| Structure-based drug design with equivariant diffusion models A Schneuing, Y Du, C Harris, A Jamasb, I Igashov, W Du, T Blundell, P Lió, ... arXiv preprint arXiv:2210.13695, 2022 | 128* | 2022 |
| Equivariant 3D-conditional diffusion model for molecular linker design I Igashov, H Stärk, C Vignac, A Schneuing, VG Satorras, P Frossard, ... Nature Machine Intelligence, 1-11, 2024 | 76 | 2024 |
| A new age in protein design empowered by deep learning H Khakzad, I Igashov, A Schneuing, C Goverde, M Bronstein, B Correia Cell Systems 14 (11), 925-939, 2023 | 12 | 2023 |
| Retrobridge: Modeling retrosynthesis with markov bridges I Igashov, A Schneuing, M Segler, M Bronstein, B Correia arXiv preprint arXiv:2308.16212, 2023 | 4 | 2023 |
| Decoding surface fingerprints for protein-ligand interactions I Igashov, AR Jamasb, A Sadek, F Sverrisson, A Schneuing, P Lio, ... bioRxiv, 2022.04. 26.489341, 2022 | 4 | 2022 |
| Introducing CNN-Based Mouse Grim Scale Analysis for Fully Automated Image-Based Assessment of Distress in Laboratory Mice. M Kopaczka, L Ernst, J Schock, A Schneuing, A Guth, R Tolba, D Merhof VCBM@ MICCAI, 101-106, 2018 | 4 | 2018 |
| Targeting protein-ligand neosurfaces using a generalizable deep learning approach A Marchand, S Buckley, A Schneuing, M Pacesa, P Gainza, E Elizarova, ... bioRxiv, 2024.03. 25.585721, 2024 | | 2024 |
| Evaluation Metrics for Protein Structure Generation J Southern, A Schneuing, MM Bronstein, B Correia | | 2023 |
| Selection of glucose metabolism models with an observer error metric BJE Misgeld, A Schneuing, S Leonhardt IFAC-PapersOnLine 51 (27), 288-293, 2018 | | 2018 |
