Protein interactions in human pathogens revealed through deep learning.

Identification of bacterial protein-protein interactions and predicting the structures of these complexes could aid in the understanding of pathogenicity mechanisms and developing treatments for infectious diseases. Here we developed RoseTTAFold2-Lite, a rapid deep learning model that leverages residue-residue coevolution and protein structure prediction to systematically identify and structurally characterize protein-protein interactions at the proteome-wide scale. Using this pipeline, we searched through 78 million pairs of proteins across 19 human bacterial pathogens and identified 1,923 confidently predicted complexes involving essential genes and 256 involving virulence factors.

Essential and virulence-related protein interactions of pathogens revealed through deep learning.

Identification of bacterial protein-protein interactions and predicting the structures of the complexes could aid in the understanding of pathogenicity mechanisms and developing treatments for infectious diseases. Here, we developed a deep learning-based pipeline that leverages residue-residue coevolution and protein structure prediction to systematically identify and structurally characterize protein-protein interactions at the proteome-wide scale. Using this pipeline, we searched through 78 million pairs of proteins across 19 human bacterial pathogens and identified 1923 confidently predicted complexes involving essential genes and 256 involving virulence factors.

Laxative-prescribing habits: a summative impact evaluation of a constipation programme implemented in two hospitals in New Zealand.

Aims: To evaluate the impact of a multifaceted intervention aimed at improving adherence to a list of preferred laxatives in two hospitals in New Zealand.

Methods: A constipation programme was developed at Capital & Coast District Health Board to improve adherence to safe and effective (preferred) laxatives over potentially dangerous and less effective (non-preferred) agents. The intervention included a new constipation guideline, a poster of preferred laxatives, a patient information leaflet, hospital formulary adjustments and staff education.

Blame-Laden Moral Rebukes and the Morally Competent Robot: A Confucian Ethical Perspective.

Empirical studies have suggested that language-capable robots have the persuasive power to shape the shared moral norms based on how they respond to human norm violations. This persuasive power presents cause for concern, but also the opportunity to persuade humans to cultivate their own moral development. We argue that a truly socially integrated and morally competent robot must be willing to communicate its objection to humans' proposed violations of shared norms by using strategies such as blame-laden rebukes, even if doing so may violate other standing norms, such as politeness.

CXCL10 increases in human skeletal muscle following damage but is not necessary for muscle regeneration.

CXCL10 is a chemokine for activated and memory T cells with many important immunological functions. We recently found that CXCL10 is upregulated in human muscle following contraction-induced damage. No information is available on the role of CXCL10 in the context of muscle damage or repair.