Elizabeth Martínez‐Pérez

The paper develops a pipeline to transfer annotations between disordered proteins using orthologs and multiple sequence alignments, expanding the availability of annotations beyond globular domains.

DisPhaseDB integrates disease-related variants of LLPS proteins and MLO-associated proteins across 10 databases, providing a comprehensive resource for analysis and further research.

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.