activity
20192025
most citedEquivariant 3D-Conditional Diffusion Models for Molecular Linker Design

35 citations · 72 across the 5 of their papers we have counts for

collaborators

10 papers

cs.LG2025

A Scientific Reasoning Model for Organic Synthesis Procedure Generation

Guoqing Liu, Junren Li, Zihan Zhao +7

Solving computer-aided synthesis planning is essential for enabling fully automated, robot-assisted synthesis workflows and improving the efficiency of drug discovery. A key challe…

physics.chem-ph2025

Accurate Chemistry Collection: Coupled cluster atomization energies for broad chemical space

Sebastian Ehlert, Jan Hermann, Thijs Vogels +11

Accurate thermochemical data with sub-chemical accuracy (within 1 kcal mol of the empirical ground truth) are essential for advancing computational chemistry methods. Howeve…

q-bio.QM2024

Improved motif-scaffolding with SE(3) flow matching

Jason Yim, Andrew Campbell, Emile Mathieu +9

Protein design often begins with the knowledge of a desired function from a motif which motif-scaffolding aims to construct a functional protein around. Recently, generative models…

q-bio.QM202322 cited

Fast protein backbone generation with SE(3) flow matching

Jason Yim, Andrew Campbell, Andrew Y. K. Foong +8

We present FrameFlow, a method for fast protein backbone generation using SE(3) flow matching. Specifically, we adapt FrameDiff, a state-of-the-art diffusion model, to the flow-mat…

cs.LG202235 cited

Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design

Ilia Igashov, Hannes Stärk, Clément Vignac +5

Fragment-based drug discovery has been an effective paradigm in early-stage drug development. An open challenge in this area is designing linkers between disconnected molecular fra…

cs.LG202211 cited

Multivariate Time Series Forecasting with Latent Graph Inference

Victor Garcia Satorras, Syama Sundar Rangapuram, Tim Januschowski

This paper introduces a new approach for Multivariate Time Series forecasting that jointly infers and leverages relations among time series. Its modularity allows it to be integrat…