Even when the underlying model for a neuron is unknown, relevant information on ion channels can still be inferred by utilizing recursive piecewise assimilation of electrophysiological data, and model error can be quantified.

Building on a variational quantum eigensolver and utilizing divide-and-conquer strategies, an algorithm that combines short and long DNA sequence reads shows promise for the optimization of quantum computing applied to genome assembly.

A new spectral regularization method that disentangles entropy from coevolutionary signals in protein sequences is able to infer contact maps with higher accuracy enabling the design of new stable proteins.

A deep neural network architecture merges segmentation and tracking, offering enhanced precision for image analysis of densely packed bacterial and eukaryotic cells.

The study reveals that Pseudomonas aeruginosa’s pilus activity promotes cell detachment and migration and, in combination with passive adhesion, forms an effective strategy for colonizing surfaces in shear flow conditions.

This study identified a new mechanism of active self-organization in microbial communities by which motile bacteria induce non-equilibrium spatial patterns in non-motile ones through surface-swimming-induced fluid flows.

In this study, non-ergodic models accounting for slow behavioral adaptive changes explain universal long-term patterns observed in the motions of animals, such as larval zebrafish and C. elegans.

This study shows that spatial correlations add to the information that cells can derive about their position in the embryo, and experimental data shows that this extra information is just enough to specify cellular identities uniquely.

APS has selected 156 Outstanding Referees for 2024 who have demonstrated exceptional work in the assessment of manuscripts published in the Physical Review journals. A full list of the Outstanding Referees is available online.

PRX Life’s Special Collection on Machine Learning and Structural Biology showcases cutting-edge research where machine learning intersects with structural biology. The collection is open to everyone and PRX Life is waiving article publication charges for all accepted manuscripts.

Manuscripts will be considered and published on a rolling basis.

The editors of PRX Life introduce the journal’s first issue and discuss their vision for serving the research communities working at the intersection of physics and the living world.