Browse our latest Computational and Systems Biology articles

High-throughput measurements of simplified bacterial communities find that when multiple species jointly inhibit a focal species of interest, their individual effects do not add up, but are dominated by the strongest single-species effect.

The inclusion of the patient couple's clinical features along with blastocyst images increases live birth prediction accuracy.

Aging and the duration of epilepsy can intensify the high-frequency desynchronization between the epileptogenic zone and the rest of the brain in early to mid-seizure.

The benefits of integrating cross-species systems genetics platforms to advance knowledge in the underlying mechanisms that drive cardiometabolic diseases have been investigated.

A machine learning model predicts the properties of proteins from their amino acid sequences and can run in a user's web browser.

An iterative procedure using language models allows the generation of sequences from protein families, which score similarly to natural and experimentally validated sequences, with particular promise for small families.

XTABLE is the first easy-to-use bioinformatic solution that has been conceived and designed solely to interrogate the transcriptomes of premalignant stages of lung squamous cell carcinoma (LUSC) and enhance the development of LUSC prevention and detection strategies.

Humans often walk in relatively brief bouts whose speed and duration vary dynamically and satisfy an optimal trade-off between effort and time.

Mathematical analyses explore the impact of co-substrate cycling on the dynamics of cellular metabolism, and demonstrate that these dynamics can limit cellular fluxes and that co-substrate pool dynamics can be regulated to regulate fluxes.

Retinal physiology and anatomy and visual behavior reveal how sensory circuits in the retina can shape an organism’s eye movements over a range of ethologically relevant stimulus conditions.