Arian Jamasb
Complete Connectomic Reconstruction of Olfactory Projection Neurons in the Fly Brain
AS Bates, P Schlegel, RJV Roberts, N Drummond, IFM Tamimi, ...
Current Biology 30 (16), 3183-3199.e6, 2020
Utilizing graph machine learning within drug discovery and development
T Gaudelet, B Day, AR Jamasb, J Soman, C Regep, G Liu, JBR Hayter, ...
Briefings in bioinformatics 22 (6), bbab159, 2021
Functional and anatomical specificity in a higher olfactory centre
S Frechter, AS Bates, S Tootoonian, MJ Dolan, J Manton, AR Jamasb, ...
Elife 8, e44590, 2019
Ethoscopes: An open platform for high-throughput ethomics
Q Geissmann, L Garcia Rodriguez, EJ Beckwith, AS French, AR Jamasb, ...
PLoS biology 15 (10), e2003026, 2017
SARS-CoV-2 3D database: understanding the coronavirus proteome and evaluating possible drug targets
AF Alsulami, SE Thomas, AR Jamasb, CA Beaudoin, I Moghul, ...
Briefings in bioinformatics 22 (2), 769-780, 2021
Data-driven discovery of molecular photoswitches with multioutput Gaussian processes
RR Griffiths, JL Greenfield, AR Thawani, AR Jamasb, HB Moss, ...
Chemical Science, 2022
Protein representation learning by geometric structure pretraining
Z Zhang, M Xu, A Jamasb, V Chenthamarakshan, A Lozano, P Das, ...
arXiv preprint arXiv:2203.06125, 2022
Predicted structural mimicry of spike receptor-binding motifs from highly pathogenic human coronaviruses
CA Beaudoin, AR Jamasb, AF Alsulami, L Copoiu, AJ van Tonder, S Hala, ...
Computational and Structural Biotechnology Journal 19, 3938-3953, 2021
Graphein-a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks
AR Jamasb, RV Torné, EJ Ma, Y Du, C Harris, K Huang, D Hall, P Lio, ...
ICML 2022 2nd AI for Science Workshop, 2022
GAUCHE: A Library for Gaussian Processes in Chemistry
RR Griffiths, L Klarner, H Moss, A Ravuri, ST Truong, B Rankovic, Y Du, ...
ICML 2022 2nd AI for Science Workshop, 2022
Deep learning for protein–protein interaction site prediction
AR Jamasb, B Day, C Cangea, P Liò, TL Blundell
Proteomics Data Analysis, 263-288, 2021
Message Passing Neural Processes
C Cangea, B Day, AR Jamasb, P Lio
ICLR 2022 Workshop on Geometrical and Topological Representation Learning, 2022
Structure-aware generation of drug-like molecules
P Drotár, AR Jamasb, B Day, C Cangea, P Liò
arXiv preprint arXiv:2111.04107, 2021
On graph neural network ensembles for large-scale molecular property prediction
EE Kosasih, J Cabezas, X Sumba, P Bielak, K Tagowski, K Idanwekhai, ...
arXiv preprint arXiv:2106.15529, 2021
Decoding Surface Fingerprints for Protein-Ligand Interactions
I Igashov, AR Jamasb, A Sadek, F Sverrisson, A Schneuing, P Lio, ...
bioRxiv, 2022
Structure-based Drug Design with Equivariant Diffusion Models
A Schneuing, Y Du, C Harris, A Jamasb, I Igashov, W Du, T Blundell, P Lió, ...
arXiv preprint arXiv:2210.13695, 2022
GrapHiC-A Python library for creating bespoke graph datasets from Hi-C & Multi-omics data
D Hall, AR Jamasb, M Rozenwald, P Lió
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