Awesome AI for Science
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Ron O. Dror — most-cited papers & profile · AI for Science
← authors
·
overview
Ron O. Dror
7
papers ·
121
citations ·
94
h-index
Stanford Medicine · Stanford University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Equivariant Graph Neural Networks for 3D Macromolecular Structure
2021 · 49 citations
End-to-End Learning on 3D Protein Structure for Interface Prediction
2018 · 43 citations
Systematic Analysis of Biomolecular Conformational Ensembles with PENSA
2022 · 20 citations
Protein model quality assessment using rotation-equivariant, hierarchical neural networks
2020 · 5 citations
FlexVDW: A machine learning approach to account for protein flexibility in ligand docking
2023 · 2 citations
Enhancing Ligand Pose Sampling for Molecular Docking
2023 · 2 citations
Unlocking hidden biomolecular conformational landscapes in diffusion models at inference time
2025
Top co-authors
Patricia Suriana
· 3
Stephan Eismann
· 2
Bowen Jing
· 1
Bowen Jing
· 1
Carl-Mikael Suomivuori
· 1
Daniel D. Richman
· 1
Jasper McAvity
· 1
Jessica Karaguesian
· 1
Joseph M. Paggi
· 1
Martin V\"ogele
· 1
Neil J. Thomson
· 1
Patricia A. Suriana
· 1
Topics
Protein Science
Chemistry
Drug Discovery
Physics ML