Browse our latest Computational and Systems Biology articles

The analysis of T cell movement in multiple tissues (lymph node, villi, and lung under two different inflammatory conditions) sheds new light on how T cells navigate different tissue environments to improve immunity and search processes.

A comprehensive comparison of the two types of pancreatic cancer symptom trajectories can in combination leverage a fuller potential of large health data and ultimately aid the detection of early risk factors for pancreatic cancer.

Systems genetics is a powerful approach that links DNA variation to complex clinical and physiological traits through the integration of intermediate phenotypes, such as RNA, protein, and metabolite levels.

Computational models and mutagenesis study reveal a conserved carbohydrate recognition motif of two therapeutically important purinergic receptors to help understand the carbohydrate regulation of G-protein coupled receptors.

Coccinella, an open-source framework, combines real-time tracking on microcomputers with statistical learning, optimising behaviour analysis in Drosophila melanogaster while surpassing other advanced systems in throughput and performance.

High-throughput systemic approaches on long-term trends identify the environmental factors that cause loss of biodiversity and disrupt ecosystem functions.

Mathematical modeling shows how RAF inhibitors can actually activate RAF kinases by stabilizing RAF proteins in the conformation capable of dimerization.

The cellular membrane competes with Abl for myristoyl binding to stabilize the preactivated state and enhance allosteric activation.

Isoform-specific variations in doublecortin-like kinases offer a new framework for understanding kinome-wide modulation of protein stability and catalytic activity.