| 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 | 57 | 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 | 34 | 2020 |
| 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 | 19 | 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 | 18 | 2017 |
| 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 | 16 | 2020 |
| 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 | 15 | 2022 |
| Difficulty Scaling in Proof of Work for Decentralized Problem Solving P Philippopoulos, A Ricottone, CG Oliver Ledger 5, 2020 | 9 | 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 | 8 | 2022 |
| 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, 1-9, 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 |
| Approximate network motif mining via graph learning C Oliver, D Chen, V Mallet, P Philippopoulos, K Borgwardt arXiv preprint arXiv:2206.01008, 2022 | 4 | 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 | 4 | 2018 |
| Unsupervised manifold alignment with joint multidimensional scaling D Chen, B Fan, C Oliver, K Borgwardt arXiv preprint arXiv:2207.02968, 2022 | 3 | 2022 |
| 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, 2024 | 2 | 2024 |
| 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 | 1 | 2023 |
| 3D-based RNA function prediction tools in rnaglib C Oliver, V Mallet, J Waldispühl arXiv preprint arXiv:2402.09330, 2024 | | 2024 |
| Endowing Protein Language Models with Structural Knowledge D Chen, P Hartout, P Pellizzoni, C Oliver, K Borgwardt arXiv preprint arXiv:2401.14819, 2024 | | 2024 |
| Semi-supervised learning and large-scale docking data accelerate RNA virtual screening JG Carvajal-Patino, V Mallet, D Becerra, LF Nino, C Oliver, J Waldispuhl bioRxiv, 2023.11. 23.568394, 2023 | | 2023 |
| Unsupervised Manifold Alignment with Joint Multidimensional Scaling. arXiv. doi: 10.48550 D Chen, B Fan, C Oliver, K Borgwardt arXiv preprint arXiv.2207.02968, 2022 | | 2022 |
Jérôme WaldispühlAssociate Professor of Computer Science, McGill UniversityVerified email at mcgill.ca
