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mass spectrometry

22 papers

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MS

Co-occurring keywords · papers mentioning both

peptide sequencing (9) deep learning (5) protein identification (4) molecular generation (3) generative model (3) contrastive learning (3) de novo peptide sequencing (2) graph neural network (2) post-translational modification (2) de novo sequencing (2)

Papers

Breaking the Modality Barrier: Generative Modeling for Accurate Molecule Retrieval from Mass Spectra AAAI 2026 De Novo Molecular Generation from Mass Spectra via Many-Body Enhanced Diffusion AAAI 2026 MSAnchor: De Novo Molecular Generation from Mass Spectrometry Data with Anchor-Extended Molecular Scaffolds AAAI 2026 Regressor-guided Diffusion Model for De Novo Peptide Sequencing with Explicit Mass Control AAAI 2026 Unsupervised Combinatorial Probabilistic Reasoning: Probabilistic Coin Change Problem AAAI 2026 A Comprehensive and Systematic Review for Deep Learning-Based De Novo Peptide Sequencing IJCAI 2025 Bridging the Gap between Database Search and \emph{De Novo} Peptide Sequencing with SearchNovo ICLR 2025 Flowering Time Prediction of Wheat from DIA-MS Data WACV 2025 MADGEN: Mass-Spec attends to De Novo Molecular generation ICLR 2025 ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing ICLR 2025 AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases NeurIPS 2024 ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing AAAI 2024 MassSpecGym: A benchmark for the discovery and identification of molecules NeurIPS 2024 NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics NeurIPS 2024 PROSPECT PTMs: Rich Labeled Tandem Mass Spectrometry Dataset of Modified Peptides for Machine Learning in Proteomics NeurIPS 2024 Efficiently predicting high resolution mass spectra with graph neural networks ICML 2023 Prefix-Tree Decoding for Predicting Mass Spectra from Molecules NeurIPS 2023 De novo mass spectrometry peptide sequencing with a transformer model ICML 2022 Retrieve and Revise: Improving Peptide Identification with Similar Mass Spectra AAAI 2021 Sinkhorn Regression IJCAI 2020 Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra NeurIPS 2018 Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra NeurIPS 2017