IDPfun2 Workshop 1: Computational Tools for the Prediction of Intrinsic Disorder in Proteins
This session will introduce the concept of Intrinsically Disordered Proteins (IDPs) and explore how modern bioinformatics and AI-based tools can identify and characterize these regions directly from protein sequences. Through accessible examples and practical applications, participants will learn how computational predictions can help us better understand protein function, regulation, and their roles in health and disease.
Schedule: November 13, 9:00–10:30 (1.5 hours). Venue: Cero+Infinito, FCEN-UBA, Ciudad Universitaria, Buenos Aires.
Trainer: Gábor Erdős (ELTE, Hungary). Places: 40.
Requirements: No prerequisites. Computers and internet access will be provided.
Registration deadline: Course registration will be open until all slots fill up. Acceptance: Notification for late registrants will be given on Monday November 9th.
This course is free of charge for all attendees.
Short bio
Gábor Erdős is an Assistant Professor at Eötvös Loránd University (ELTE) and Principal Investigator of the ELTE Protein Dynamics Research Group. His research combines artificial intelligence, biophysics and machine learning to study intrinsically disordered and multistate proteins.




















