activity
20242026
most citedSemlaFlow -- Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching

7 citations · 12 across the 5 of their papers we have counts for

collaborators

8 papers

cs.AI2026

From Benchmark to Bench: Can Agents Survive Real-World Drug Discovery?

Pierre Llompart, Levent Guner, Helen Lai +2

Agentic systems increasingly coordinate molecular-design tools, but it is unclear which layer of the stack limits outcomes on real projects. We developed MAGI, an open modular agen…

cs.LG2026

Ensemble-Conditioned Molecular Design

Ross Irwin, Alessandro Tibo, Jon Paul Janet +1

Molecular design is typically approached as a problem of finding molecules which can adopt a single bioactive conformation. In reality, molecules occupy a distribution over conform…

cs.LG2025

A decoupled alignment kernel for peptide membrane permeability predictions

Ali Amirahmadi, Gökçe Geylan, Leonardo De Maria +3

Cyclic peptides are promising modalities for targeting intracellular sites; however, cell-membrane permeability remains a key bottleneck, exacerbated by limited public data and the…

cs.LG2025

FlexiFlow: decomposable flow matching for generation of flexible molecular ensemble

Riccardo Tedoldi, Ola Engkvist, Patrick Bryant +3

Sampling useful three-dimensional molecular structures along with their most favorable conformations is a key challenge in drug discovery. Current state-of-the-art 3D de-novo desig…

cs.LG2025★ 1 cited

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…

q-bio.QM2025★ 4 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…

q-bio.BM2024

PepINVENT: Generative peptide design beyond the natural amino acids

Gökçe Geylan, Jon Paul Janet, Alessandro Tibo +7

Peptides play a crucial role in the drug design and discovery whether as a therapeutic modality or a delivery agent. Non-natural amino acids (NNAAs) have been used to enhance the p…

cs.LG2024★ 7 cited

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…