| OptiMol: Optimization of Binding Affinities in Chemical Space for Drug Discovery J Boitreaud, V Mallet, C Oliver, J Waldispuhl Journal of Chemical Information and Modeling 60 (12), 5658-5666, 2020 | 80 | 2020 |
| Augmented base pairing networks encode RNA-small molecule binding preferences C Oliver, V Mallet, RS Gendron, V Reinharz, WL Hamilton, N Moitessier, ... Nucleic Acids Research, 7690-7699,, 2020 | 63 | 2020 |
| Endowing protein language models with structural knowledge P Hartout, D Chen, P Pellizzoni, C Oliver, K Borgwardt Bioinformatics 41 (11), btaf582, 2025 | 25* | 2025 |
| Proteinshake: Building datasets and benchmarks for deep learning on protein structures T Kucera^, C Oliver^, D Chen, K Borgwardt Advances in Neural Information Processing Systems 36, 58277-58289, 2023 | 25 | 2023 |
| Automated, customizable and efficient identification of 3D base pair modules with BayesPairing R Sarrazin-Gendron, V Reinharz, CG Oliver, N Moitessier, J Waldispühl Nucleic acids research 47 (7), 3321-3332, 2019 | 24 | 2019 |
| Proposal for a fully decentralized blockchain and proof-of-work algorithm for solving NP-complete problems CG Oliver, A Ricottone, P Philippopoulos arXiv preprint arXiv:1708.09419, 2017 | 23 | 2017 |
| RNAmigos2: accelerated structure-based RNA virtual screening with deep graph learning JG Carvajal-Patiño, V Mallet, D Becerra, LF Niño Vasquez, C Oliver*, ... Nature Communications 16 (1), 1-12, 2025 | 20 | 2025 |
| Vernal: a tool for mining fuzzy network motifs in RNA C Oliver^, V Mallet^, P Philippopoulos, WL Hamilton, J Waldispühl Bioinformatics 38 (4), 970-976, 2022 | 19 | 2022 |
| Stochastic sampling of structural contexts improves the scalability and accuracy of RNA 3d module identification R Sarrazin-Gendron, HT Yao, V Reinharz, CG Oliver, Y Ponty, ... International Conference on Research in Computational Molecular Biology, 186-201, 2020 | 17 | 2020 |
| RNAglib: a python package for RNA 2.5 D graphs V Mallet^, C Oliver^, J Broadbent, WL Hamilton, J Waldispühl Bioinformatics 38 (5), 1458-1459, 2022 | 15 | 2022 |
| Multimodal learning in clinical proteomics: enhancing antimicrobial resistance prediction models with chemical information G Visonà, D Duroux, L Miranda, E Sükei, Y Li, K Borgwardt*, C Oliver* Bioinformatics 39 (12), btad717, 2023 | 14 | 2023 |
| Difficulty Scaling in Proof of Work for Decentralized Problem Solving P Philippopoulos, A Ricottone, CG Oliver Ledger 5, 2020 | 14 | 2020 |
| Unsupervised manifold alignment with joint multidimensional scaling D Chen, B Fan, C Oliver, K Borgwardt arXiv preprint arXiv:2207.02968, 2022 | 12 | 2022 |
| Concerted millisecond timescale dynamics in the intrinsically disordered carboxyl terminus of γ‐tubulin induced by mutation of a conserved tyrosine residue J Harris, M Shadrina, C Oliver, J Vogel, A Mittermaier Protein Science 27 (2), 531-545, 2018 | 9 | 2018 |
| Leveraging binding-site structure for drug discovery with point-cloud methods V Mallet McGill University (Canada), 2019 | 7 | 2019 |
| The distribution and evolution of Arabidopsis thaliana cis natural antisense transcripts J Bouchard, C Oliver, PM Harrison BMC genomics 16 (1), 444, 2015 | 7 | 2015 |
| On the emergence of structural complexity in RNA replicators CG Oliver, V Reinharz, J Waldispühl Rna 25 (12), 1579-1591, 2019 | 6 | 2019 |
| Structure-and function-aware substitution matrices via learnable graph matching P Pellizzoni^, C Oliver^, K Borgwardt International Conference on Research in Computational Molecular Biology, 288-307, 2024 | 5* | 2024 |
| Approximate network motif mining via graph learning C Oliver, D Chen, V Mallet, P Philippopoulos, K Borgwardt arXiv preprint arXiv:2206.01008, 2022 | 5 | 2022 |
| A Comprehensive Library for RNA Structure-Function Modeling L Wyss, V Mallet, W Karroucha, K Borgwardt*, C Oliver* ICLR 2025 Workshop on AI for Nucleic Acids, 0 | 2* | |
Jérôme WaldispühlProfessor, School of Computer Science, McGill UniversityVerified email at mcgill.ca
