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David Ryan Koes — most-cited papers & profile · AI for Science
← authors
·
overview
David Ryan Koes
9
papers ·
57
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Generating 3D Molecular Structures Conditional on a Receptor Binding Site with Deep Generative Models
2020 · 27 citations
Ligand Pose Optimization with Atomic Grid-Based Convolutional Neural Networks
2017 · 15 citations
Learning a Continuous Representation of 3D Molecular Structures with Deep Generative Models
2020 · 11 citations
Accelerating Inference in Molecular Diffusion Models with Latent Representations of Protein Structure
2023 · 3 citations
Mixed Continuous and Categorical Flow Matching for 3D De Novo Molecule Generation
2024 · 1 citations
Scalable Inference-Time Annealing with Surrogate Likelihood Estimators
2026
libmolgrid: GPU Accelerated Molecular Gridding for Deep Learning Applications
2019
SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning
2020
Generating 3D Molecules Conditional on Receptor Binding Sites with Deep Generative Models
2021
Top co-authors
Matthew Ragoza
· 4
Tomohide Masuda
· 3
Ian Dunn
· 2
Daniel Pe\~naherrera
· 1
Jocelyn Sunseri
· 1
Jonathan E. King
· 1
Lillian Turner
· 1
Rishal Aggarwal
· 1
Topics
Chemistry
Drug Discovery
Protein Science
Materials