Browse our latest Computational and Systems Biology articles

Computational methods reveal how mutations affect the conformational landscape of the kinase domain of EGFR resulting in abnormal signaling and provide a structural framework for ongoing drug discovery efforts on mutant-specific EGFR inhibition.

DNA loops can be formed by a mechanism in which the cohesin complex pulls DNA strands through its ring structure using biased Brownian motion.

A structure-based model of the chromosomal cohesin complex, accompanied by molecular-mechanistic simulations, explains cohesin's key role in topologically entrapping DNA, as well as its ability to alternatively extrude DNA loops.

The fast spreading of neural activity across the brain has a complex structure, imposed by the white-matter bundles.

Mice exploring a labyrinth freely for the first time learn a complex action sequence after a handful of rewards, exhibiting a learning rate 1000-fold higher than in commonly-used paradigms.

A very large number of place-field maps can be robustly learned by association of external cues with the grid-driven response, however plasticity in the grid-cell inputs renders the place-cell responses volatile.

The mechanism triggering HBV membrane fusion involves ERp57, a cellular protein disulfide isomerase, and ultimately leads to the exposition of a fusion peptide that was identified in the pre-S1 determinant.

A deep learning network can classify cardiac myocytes into drug-free and drugged categories and predict the impact of electrophysiological perturbation across the continuum of aging.

A mathematical model predicts that cell cycle duration acts as a transcriptional filter and directly affects cell diversity in early eukaryotic development.

Akt phosphorylates insulin receptor substrate to engage negative feedback and limit signal propagation.