(1/5)
Excited to share our latest preprint! We reveal how intrinsically disordered protein regions (IDRs) harbor critical pathogenic mutations, often overlooked in clinical genomics. 🧬
https://t.co/IoNHnPiJPz
#Genomics#Bioinformatics#AlphaMissense#IDPs#Dlab#IDP2Biomed
I'm excited to share that our latest manuscript accepted and published in @JMolBiol. We created AIUPred-binding which use energy embedding and AlphaMissense scores to accurately predict functional binding regions. https://t.co/XnW6zpI8cO
#IDP2Biomed, #Dosztanyilab
📢 Excited to announce the 3rd ML4NGP Meeting on Machine Learning and Non-Globular Proteins! 🎉 Join us in Vilnius, Lithuania 🇱🇹, from May 20-23, 2025. 🗓️ Abstract submissions open until March 3, 2025. 📝 More info: https://t.co/b47CHiBcOx #ML4NGP2025
The #ML4NGP Training School has officially started!
We began with an excellent intro to #NMR basic principles by Lukáš Zidek, setting the stage for an exciting week🤩
Now, participants are exploring the #NMR facilities at @CEITEC_Brno!
#CEITECScience#NGP
Last 4 days to submit your work to the 3DSig/3DBioinfo meeting in Spain (March 19-21)! We already received great abstracts and our reviewers are ready to select the ones to be speakers! Do not miss the chance to present your research at this great event!!!
https://t.co/m7DBIM7nOh
Excited to announce the Kick off Meeting of IDPfun2!
Over the next four years we will further investigate #IDPs synergizing with other EU initiatives like #IDP2Biomed, @ml4ngp and #ELIXIR_STEERS 🌎🔬
Stay tuned to find out the partners of our consortium and IDPfun2's goals
🚀 Excited to announce our latest paper just published! Discover new insights into protein disorder and prediction methods in computational biology. https://t.co/FjWVmt1Zop #DosztányiLAB#Bioinformatics#IDPs#ProteinResearch
We have an open
#phdposition in
#bioinformatics#computational_biology in the context of the Marie Curie ETN "IDPro" (https://t.co/VJniXOguxY), with a focus on intrinsic disorder and short linear motifs. More info and apply here:
https://t.co/hL53SC5bfX
Deadline extended!
We built a fast and memory efficient implementation in PyTorch, all under an Apache 2.0 license. In the process of building this model, we uncovered several discrepancies of the pseudocode with the deep learning literature. These are listed below. (3/11)
We have an open #phdposition in #bioinformatics & #computational_biology in the context of the Marie Curie ETN "IDPro" (https://t.co/4pQ8iZm12G), with a focus on intrinsic disorder and short linear motifs. More info and apply here:
https://t.co/5XIffRoqwU
#FullyFundedPhD
Since @Nature asked for comments on their editorial attempting to justify (and failing miserably) their decision to publish a whitepaper as a peer-reviewed article, I sent them my thoughts. Attached.
Wrapping up an incredible #ML4NGPmeeting in Thessaloniki!
Thank you to all our speakers and participants for making it an unforgettable event with such brilliant talks and active participation! Together, we're advancing the field of #machinelearning for #NGPs.
See you soon! 👏
Almost ending our last day at #ML4NGPmeeting!
What a fantastic line up of speakers! 🤩
From new peptide repositories for #Parkinson and AlphaFold2-Multimer for protein interaction prediction to #deeplearning approaches for characterizing #protein folding, we got all covered! 👏
Yesterday we featured insights from CAID round 3, an innovative method to uncover allosteric pathways, and a cutting-edge #neuralnetwork for direct potential energy prediction from #protein sequences!
And we finished the day with the 2nd poster session! 🤩
#ML4NGPmeeting
(1/5) A major DisProt update to better characterize #IDPs 🎉
✅adoption of Gene Ontology (@news4go) to annotate interactions and functions
✅integration of Evidence and Conclusion Ontology (@ecoontology)
✅new, better defined IDPontology terms