Arian R. Jamasb

13 papers A* 1Journal 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Topotein: Topological Deep Learning for Protein Representation Learning.
CoRR
Zhiyu Wang, Arian R. Jamasb, Mustafa Hajij, Alex Morehead, Luke Braithwaite, Pietro Liò
2024 J jnl
Evaluating representation learning on the protein structure universe.
CoRR
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
2024 J jnl
Machine learning-aided generative molecular design.
Nat. Mac. Intell.
Yuanqi Du, Arian R. Jamasb, Jeff Guo, Tianfan Fu, Charles Harris, Yingheng Wang, Chenru Duan, Pietro Liò, Philippe Schwaller, Tom L. Blundell
2024 J jnl
RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design.
CoRR
Rishabh Anand, Chaitanya K. Joshi, Alex Morehead, Arian R. Jamasb, Charles Harris, Simon V. Mathis, Kieran Didi, Bryan Hooi, Pietro Liò
2023 J jnl
Multi-State RNA Design with Geometric Multi-Graph Neural Networks.
CoRR
Chaitanya K. Joshi, Arian R. Jamasb, Ramón Viñas, Charles Harris, Simon V. Mathis, Pietro Liò
2022 J jnl
GAUCHE: A Library for Gaussian Processes in Chemistry.
CoRR
Ryan-Rhys Griffiths, Leo Klarner, Henry B. Moss, Aditya Ravuri, Sang Truong, Bojana Rankovic, Yuanqi Du, Arian R. Jamasb, Julius Schwartz, Austin Tripp, Gregory Kell, Anthony Bourached, Alex Chan, Jacob Moss, Chengzhi Guo, Alpha A. Lee, Philippe Schwaller, Jian Tang
2022 A* conf
Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks.
NeurIPS
Arian R. Jamasb, Ramón Viñas Torné, Eric Ma, Yuanqi Du, Charles Harris, Kexin Huang, Dominic Hall, Pietro Lió, Tom L. Blundell
2022 J jnl
Protein Representation Learning by Geometric Structure Pretraining.
CoRR
Zuobai Zhang, Minghao Xu, Arian R. Jamasb, Vijil Chenthamarakshan, Aurélie C. Lozano, Payel Das, Jian Tang
2022 J jnl
Structure-based Drug Design with Equivariant Diffusion Models.
CoRR
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
2021 J jnl
SARS-CoV-2 3D database: understanding the coronavirus proteome and evaluating possible drug targets.
Briefings Bioinform.
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
2021 J jnl
Utilizing graph machine learning within drug discovery and development.
Briefings Bioinform.
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
2020 J jnl
Message Passing Neural Processes.
CoRR
Ben Day, Catalina Cangea, Arian R. Jamasb, Pietro Liò
2020 J jnl
Utilising Graph Machine Learning within Drug Discovery and Development.
CoRR
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