Browse our latest Computational and Systems Biology articles

The modelled structure of a membrane protein supports the hypothesis that it has a new fold with a channel that allows a chemical group to cross the membrane to decorate surface structures.

Invariant natural killer T (iNKT) cells have some shared yet some distinct metabolic and transcriptional programs for their in vivo effector functions, including a novel population of memory-like regulatory iNKT cells.

Computational methods based on both sequence and structure show evidence that tyrosine kinases are energetically biased to populate the 'DFG-out' type-II inhibitor binding conformation relative to serine/threonine kinases.

Bayesian inference identifies hidden dynamics underlying noisy cell division data.

Circulating immune cells reflect intra-tumoural immunity and can predict response to systemic therapy in head and neck cancer.

Networked cardiac control, revealed through analysis of extended baseline-state multi-channel recordings, differentiates heart failure and normal regimes highlighting the promise of peripheral neurally based clinical interventions.

Integrating chromatin accessibility and gene expression data into context-specific regulatory networks can provide better regulatory categories for heritability enrichment and relevant tissue identification.

Human-like color categories emerge in a Deep Neural Network trained only on object recognition.

An example of a deep learning-based strategy to discover novel protein-protein interactions and predict their complex structures at high accuracy.

Combining transcriptomic data with the analysis of large genome-wide association studies helps identify genes that are likely important for regulating bone mineral density.