Browse our latest Computational and Systems Biology articles

A robust machine learning diagnostic platform utilizing exosome proteins to distinguish various human cancers in diverse biological fluids.

ADeS, a novel deep learning approach for apoptosis detection, achieves 98% accuracy in vitro and in vivo while providing unprecedented insights into the spatial–temporal foundation of cell death.

Genome-scale metabolic models can be used to predict the engraftment of probiotics.

Protein language deep learning models can quickly and accurately translate amino acid sequences into profile hidden Markov models or a structure alphabet, dramatically improving remote homology search sensitivity without compromising space or time efficiency.

NetTCR 2.2 demonstrates advances in predicting MHC-peptide-TCR interactions through integration of pan- and peptide-specific training strategies, loss-scaling and sequence similarity scoring.

A neural circuit model reveals how biological brains may implement rapid learning and navigation in complex spaces.

A novel network information framework quantifies muscle interactions, characterises their task-relevance, and identifies networks of muscles with similar and complementary functional roles.

Comparing tissue-specific plasma cfDNA concentration with cellular turnover rates reveals that less than 10% of dying cells' DNA reaches plasma, highlighting significant local clearance mechanisms and suggesitng approaches to enhance liquid biopsy sensitivity.