Explainable deep learning and virtual evolution identifies antimicrobial peptides with activity against multidrug-resistant human pathogens.

Artificial intelligence (AI) is a promising approach to identify new antimicrobial compounds in diverse microbial species. Here we developed an AI-based, explainable deep learning model, EvoGradient, that predicts the potency of antimicrobial peptides (AMPs) and virtually modifies peptide sequences to produce more potent AMPs, akin to in silico directed evolution. We applied this model to peptides encoded in low-abundance human oral bacteria, resulting in the virtual evolution of 32 peptides into potent AMPs.

Apelin ameliorates sepsis-induced myocardial dysfunction via inhibition of NLRP3-mediated pyroptosis of cardiomyocytes.

Sepsis-induced myocardial dysfunction (SMD) is the major cause of death in sepsis. Nucleotide-binding oligomerization domain-like receptor family pyrin domain containing 3 (NLRP3)-mediated pyroptosis contributes to the occurrence and development of SMD. Although Apelin confers direct protection against SMD, the potential mechanisms remain unclear.

[Feasibility and safety assessment of fossa infratemporalis approach for blind-needle at sphenopalatine ganglion].

Objective: To identify the feasibility and safety of fossa infratemporalis approach for blind-needle at sphenopalatine ganglion so as to provide anatomical evidence for the operation and the prevention of non-immediate adverse reaction.

Methods: The variations of pterygopalatine fossae in sixty dry skulls were observed by selecting measuring points for facial skull width. The brains of six wet skulls were taken out,then acupuncture of fossa infratemporalis approach was applied.