#Proteomics

RSS

  • (no title)
    Impact of Supercharging on Top-Down Characterization of Monoclonal Antibodies by Collision Induced Dissociation https://www.sciencedirect.com/science/article/abs/pii/S1387380626000096?dgcid=rss_sd_all&utm_medium=twitter&utm_source=dlvr.it—#proteomics #prot-paper
  • (no title)
    Higher-Throughput Proteome Profiling Enabled by Parallelized Pre-Accumulation and Optimized Ion Processing in the Orbitrap Astral Zoom Mass Spectrometer https://www.sciencedirect.com/science/article/pii/S1535947625006036?dgcid=rss_sd_all—#proteomics #prot-paper
  • (no title)
    AutoPELSA: an automated sample preparation system for proteome-wide identification of target proteins of diverse ligands https://www.biorxiv.org/content/10.64898/2026.01.08.697612v1.full.pdf+html—#proteomics #prot-preprint
  • (no title)
    AI-based analysis of proteomics data for health status prediction and intervention effect. https://www.ukbiobank.ac.uk/projects/ai-based-analysis-of-proteomics-data-for-health-status-prediction-and-intervention-effect/—#proteomics #prot-other
  • (no title)
    Enhancing Sensitivity in Targeted Single-Cell Proteomics by Coupling a Dual Ion Funnel Interface with Triple Quadrupole Mass Spectrometer https://www.biorxiv.org/content/10.64898/2026.01.02.697431v1.full.pdf+html—#proteomics #prot-preprint
  • (no title)
    Expanding High-Fidelity Multiplexing in Ultrasensitive Single-Molecule Protein Detection via Proximity Barcoding https://www.biorxiv.org/content/10.64898/2026.01.03.697469v1.full.pdf+html—#proteomics #prot-preprint
  • (no title)
    Hello #Proteomics !Thinking about a better mzML to store proteomics data, but not convinced by the #parquet approach, I've converted it into #CBOR :* Smaller data files (only 66% of the mzML original file) for the exact same data* Faster to read (25s for a big mzML vs 18s in mzcbor on the same computer)* Very quick random access to spectra (24.6577 ms for mzML vs 786.731 μs for mzcbor for the same operation using index)I'd like to share it if you are interested at #eubIC #eubic2026
  • (no title)
    Multiplexed Data-Independent Acquisition (mDIA) to Profile Extracellular Vesicle Proteomes https://www.sciencedirect.com/science/article/pii/S1535947626000022?dgcid=rss_sd_all—#proteomics #prot-paper
  • (no title)
    Proteomics in Fish Health and Aquaculture https://link.springer.com/chapter/10.1007/978-981-95-2573-7_8—#proteomics #prot-paper
  • (no title)
    Single-molecule identification of full-length proteins with single-amino-acid resolution using nanopores https://www.biorxiv.org/content/10.64898/2026.01.08.698148v1.full.pdf+html—#proteomics #prot-preprint
  • (no title)
    Deep Learning-Driven Fragment Ion Selection for Improved Quantification in MS based Proteomics https://www.biorxiv.org/content/10.64898/2026.01.08.698341v1.full.pdf+html—#proteomics #prot-preprint
  • (no title)
    Unlocking Ultrasensitive Phosphoproteomics of Nanoscale Samples: A Rapid IMAC Enrichment Platform Using Ti-PAN Tip https://www.biorxiv.org/content/10.64898/2026.01.08.698355v1.full.pdf+html—#proteomics #prot-preprint

Related Feeds