRR (2024)
Chaitanya K. Joshi, Arian R. Jamasb, Ramón Viñas, Charles Harris, Simon V. Mathis, Pietro Liò
Multi-State RNA Design with Geometric Multi-Graph Neural Networks. CoRR (2023)
Arne Schneuing, Yuanqi Du, Charles Harris, Arian R. Jamasb, Ilia Igashov, Weitao Du, Tom L. Blundell, Pietro Lió, Carla Gomes, Max Welling, Michael M. Bronstein, Bruno E. Correia
Structure-based Drug Design with Equivariant Diffusion Models. CoRR (2022)
Arian R. Jamasb, Ramón Viñas Torné, Eric Ma, Yuanqi Du, Charles Harris, Kexin Huang, Dominic Hall, Pietro Lió, Tom L. Blundell
Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks. NeurIPS (2022)
Zuobai Zhang, Minghao Xu, Arian R. Jamasb, Vijil Chenthamarakshan, Aurélie C. Lozano, Payel Das, Jian Tang
Protein Representation Learning by Geometric Structure Pretraining. CoRR (2022)
Ali F. Alsulami, Sherine E. Thomas, Arian R. Jamasb, Christopher A. Beaudoin, Ismail Moghul, Bridget Bannerman, Liviu Copoiu, Sundeep Chaitanya Vedithi, Pedro Torres, Tom L. Blundell
SARS-CoV-2 3D database: understanding the coronavirus proteome and evaluating possible drug targets. Briefings Bioinform. 22 (2) (2021)
Thomas Gaudelet, Ben Day, Arian R. Jamasb, Jyothish Soman, Cristian Regep, Gertrude Liu, Jeremy B. R. Hayter, Richard Vickers, Charles Roberts, Jian Tang, David Roblin, Tom L. Blundell, Michael M. Bronstein, Jake P. Taylor-King
Utilizing graph machine learning within drug discovery and development. Briefings Bioinform. 22 (6) (2021)
Ben Day, Catalina Cangea, Arian R. Jamasb, Pietro Liò
Message Passing Neural Processes. CoRR (2020)
Thomas Gaudelet, Ben Day, Arian R. Jamasb, Jyothish Soman, Cristian Regep, Gertrude Liu, Jeremy B. R. Hayter, Richard Vickers, Charles Roberts, Jian Tang, David Roblin, Tom L. Blundell, Michael M. Bronstein, Jake P. Taylor-King
Utilising Graph Machine Learning within Drug Discovery and Development. CoRR (2020)