Arian Jamasb

Arian Jamasb

University of Cambridge

H-index: 13

Europe-United Kingdom

About Arian Jamasb

Arian Jamasb, With an exceptional h-index of 13 and a recent h-index of 13 (since 2020), a distinguished researcher at University of Cambridge, specializes in the field of Computational Biology, Machine Learning, Deep Learning, Structural Biology.

His recent articles reflect a diverse array of research interests and contributions to the field:

gRNAde: Geometric Deep Learning for 3D RNA inverse design

Posecheck: Generative models for 3d structure-based drug design produce unrealistic poses

Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design

Multi-State RNA Design with Geometric Multi-Graph Neural Networks

Flexible Small-Molecule Design and Optimization with Equivariant Diffusion Models

Evaluating Representation Learning on the Protein Structure Universe

GAUCHE: A library for Gaussian processes in chemistry

Structure-based drug design with equivariant diffusion models

Arian Jamasb Information

University

Position

___

Citations(all)

957

Citations(since 2020)

937

Cited By

146

hIndex(all)

13

hIndex(since 2020)

13

i10Index(all)

13

i10Index(since 2020)

13

Email

University Profile Page

Google Scholar

Arian Jamasb Skills & Research Interests

Computational Biology

Machine Learning

Deep Learning

Structural Biology

Top articles of Arian Jamasb

gRNAde: Geometric Deep Learning for 3D RNA inverse design

bioRxiv

2024

Posecheck: Generative models for 3d structure-based drug design produce unrealistic poses

2023/10/27

Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design

2023/10/13

Multi-State RNA Design with Geometric Multi-Graph Neural Networks

arXiv preprint arXiv:2305.14749

2023/5/24

Flexible Small-Molecule Design and Optimization with Equivariant Diffusion Models

2023/5/5

Evaluating Representation Learning on the Protein Structure Universe

2024/4

Structure-based drug design with equivariant diffusion models

arXiv preprint arXiv:2210.13695

2022/10/24

Protein representation learning by geometric structure pretraining

arXiv preprint arXiv:2203.06125

2022/3/11

Message passing neural processes

2022/3/2

Data-driven discovery of molecular photoswitches with multioutput Gaussian processes

Chemical Science

2022

Graphein-a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks

2022

On graph neural network ensembles for large-scale molecular property prediction

arXiv preprint arXiv:2106.15529

2021/6/29

SARS-CoV-2 3D database: understanding the coronavirus proteome and evaluating possible drug targets

Briefings in bioinformatics

2021/3

Deep learning for protein–protein interaction site prediction

Proteomics data analysis

2021

Predicted structural mimicry of spike receptor-binding motifs from highly pathogenic human coronaviruses

2021

Arian Jamasb
Arian Jamasb

H-Index: 4

Pedro Torres
Pedro Torres

H-Index: 6

Structure-aware generation of drug-like molecules

arXiv preprint arXiv:2111.04107

2021/11/7

Utilizing graph machine learning within drug discovery and development

2021/11

Complete Connectomic Reconstruction of Olfactory Projection Neurons in the Fly Brain

Current Biology

2020/8/17

See List of Professors in Arian Jamasb University(University of Cambridge)

Co-Authors

academic-engine