Browse our latest Computational and Systems Biology articles

Genetic background and dietary environment interact to reshape metabolic signalling networks, and the resulting signalling diversity can illuminate regulatory mechanisms of complex traits.

KinCytE is a web-based platform that explores kinase-cytokine-driven signaling and its relevance to understanding and treating diseases linked to disruptions in these pathways.

The PrEDiCT scheme infers disease-affected cell types from the expression of disease-associated genes in single-cell expression atlases, thereby providing cellular context and enhancing mechanistic understanding for 328 Mendelian diseases.

A computational method has been developed for predicting the cell-type-specific binding of transcription factors to nucleosomes, and involves integration of ChIP-seq, MNase-seq, and DNase-seq data with details of nucleosome structure.

The secretion of insulin from the pancreas relies on both gap junctions and subpopulations of beta cells with specific intrinsic properties.

Unveiling the high-confidence protein–protein interaction networks of human and fly α-arrestins provides insights into conserved and species-specific functional roles depending on their protein domains and motifs.

The LOVdeg tag is a versatile tool for bacterial optogenetics, offering modular, blue light-inducible protein degradation for a range of synthetic biology and metabolic engineering applications.