Publications
* = equal contribution
' = co-corresponding
Journal
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Endowing protein language models with structural knowledge Philip Hartout*, Dexiong Chen*, Paolo Pellizzoni, Carlos Oliver, and Karsten Borgwardt Bioinformatics, 41(11):btaf582, 2025 (preprint) (article)
Protein Structure-Function
Graphs
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RNAmigos2: accelerated structure-based RNA virtual screening with deep graph learning Juan G. Carvajal Patiño*, Vincent Mallet*, David Becerra, L. Fernando Niño V, Carlos Oliver', Jerome Waldispuhl' Nature Communications 2025 (preprint) (article)
RNA Structure-Function
Drug Discovery
Graphs
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Multimodal learning in clinical proteomics: enhancing antimicrobial resistance models with chemical information Giovanni Visonà*, Diane Duroux*, Lucas Miranda, Emese Sükei, Yiran Li, Karsten Borgwardt', and Carlos Oliver' Bioinformatics (2023) (paper)
Drug Discovery
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RNAGlib: A Python Package for RNA 2.5D Graphs Vincent Mallet, Carlos Oliver, Jonathan Broadbent, William L. Hamilton, Jerome Waldispuhl Bioinformatics (2021) (preprint | article)
RNA Structure-Function
Graphs
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OptiMol: Optimization of binding affinities in chemical space for drug discovery Jacques Boitreaud, Vincent Mallet, Carlos Oliver, Jerome Waldispuhl ACS JCIM (2020) (article | preprint)
Drug Discovery
Graphs
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Augmented RNA base pairing networks imprint small molecule binding preferences Carlos Oliver, Vincent Mallet, Roman Sarrazin Gendron, Vladimir Reinharz, William L. Hamilton, Nicolas Moitessier, Jerome Waldispuhl Nucleic Acids Research (2020) (article | preprint)
RNA Structure-Function
Drug Discovery
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Difficulty Scaling in Proof of Work for Decentralized Problem Solving Pericles Philippopoulos, Alessandro Ricottone, Carlos Oliver Ledger Journal (2020) (article) |
Perspectives
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What's so hard about RNA-targeting drug discovery? Carlos Oliver, Jerome Waldispuhl Nature Computational Science, 2025 (article)
RNA Structure-Function
Drug Discovery
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Reviews
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Machine learning for RNA-targeting drug design Wissam Karroucha, Carlos Oliver, Veronique Stoven, Vincent Mallet Journal of Chemical Information and Modeling (in revision), 2025 (preprint)
RNA Structure-Function
Drug Discovery
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Conference
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Structure-and function-aware substitution matrices via learnable graph matching Paolo Pellizzoni*, Carlos Oliver*, Karsten Borgwardt RECOMB (2024) (proceedings)
Protein Structure-Function
Graphs
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ProteinShake: Building Datasets and Benchmarks for Deep Learning on Protein Structures Tim Kucera*, Carlos Oliver*, Dexiong Chen, Karsten Borgwardt NeurIPS Datasets and Benchmarks (2023) (preprint)
Protein Structure-Function
Benchmarks
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Unsupervised Manifold Alignment with Joint Multidimensional Scaling Dexiong Chen, Bowen Fan, Carlos Oliver, Karsten Borgwardt ICLR 2022 (preprint)
Graphs
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VeRNAl: A tool for fuzzy network motif mining in RNA Carlos Oliver, Vincent Mallet, Pericles Philippopoulos, William L. Hamilton, Jerome Waldispuhl RECOMB 2021 & Bioinformatics (preprint | article)
RNA Structure-Function
Motif Mining
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Stochastic Sampling of Structural Contexts Improves the Scalability and Accuracy of RNA 3D Module Identification Roman Sarrazin Gendron, Hua-Ting Yao, Vladimir Reinharz, Carlos Oliver, Yann Pony, Jerome Waldispuhl Accepted at RECOMB 2020 (preprint)
RNA Structure-Function
Motif Mining
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Workshop
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BioBlobs: Unsupervised Discovery of Functional Substructures for Protein Function Prediction Xin (Allen) Wang, Kaiwen Shi, Carlos Oliver Workshop on Machine Learning for Structural Biology, 2025 (Accepted) (preprint)
Protein Structure-Function
Motif Mining
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A Comprehensive Benchmark for RNA 3D Structure-Function Modeling Luis Wyss*, Vincent Mallet*, Wissam Karroucha, Karsten Borgwardt', Carlos Oliver' ICLR 2025 Workshop on AI for Nucleic Acids (preprint)
RNA Structure-Function
Benchmarks
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Preprints
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ENSEMBITS: an alphabet of protein conformational ensembles Kaiwen Shi, Carlos Oliver Submitted, NeurIPS 2026 (preprint)
Protein Dynamics
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BioBlobs: Unsupervised Discovery of Functional Substructures for Protein Function Prediction Xin (Allen) Wang, Kaiwen Shi, Carlos Oliver Submitted, NeurIPS 2026 (preprint)
Protein Structure-Function
Motif Mining
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3D-based RNA function prediction with rnaglib Carlos Oliver, Vincent Mallet, and Jerome Waldispuhl arXiV (2024), to appear as book chapter in Springer Nature: Methods in Molecular Biology (preprint)
RNA Structure-Function
Graphs
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Approximate Network Motif Mining via Graph Learning Carlos Oliver, Dexiong Chen, Vincent Mallet, Pericles Philippopoulos, Karsten Borgwardt ArXiV (2022) (preprint)
Graphs
Motif Mining
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Edge Similarity-Aware Graph Neural Networks Vincent Mallet, Carlos Oliver, William L. Hamilton arXiv (2021) (preprint)
Graphs
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Leveraging binding site structure for drug discovery with point-cloud methods Vincent Mallet, Carlos Oliver, Nicolas Moitessier, Jerome Waldispuhl arXiv (2019) (preprint)
Drug Discovery
Protein Structure-Function
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