Browse our latest Computational and Systems Biology articles

A novel R ratiometric imaging tool provides enhanced knowledge obtained from conventional spatial data profiling technologies.

Peptides designed by artificial intelligence restrict both drug-resistant bacteria and rapidly evolving viruses.

A fiber photometry analysis framework based on functional mixed models enhances the detection of effects by testing signal-variable associations at each trial timepoint and accounting for between-animal heterogeneity.

Recurrent spiking networks that process input stimuli with optimal efficiency have key emerging properties that are similar to those of biological neural networks.

Assessment of transfer entropy is useful for network analysis of cell signaling network providing information on the network topology and action points of genetic mutations and drug effect, thus will be applicable to molecular pharmacology and pathology.

Root causal genes correspond to the initial changes to gene expression that induce a diagnosis and can be reliably detected from bulk RNA-seq after determining a causal ordering from Perturb-seq.

The Pro-PRIME model demonstrates the ability to engineer VHH antibody with unprecedented alkali resistance and enhanced affinity, enabling industrial applications under extreme conditions previously unattainable with natural proteins.

The UA-dinucleotide ratio in UTRs is negatively correlated with RNA stability both in the massively parallel reporter assay and in vivo, and is prevalent in fast-turnover genes.