Browse our latest Computational and Systems Biology articles

Text mining of complete EHRs for 14,017 diabetes patients and subsequent clustering led to phenotypically deep clusters, showing distinct glycemic profiles, comorbidities, and SNP association patterns.

Drugs in a curative chemotherapy regimen are independently effective and resisted by different mechanisms, so cancer cells have little chance of surviving all drugs, and this benefit occurs without synergistic interactions.

Single-cell measurements combined with a new statistical framework for discriminating between models of cell cycle regulation show that chromosome initiation controls the E. coli cell cycle via two adder mechanisms.

Biophysical modeling, performed in silico, can predict the abundance, metabolic stability, and function of MLH1 inside living cells.

When an essential metabolic gene in E. coli is mutationally inactivated, subsequent evolution rarely reverts the mutation to wild type but rather follows unexpected paths that rewire metabolic fluxes.

A new intricate reciprocity between microbiology and physics results in collective protection from desiccation through differential formation of stable microdroplets around bacterial aggregates on surfaces drying under moderate humidity.

Microscopic water films allow bacteria to survive the seemingly dry surface of plant leaves.

Mycobacterium tuberculosis exploits an IFN/IL6/CEBP axis linked to monocyte expansion in humans.

A mathematical model of blood-stage infection with Plasmodium falciparum malaria capturing the sexual stage of the parasite life-cycle is validated against human data, providing new insight into human-to-mosquito transmission.

Using different sets of input sequences to evolutionary reconstruction algorithms results in the exploration of many possible models, the intergration over which produces significantly more accurate models.