Cristina Marino‐Buslje

This study identifies multivalent ubiquitin recognition as a regulator of Tau self-assembly stages, showing ubiquitin's role in modulating condensate formation and aggregation.

This study identifies ACA2 as an ER-localized Ca2+ ATPase essential for regulating cytoplasmic Ca2+ levels and root hair growth in Arabidopsis thaliana.

MLOsMetaDB centralizes information on LLPS proteins and membraneless organelles, offering integrated data, advanced search, and evolutionary insights across species.

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.

The paper develops a low-cost NGS gene panel for diagnosing intellectual disability and autism spectrum disorder, achieving a 27% diagnostic yield in 150 patients.

This study shows that structural divergence affects conservation and covariation estimates in protein families, suggesting that using multiple structures improves the interpretation of evolutionary signals.

This paper investigates how conformational diversity affects the correlation between sequence and structural divergence in homology modeling, finding that it reduces correlation and that order/disorder can improve model performance.