Kejia Li

@kejiali.bsky.social

Postdoc in Savitski lab, EMBL, Heidelberg. Interested in functional proteomics, microbiology, metabolism, and drug target discovery.

It is interesting that the different specificities of sponge proteins to signaling molecules may explain different mechanisms in the phage-bacteria arms race.

Romi Hadary@romihadary.bsky.social · 4mo ago

Excited to see our work out in @natmicrobiol.nature.com! We uncovered broad functional diversity within phage sponge families🧽. Huge thanks to all coauthors and brilliant collaborators @kranzuschlab.bsky.social @reneechang.bsky.social ! www.nature.com/articles/s41...

One of the main stories of my postdoc is finally out! It builds on an intuition from my early days in omics data analysis: our signaling pathways are simply too small, underrepresenting cellular complexity after stimulation. Something obvious, yet surprisingly hard to quantify.

Saez-Rodriguez Group@saezlab.bsky.social · 7mo ago

Interested in kinase-driven signaling interactions? Check out our (now peer-reviewed) paper together with @savitski-lab.bsky.social on reconstructing signaling networks from phosphoproteomics data and prior knowledge: ➡️ doi.org/10.1038/s414...

When I first learned about omics at university, I confidently stopped caring about single proteins. Fast-forward 4 years of a system’s biology PhD, I now have the most amazing favorite single protein which I can’t stop thinking about. Here is the story of how that happened 👀

Savitski Lab@savitski-lab.bsky.social · 8mo ago

Rewiring of oncogenic signaling in #DrugResistance is a moving target. In our new study, we used biophysical phosphoproteomics to investigate #BRAF mutant cancer, linking phosphorylation changes to protein function and #MolecularMechanisms through #Multi-Omics integration. tinyurl.com/funsignaling

In a new Science study, researchers introduce DrugCLIP, a contrastive learning framework that virtually screens small molecules and protein pockets, analyzing protein-ligand interactions 10 million times faster than most standard molecular docking approaches. https://scim.ag/45FfSj2

Deep contrastive learning enables genome-wide virtual screening

Recent breakthroughs in protein structure prediction have opened new avenues for genome-wide drug discovery, yet existing virtual screening methods remain computationally prohibitive. We present DrugC...

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After working on proteomics for eight years, first time to present a poster but at an AI symposium😅 Happy to know, always happy to learn #AI in drug discovery & development

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Joined a conference talk a week ago in EMBL, which introduced how mammal cells detoxify m6A and how the accumulation influences metabolism. Was wondering how about bacteria. What’s the function of m6A or m6dA in Ecoli. Very in-time preprint 👋

Sorek Lab@soreklab.bsky.social · 11mo ago

Preprint: Bacteria sense virus-induced genome degradation via methylated mononucleotides tinyurl.com/ch3damp We show how molecular byproducts released during virus-induced cell exploitation are used as signals to trigger host immunity Revealed by the amazing Ilya Osterman. See his thread below👇

HT-PELSA, a new proteomics tool by EMBL researchers, processes samples 100x faster and works directly with complex crude cell, tissue, and bacterial lysates – developments which could accelerate drug discovery and basic biological research 💊 🔗 www.embl.org/news/science...

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