Speaker
Dr
Sergio Alejandro Alejandro Poveda
(Goethe University)
Description
We developed an integrative pipeline that combines multi-omics data, structural screening, AlphaFold2 modeling, and all-atom molecular dynamics to identify and characterize selective autophagy receptors (SARs). The framework enables rapid screening of canonical LIR-LDS interactions by scoring motif-based residue contacts and pocket occlusion across experimental structures, AF2 models, and MD trajectories. Our analysis reveals family-specific LIR-LDS and UIM-UDS binding patterns and shows how UDS mutations and post-translational modifications modulate SAR-hATG8 engagement.