Browse our latest Computational and Systems Biology articles

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.

Achieving autotrophy in E. coli by introducing a small number of genetic changes crosses a milestone in engineering major metabolic transitions and paves a way for sustainable bio-production from CO₂.

High-resolution simulations of evolving microbial populations reveal that microscopic epistasis slows the rate of adaptation, while clonal interference can either speed it up or leave it fixed.

The transition from a restrictive patterning mechanism to one sensitive to a variety of environmental cues in NOTCH-mediated angiogenesis offers crucial insights into vascularization in damaged organs and cancer therapy.

A mammalian protein with RNA recognition motifs can be used in bacteria to engineer post-transcriptional regulation.

Combining biophysically realistic hippocampal neurons with coupled phase oscillators that represent theta inputs enables probing the phase-dependent effects of neurostimulation on theta-nested gamma oscillations in normal and pathological states.