Ludwig Lautenbacher

@llautenbacher.bsky.social

Excited to share our new Prosit-PTM paper is out! A deep learning model that predicts MS2 spectra and Retention time for modified peptides, using chemically informed encodings and data augmentation based on amino acid substitution to learn general rules for how PTMs affect spectra.

PastelBio@pastelbio.bsky.social · 11mo ago

News in Proteomics Research blog post | Prosit-PTM! Deep learn modified peptides??? proteomicsnews.blogs... --- #proteomics #prot-other

Did you ever come across a phosphosite in your proteomics data for which nothing was known? - I bet so! We have developed a new strategy termed "potency coherence analysis" that leverages the drug potency dimension in decryptM to decode the kinases that shape the human phosphoproteome. Read more:

Chemical proteomics decrypts the kinases that shape the dynamic human phosphoproteome

Mass-spectrometry-based phosphoproteomics enables the analysis of thousands of protein phosphorylation events across the human proteome. However, there is a lack of scalable, hypothesis-free, and stat...

doi.org

Excited our paper is out in Cell @cp-cell.bsky.social! 🧬⚡ DNA photo-crosslinking proteomics in living cells 🎯 Pinpoints protein-DNA interactions to single amino acids 🌎 Globally quantifies DNA binding for >1800 proteins at a timescale of minutes 🔗 www.cell.com/cell/fulltex... 🧵

The human proteome with direct physical access to DNA

Zero-distance photo-crosslinking reveals direct protein-DNA interactions in living cells, enabling quantitative analysis of the DNA-interacting proteome on a timescale of minutes with single-amino-aci...

cell.com