Human microRNA miR-197-3p positively regulates HIV-1 virion infectivity through its target DDX52 by stabilizing Vif protein expression.

MicroRNAs are a part of the integral regulatory mechanisms found in eukaryotic cells that help in maintaining cellular homeostasis by modulating the expression of target genes. However, during stress conditions like viral infection, the expression profile of the microRNAs change, thereby directly modulating the expression of viral genes and/or indirectly targeting the virus by regulating the host genes. The present study intends to identify previously uncharacterized cellular microRNAs, which are significantly modulated upon HIV-1 infection.

Effects of HMG CoA reductase (HMGCR) deficiency on skeletal muscle development.

Pathogenic variants in HMGCR were recently linked to a limb-girdle muscular dystrophy (LGMD) phenotype. The protein product HMG CoA reductase (HMGCR) catalyzes a key component of the cholesterol synthesis pathway. The two other muscle diseases associated with HMGCR, statin-associated myopathy (SAM) and autoimmune anti-HMGCR myopathy, are not inherited in a Mendelian pattern.

Peptide-Bismuth Tricycles: Maximizing Stability by Constraint.

Constrained peptides possess excellent properties for identifying lead compounds in drug discovery. While it has become increasingly straightforward to discover selective high-affinity peptide ligands, especially through genetically encoded libraries, their stability and bioavailability remain significant challenges. By integrating macrocyclization chemistry with bismuth binding, we generated series of linear, cyclic, bicyclic, and tricyclic peptides with identical sequences.

COX-2 Inhibitor Prediction With KNIME: A Codeless Automated Machine Learning-Based Virtual Screening Workflow.

Cyclooxygenase-2 (COX-2) is an enzyme that plays a crucial role in inflammation by converting arachidonic acid into prostaglandins. The overexpression of enzyme is associated with conditions such as cancer, arthritis, and Alzheimer's disease (AD), where it contributes to neuroinflammation. In silico virtual screening is pivotal in early-stage drug discovery; however, the absence of coding or machine learning expertise can impede the development of reliable computational models capable of accurately predicting inhibitor compounds based on their chemical structure.

A comparison of demographic profiles, clinical profile, course, and outcome of Bipolar I Disorder and Bipolar II Disorder: Findings from the Bipolar Disorder Course and Outcome study from India (BiD-CoIN study).

Background: There is lack of data on bipolar disorder (BD) type II from India.

Aim: To compare the demographic and clinical characteristics of patients with BD-I and BD-II using the data of the Bipolar Disorder Course and Outcome study from India (BiD-CoIN study).

Methodology: Using the data of the BiD-CoIN study, patients with BD-I and BD-II were compared for demographic and clinical variables.