AIUPred - Binding: energy embedding to identify disordered binding regions Intrinsically disordered regions (IDRs) play critical roles in various cellular processes, often mediating interactions through disordered binding reg…

I'm excited to share that our latest manuscript accepted and published in JMB.
We created AIUPred-binding which use energy embedding and AlphaMissense scores to accurately predict functional binding regions in IDRs.
sciencedirect.com/science/arti...

#IDP2Biomed, #Dosztanyilab, @gerdos.bsky.social

ViralPrimer: a Web Server to Monitor Viral Nucleic Acid Amplification Tests’ Primer Efficiency during Pandemics, with Emphasis on SARS-CoV-2 and Mpox AbstractSummary. Accurate pathogen identification is crucial during outbreaks, especially with the emergence of new variants requiring frequent primer upda

🎉 Thrilled to announce that our paper is now accepted in Bioinformatics! 📄🧬✨ A collaborative project enhancing diagnostic accuracy for SARS-CoV-2, Mpox, and more. 🌐🔬 Check it out: viralprimer.elte.hu

Manuscript:
academic.oup.com/bioinformati...

#DosztanyiLAB #Bioinformatics #SARS-CoV-2 #Webserver

Deep learning for intrinsically disordered proteins: From improved predictions to deciphering conformational ensembles Intrinsically disordered proteins (IDPs) lack a stable three-dimensional structure under physiological conditions, challenging traditional structure-b…

🚀 Excited to announce our latest paper just published! Discover new insights into protein disorder and prediction methods in computational biology. Read more here: www.sciencedirect.com/science/arti... #DosztanyiLAB #Bioinformatics #IDPs #ProteinResearch