Browse our latest Computational and Systems Biology articles

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.

The functional network of β-cells in the pancreatic islet, which has been used to identify important subpopulations of β-cells implicated in diabetes progression, is indicative of intrinsic dynamics rather than structural communication, implying islet robustness.

Numerous pathways/function predictions were identified via gene sets, phosphopeptides, and phosphoproteins, which may point to potential novel therapeutic targets to enhance heart adaptivity, maintaining heart performance while avoiding cardiac dysfunction.

There is a significant disadvantage to receive a major grant (i.e., R01) for K99/R00 awardees that are women, those at lower funded institutions, and those with lower career mobility.