deep-AMPpred: A Deep Learning Method for Identifying Antimicrobial Peptides and Their Functional Activities.

Antimicrobial peptides (AMPs) are small peptides that play an important role in disease defense. As the problem of pathogen resistance caused by the misuse of antibiotics intensifies, the identification of AMPs as alternatives to antibiotics has become a hot topic. Accurately identifying AMPs using computational methods has been a key issue in the field of bioinformatics in recent years.

Best Evidence Summary for the Improvement and Management of Disorders of Consciousness in Patients With Severe Brain Injury.

Background And Purpose: The treatment effect of consciousness after brain injury is currently uncertain. Thus, this study aimed to retrieve the evidence from neurologists around the world on the management of consciousness disorders in patients with severe brain injury and evaluate and summarize the evidence, providing the guidance on the related management for clinicians.

Methods: Following the evidence summary report standard of Fudan University Center for Evidence-Based Nursing, clinical guidelines, expert consensuses, systematic reviews, and evidence summaries were systematically retrieved from UpToDate; BMJ Best Practice; Guidelines International Network; the Cochrane Library; Embase; PubMed; Sinomed; Web of Science; CNKI; WanFang database; American Academy of Neurology (AAN); American Congress of Rehabilitation Medicine (ACRM); European Academy of Neurology; and National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR).

Cross-species analysis of genetic architecture and polygenic risk scores for non-contact ACL rupture in dogs and humans.

Non-contact anterior cruciate ligament (ACL) rupture is a common serious orthopaedic disease in humans and dogs. Familial risk has been recognized in both species but interactions between genetic effects and environmental risk are not understood. We investigated ACL rupture heritability, genetic architecture, selection pressure, sharing of risk genes and biological pathways, and polygenic risk score (PRS) prediction of disease risk.

Chemical profile changes in Peanut seeds infected with aspergillus flavus via widely targeted metabolomics.

Peanut seeds are enriched with protein and fatty acids, making them susceptible to infection by Aspergillus flavus (A. flavus). The infected seeds are harmful to human health due to the aflatoxin contamination.

KLRD1 (CD94): A Prognostic Biomarker and Therapeutic Candidate in Head and Neck Squamous Cell Carcinoma.

Killer Cell Lectin Like Receptor D1 (KLRD1) plays a crucial role in antitumor immunity. However, its expression patterns across various cancers, its relationship with patient prognosis, and its potential as an immunotherapy target remain inadequately understood. We analyzed KLRD1 expression across various cancer types using multi-omics data from The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx), and Gene Expression Omnibus (GEO) databases, correlating it with patient prognosis.