most citedFLOWR: Flow Matching for Structure-Aware De Novo, Interaction- and Fragment-Based Ligand Generation

3 citations · 3 across the 2 of their papers we have counts for

collaborators

5 papers

stat.ML2026

Boltzmann-Expected Molecular Design with Decoupled Annealing Flows

Selma Moqvist, Richard Beckmann, Ross Irwin +2

Most 3D properties relevant to molecular design, including free energies and shape descriptors, are over the Boltzmann distribution over 3D configurations o…

q-bio.QM20263 cited

FLOWR: Flow Matching for Structure-Aware De Novo, Interaction- and Fragment-Based Ligand Generation

Julian Cremer, Ross Irwin, Alessandro Tibo +3

We introduce FLOWR, a novel structure-based framework for the generation and optimization of three-dimensional ligands. FLOWR integrates continuous and categorical flow matching wi…

cs.LG2025

Assay2Mol: large language model-based drug design using BioAssay context

Yifan Deng, Spencer S. Ericksen, Anthony Gitter

Scientific databases aggregate vast amounts of quantitative data alongside descriptive text. In biochemistry, molecule screening assays evaluate candidate molecules' functional res…

cs.LG2025

Compositional Flows for 3D Molecule and Synthesis Pathway Co-design

Tony Shen, Seonghwan Seo, Ross Irwin +4

Many generative applications, such as synthesis-based 3D molecular design, involve constructing compositional objects with continuous features. Here, we introduce Compositional Gen…

cs.LG2025

SemlaFlow -- Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching

Ross Irwin, Alessandro Tibo, Jon Paul Janet +1

Methods for jointly generating molecular graphs along with their 3D conformations have gained prominence recently due to their potential impact on structure-based drug design. Curr…