Browse our latest Computational and Systems Biology articles

A novel mathematical method for screening new drugs for pro-arrhythmic cardiotoxicity without using animals or costly drug-specific computer simulations is proposed.

Cross-species multiomics network modeling revealed tissue-specific regulatory genes, pathways, and networks shared between mouse and human or unique to each species for atherosclerosis and coronary artery disease.

A deep analysis of multiple genomic datasets reveals which genetic pathways associated with atherosclerosis and coronary artery disease are shared between mice and humans.

Candida albicans cells respond in two distinct ways to fluconazole exposure where cells enter the Ribo-dominant state characterized by an upregulation of ribosomal-related proteins and processes, or cells enter the Stress-dominant state characterized by the upregulation of stress responses.

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.