Browse our latest Computational and Systems Biology articles

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.

Predictive cognitive maps can be learned during behavior and replays using in spiking neurons.

Multi-omics-driven patient stratification identify at-risk profile of metabolic complications in people living with HIV on suppressive therapy that need clinical attention.

The information stored in glycans is interpreted and read by cell surface-exposed lectin receptors, and with information theory, the formal framework is set for how to analyze such complex single-cell data.