Congratulations, Mikhail Savitski!👏 Savitski has received the HUPO Discovery in Proteomic Sciences Award for developing Thermal Proteome Profiling, an unbiased proteomics approach for identifying protein targets of drugs and phenotyping cellular states. embl.org/news/awards-ho…

💫NEW: Saez-Rodriguez Group, Julio Saez-Rodriguez, @DanielBDimitrov & co present LIANA+, a framework that unifies and extends approaches to study inter- and intracellular signalling from diverse mediators, captured from #SingleCell, spatially resolved and #multiomics data. nature.com/articles/s4155…

Kidney fibrosis as a molecular process is poorly understood. In this new study together w/ Pepperkok lab @EMBL, we present a time-resolved #multiomics + computational network modeling approach in combination w/ phenotypic assays to study #kidneyfibrosis tinyurl.com/multiomicsCKD

Big congrats to Nadine Tüchler on her amazing PhD work! 🎊 It was a privilege to collaborate closely and now see this final result. If you're interested in #multiomics integration or #kidneyfibrosis, check it out! ⬇️

Wonderful work! Network integration of multiomics to shed light on the molecular basis of kidney fibrosis. Kudos to the 🇦🇹 team Nadine Tüchler and Mira Burtscher

How good is our understanding of signaling pathways? In this study together w/ Savitski Lab @EMBL, we combine multiple state-of-the-art resources to evaluate signaling pathway inference using phosphoproteomics and kinase-substrate networks tinyurl.com/2n43jsc4

Very excited about this joint work with Saez-Rodriguez Group !

Wonderful work by Martín Garrido Rordríguez-Córdoba🎈 Happy to have helped a bit, but happier to use this ⬇️ in future!

Employing a library of >1,000 chemicals, EMBL scientists investigated effects on insect populations. They found 57% of chemicals – even in amounts known not to be fatal – altered fruit fly larvae behaviour. Higher percentages impacted long-term survival embl.org/news/science-t…

Amazing work from my friend and colleague @JustinMCrocker . Happy we could contribute with phosphoproteomics, performed by clement potel and analyzed by Martín Garrido Rordríguez-Córdoba

Check it out 🔽 doi.org/10.1126/scienc…

📢 Introducing CORNETO: a unified, knowledge-driven framework for multi-sample network learning & modeling via constrained optimization, supporting a wide variety of network methods and prior knowledge 💻Code: github.com/saezlab/corneto 📜Paper: doi.org/10.1101/2024.1… 🧵👇

Interested in predicting transcriptomic effects of perturbations? Check out our NeurIPS Conference D&B spotlight living perturbation prediction benchmark & new drug perturbation dataset: - paper: openreview.net/forum?id=WTI4R… ! - benchmarking platform: openproblems.bio/results/pertur…🧵1/8

Nice to see our ScAPE ML model github.com/scapeML/scape as one of the best predictive models of this Kaggle challenge, now as part of the official baselines! Martín Garrido Rordríguez-Córdoba. Thanks to the organizers for this amazing competition.

Very cool to see our model scAPE perform so well in this benchmark Pablo Rodríguez Mier ! Thanks to the organizers for this amazing competition.

We present NetworkCommons, a unified platform 🪐 for network biology, providing access to omics data, knowledge, and contextualization methods, all with a consistent API 👇 Paper: doi.org/10.1101/2024.1… Docs: networkcommons.readthedocs.io

🎉 The revised version of CORNETO, our unified Python framework for knowledge-driven network inference from omics data, is published in peer reviewed form 🔗 Paper: nature.com/articles/s4225… 📖 News & Views: nature.com/articles/s4225… 💻 Code: corneto.org 🧵 Thread 👇