Connectome-based schizophrenia prediction using structural connectivity - Deep Graph Neural Network(sc-DGNN).

Background: Connectome is understanding the complex organization of the human brain's structural and functional connectivity is essential for gaining insights into cognitive processes and disorders.

Objective: To improve the prediction accuracy of brain disorder issues, the current study investigates dysconnected subnetworks and graph structures associated with schizophrenia.

Method: By using the proposed structural connectivity-deep graph neural network (sc-DGNN) model and compared with machine learning (ML) and deep learning (DL) models.

Subsequent infection differentially affects the proteome of Caenorhabditis elegans by abrogating the intestinal cell proliferation.

With a wide range of bacterial infections growing, it has become a big challenge to the research field to combat the newly emerging diseases. Immuno-compromised patients are vulnerable to opportunistic infections. P.

Fentanyl-Induced Respiratory Depression: A Narrative Review on the Possible Single-Nucleotide Polymorphism.

Opioid-related respiratory depression is a serious clinical problem as it can cause multiple deaths and anoxic brain injury. Genetic variations influence the safety and clinical efficacy of fentanyl. Pharmacogenetic studies help in identifying single-nucleotide polymorphisms (SNPs) associated with fentanyl causing respiratory depression and aid clinician in personalized pain medicine.

Significance of probiotics in remodeling the gut consortium to enhance the immunity of Caenorhabditis elegans.

In the recent past, Caenorhabditis elegans has emerged as one of the leading nematode models for studying host-microbe interactions on molecular, cellular, or organismal levels. In general, morphological and functional similarities of the gut of C. elegans with respect to that of human has brought in speculations on the study of the intestinal microbiota.

Dissecting the transactivation domain (tAD) of the transcription factor c-Myb to assess recent models of tAD function.

Transcription factors use a DNA-binding domain to localize their action and a transactivation domain (tAD) to stimulate activation of the associated gene. Recent work has renewed interest in how tADs activate genes, which remains poorly understood. Key features in the new models are exposure of short linear motifs (SLMs) and liquid-liquid phase separation (LLPS).