Vasilis J. Promponas

LIRcentral is a manually curated database of experimentally validated LIR-motifs, providing resources for wet lab and computational research on autophagy-related proteins.

The paper evaluates 43 methods for predicting intrinsically disordered regions and binding regions in proteins, finding that deep learning methods outperform older physicochemical approaches but binding prediction remains challenging.

The paper identifies conserved sequence patterns in eukaryotic endomembrane coatomers, revealing a common ancestry through divergent evolution.