Bioinformatics | Proteomics | Structural Biology Deep Learning Enables Automatic Correction of Experimental HDX-MS Data with Applications in Protein Modeling. January 23, 2024
Drug Mechanisms | Protein Interaction Dynamics | Proteomics Deep learning based CETSA feature prediction cross multiple cell lines with latent space representation. January 22, 2024
Exposomics | Metabolomics IDSL_MINT: a deep learning framework to predict molecular fingerprints from mass spectra. January 18, 2024
Bioinformatics | Proteomics Exploiting Charge State Distribution To Probe Intramolecular Interactions in Gas-Phase Phosphopeptides and Enhance Proteomics Analyses. January 6, 2024
Bioinformatics | Computational Biology | Oncology Deep learning prediction boosts phosphoproteomics-based discoveries through improved phosphopeptide identification. December 28, 2023
Bioinformatics | Proteomics Integration of single-cell proteomic datasets through distinctive proteins in cell clusters. December 22, 2023
Immunology | Structural Biology Modelling the assembly and flexibility of antibody structures. December 20, 2023
Biochemistry GlAIcomics: a deep neural network classifier for spectroscopy-augmented mass spectrometric glycans data. December 13, 2023
Bioinformatics | Chemistry | Metabolomics Deep Learning Based Metabolite Annotation. December 12, 2023
Metabolomics | Oncology | Proteomics DeepRTAlign: toward accurate retention time alignment for large cohort mass spectrometry data analysis. December 11, 2023
Biomedical Research | Clinical Chemistry | Systems Biology The Emerging Potential of Advanced Targeted Mass Spectrometry to Become a Routine Tool for Protein Quantification in Biomedical Research. December 9, 2023
Bioinformatics | Proteomics Merging Full-Spectrum and Fragment Ion Intensity Predictions from Deep Learning for High-Quality Spectral Libraries. November 1, 2023