P. Beltrao

A nucleolar assembly module integrates an ancestral isoaspartylase to safeguard ribosome biogenesis

A Multi-Omics Framework Reveals Phosphorylation-Dependent Control of Protein Interactions

A nested linear regression model is applied to pan-cancer data from 1,006 tumours and reveals a widespread coupling between phosphorylation and interaction-dependent protein abundance and provides a prioritized, structure-informed resource for characterizing the human phosphoproteome.

Leveraging multiplicity in biologically informed neural networks to uncover disease heterogeneity

Analysis of the space of BINN explanations can turn multiplicity into a tool for studying complex disease mechanisms, and across 100 replicate BINNs for type 2 diabetes, the authors find distinct solution clusters prioritizing either inflammatory or hepatic-metabolic pathways.

Autism mutations rewire protein interaction networks to drive neurodevelopmental pathology.

Overall, these findings link genetic variation to protein networks and convergent neurodevelopmental dysfunction in ASD.

Capabilities, specificity gaps and training-data dependence of AlphaFold3 across diverse application areas

It is found that, while AF3 can perform well in favourable settings, this performance is uneven across applications and its predictions and use of confidence metrics will depend strongly on the specific application area and must be interpreted with respect to training-set overlap.