Browse our latest Computational and Systems Biology articles

The recent developments in large-scale machine learning, especially with the recent Transformer models, display much potential for solving computational problems within protein biology and outcompete traditional computational methods in many recent studies and benchmarks.

A flexible transcription initiation architecture and a uniform regulatory grammar buffer expression variability and the effects of genetic variants on essential genes while a rigid transcription initiation architecture and a diverse regulatory grammar ensure condition-specific responsiveness of other genes.

The maintenance of skeletal muscle function improves the quality of life, and therefore understanding how changes in the genome drive changes in the skeletal muscle proteome has revealed novel regulators of muscle physiology.

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.