Browse our latest Computational and Systems Biology articles

100,000s of images from different growth conditions and genetic backgrounds can be integrated into proteome-scale analysis.

A general machine learning scheme for integrating time-series data from single-molecule experiments and molecular dynamics simulations is proposed and successfully demonstrated for the folding dynamics of the WW domain.

Using barcoded mutagenesis and a high-throughput genetic screen results in the identification of 150 genes that affect lipid accumulation in a non-model yeast system.

The development of a robust and tunable artificial cell-cycle system paves the way for quantitative characterization of complex clock functions.

Stochastic tuning of gene expression could be a common mechanism through which eukaryotic cells adapt to challenging external environments, potentially including survival of infectious organisms within the host and adaptation of cancer cells to chemotherapy.

Computational and theoretical analyses offer novel and unexpected insight into how complex, naturally occurring odor mixtures are parsed and normalized at the very first stage of olfaction.

First comprehensive analysis of how many different mutations combine within and between two genes to alter a molecular phenotype.

Under conditions where the force of HIV infection per cell is high, partial attenuation of infection with inhibitors can increase the number of live infected cells and may paradoxically be beneficial for viral spread.

The p38 MAPK pathway functions downstream of a cell-size-sensing process to coordinate cell size/growth with G1 progression in animal cells.

Without using control cohorts, a statistical method identifies candidates for immune receptors associated with diseases from repertoire sequencing datasets.