An interpretable machine learning approach can recapitulate the molecular features associated to immune protein-protein binding and leverage them for the prediction of immune response specificity.

The InsectBrain Database is a novel, freely available software tool designed to accelerate research in the field of insect neuroscience and to improve implementation of open data concepts.

The eIF3 translation initiation complex exerts specific regulation on neuronal protein levels by targeting mRNAs with GC-rich 5' UTR.

An open-source software tool enables the anatomical parcellation of an unprecedented number of subcortical structures in magnetic resonance images of the human brain, automatically and in individual subjects.

Hybrid brain network models predict neurophysiological processes that link structural and functional empirical data across scales and modalities in order to better understand neural information processing and its relation to brain function.

Close friend quantity is nonlinearly associated with various mental health and cognitive outcomes in children and could be partly explained by the structure of the social brain and the endogenous opioid system.

Studies of heterogeneity in healthy brain aging reveal varying susceptibilities to aging and delayed development, which deepen aging-development understanding and promote prediction and diagnosis of cognitive decline and neurodegenerative diseases.

The combination of deep learning with whole-brain computational models reveals the low-dimensional representation of neurodegenerative diseases, which emerges from a highly multidimensional brain, providing valuable insight into pathological states' diagnostic, prognosis, and treatment response.

A new genomic method called MChIP-C measures H3K4me3-associated chromatin interactions with extremely high resolution and sensitivity, detecting interactions in over 60% of functionally verified enhancer-promoter pairs.

A computational tool developed to construct three-dimensional anatomical atlases from two-dimensional data generates volumetrically complete and aligned atlases for all stages of development in the Allen Developing Mouse Brain Atlas.