Exploration of the phenotype space corresponding to the sequence space of viable SARS-CoV-2 nucleocapsid protein species reveals significant diversity of biophysical characteristics, nonlocal mutation effects, and functional constraints.

Mechanical competition is controlled by biophysical parameters that regulate cellular homeostatic density, while biochemical competition is regulated by parameters that influence the organisation of cells in a tissue.

Electrophysiological and genetic analyses reveal a biophysical mechanism in parvalbumin interneurons, uncoupled from changes in gene expression, resulting in reduced cortical inhibition in early-stage Alzheimer's disease.

The biophysical diversity that is intrinsic to spiral ganglion neurons emerges as spatial gradients during early post-natal development and endures through subsequent maturation to likely contribute to sound intensity coding.

Synthetic polycystin proteins self-assemble as function channels when reconstituted in lipid vesicles.

Bayesian simulator-based inference is used to infer the parameters of complex multicompartment models of retinal neurons from two-photon imaging data.

A comprehensive computational study of germline-encoded T cell receptor CDR loops and MHC alpha-helices finds limited evidence for evolutionary conserved interactions, and instead suggests broad biophysical compatibility guides the interactions between the two proteins.

Simple biophysical considerations explain the collective behavior of molecularly diverse complex protein assemblies that regulate transport between the nucleus and the cytoplasm in eukaryotic organisms.

A computational model of a yeast chromosome, based on first principles, recapitulates in vivo chromosome behavior, and thus provides unprecedented insight into what the inside of a chromosome is likely to look like.

Biophysical modeling and quantitative live-cell imaging converge to show that the century-old puzzle of somatic homolog pairing in Drosophila operates via a button model.