Ron Dror
Cheriton Family Professor
Combines molecular simulation and machine learning to study biomolecular structure and drug discovery.
Ron Dror's lab at Stanford works on proteins, drugs & materials, physics, climate & scientific computing and physics-based simulation & animation. 33 papers since 2023, 18 at top venues, mostly Nature Communications and Nature. 9 PhD students. 36 alumni. Applications close .
At a glance
- papers, 2023–2026
- 9/ year
- at T1 venues
- 55%
- PhD students
- 9
- MS students
- 0
- alumni listed
- 36
Papers by yearfrom the lab homepage, 2023–2026
- 6 papers2026 · T1 4 · collecting
- 7 papers2025 · T1 5
- 6 papers2024 · T1 2
- 14 papers2023 · T1 7
T1 venuesOtherVenues: Nature Communications, Nature, Nature Methods, Cell, ICML
Research focuspaper titles that use each topic's words
- Proteins, drugs & materials3 papers
- biomolecular2 papers
- Physics-based simulation & animation1 paper
- Physics, climate & scientific computing0 papers
- drug discovery0 papers
Paper list
From the lab homepage.
20266 papers
- PNAS (T1)Mechanism of gating and isoform-specific inhibition in renal CLC chloride channels (opens in a new tab)
- Nature Communications (T1)Molecular mechanism of exchange coupling in CLC chloride/proton antiporters (opens in a new tab)
- Nature Structural and Molecular BiologyStructural basis of opioid receptor activation by PCP and ketamine (opens in a new tab)
- Nature Communications (T1)Structural dynamics of kappa opioid receptor interactions with β-arrestin 1 (opens in a new tab)
- Nature Structural & Molecular Biology 33 (4), 701-710Structural insights into coffee bitter taste perception by TAS2R43 receptor (opens in a new tab)
- NeurIPS (T1)Unlocking hidden biomolecular conformational landscapes in diffusion models at inference time (opens in a new tab)
20257 papers
- Nature (T1)A cryptic pocket in CB1 drives peripheral and functional selectivity (opens in a new tab)
- Journal of Chemical Information and ModelingProtein Structural Model Selection Informed by Comparison of Predicted Ligand Binding Poses (opens in a new tab)
- Nature Communications (T1)Structural insights into lipid chain-length selectivity and allosteric regulation of FFA2 (opens in a new tab)
- Nature (T1)Structure and mechanism of the mitochondrial calcium transporter NCLX (opens in a new tab)
- Nature (T1)Structure of mitochondrial pyruvate carrier and its inhibition mechanism (opens in a new tab)
- The Journal of Chemical Physics 162, 014101Systematic analysis of biomolecular conformational ensembles with PENSA (opens in a new tab)
- Neuron (T1)The polypharmacology of psychedelics reveals multiple targets for potential therapeutics (opens in a new tab)
20246 papers
- Nature Communications (T1)A non-canonical mechanism of GPCR activation (opens in a new tab)
- eLife 12:RP90648CryoEM structures of the human CLC-2 voltage gated chloride channel reveal a ball and chain gating mechanism (opens in a new tab)
- Nature Structural & Molecular Biology 31, 667-677GPR161 structure uncovers the redundant role of sterol-regulated ciliary cAMP signaling in the Hedgehog pathway (opens in a new tab)
- Nature Methods (T1)RNA-Puzzles Round V: blind predictions of 23 RNA structures (opens in a new tab)
- ACS Central Science 10, 1490-1503Signaling Modulation Mediated by Ligand Water Interactions with the Sodium Site at μOR (opens in a new tab)
- Annual Review of Biochemistry 93, 389-410The Art and Science of Molecular Docking (opens in a new tab)
202314 papers
- Nature Methods (T1)A positively tuned voltage indicator for extended electrical recordings in the brain (opens in a new tab)
- Nature Communications (T1)Constrained catecholamines gain β2AR selectivity through allosteric effects on pocket dynamics (opens in a new tab)
- Machine Learning for Structural Biology Workshop, NeurIPS .Enhancing Ligand Pose Sampling for Molecular Docking (opens in a new tab)
- ICLR WorkshopFlexVDW: A machine learning approach to account for protein flexibility in ligand docking (opens in a new tab)
- ACS Central Science 9, 2257-2267Geometric Deep Learning for Structure-Based Ligand Design (opens in a new tab)
- ICML (T1)Geometric Latent Diffusion Models for 3D Molecular Generation (opens in a new tab)
- eLife 12:RP89386How accurately can one predict drug binding modes using AlphaFold models? (opens in a new tab)
- Machine Learning for Structural Biology Workshop, NeurIPS .Implicit geometry and interaction embeddings improve few-shot molecular property prediction (opens in a new tab)
- Nature Communications (T1)Molecular mechanism of biased signaling at the kappa opioid receptor (opens in a new tab)
- Proteins 91, 1089-1096Protein model quality assessment using rotation-equivariant transformations on point clouds (opens in a new tab)
- Nature Communications (T1)Structural basis for activation of CB1 by an endocannabinoid analog (opens in a new tab)
- Cell (T1)Structural basis for ion selectivity in potassium-selective channelrhodopsins (opens in a new tab)
Where alumni went36 listed
Apply to StanfordFall 2027
Stanford Computer Science PhD
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