PHARMACOVIGILANCE AND KNOWLEDGE, ATTITUDE, AND PRACTICE STUDY ON ANTI-DIABETIC MEDICATIONS IN GERIATRIC CLINICS AT A TERTIARY CARE HOSPITAL.

Introduction: Diabetes mellitus, a chronic metabolic disorder stemming from pancreatic dysfunction, is surging in India, notably among those aged 60 and above. The escalating disease prevalence in this demographic necessitates heightened medication use, escalating the risk of Adverse Drug Reactions (ADRs). This underscores the vital role of ADR monitoring to curtail potential harm.

High-throughput virtual screening followed by in vitro investigation to identify new lead inhibitors of Cyclin Dependent Kinase 4.

In the family of serine/threonine kinases, Cyclin Dependent Kinase 4 (CDK4), is an important regulator in numerous signal transduction pathways. The cell cycle is dysregulated in human breast adenocarcinoma (MCF-7). A set of various categorical QSAR models were generated and validated in the current examination.

Theoretical Insights into the Anti-SARS-CoV-2 Activity of Chloroquine and Its Analogs and In Silico Screening of Main Protease Inhibitors.

Corona virus disease (COVID-19) is a dangerous disease rapidly spreading all over the world today. Currently there are no treatment options for it. Drug repurposing studies explored the potency of antimalarial drugs, chloroquine and hydroxychloroquine, against SARS-CoV-2 virus.

Comparative QSAR model generation using pyrazole derivatives for screening Janus kinase-1 inhibitors.

Asthma is a multitargeted disease. IL-4-JAK-STAT signaling pathway is a promising route for the effective control of the disease. JAK inhibition by small molecules could effectively block the IL-4 signaling pathway.

Computational approach for generating robust models for discovering novel molecules as Cyclin Dependent Kinase 4 inhibitors.

Cyclin Dependent Kinase 4 is a striking target for the proposal of anti-cancer drugs since its overexpression is associated with various types of cancers. In the present study, 2D and 3D atom based QSAR study were accomplished with 6 component PLS factor for 230 pyrido[2,3-d]pyramidine correspondents along with flexible ligand docking in the extra precision mode with the application of core constraints followed by the binding energy determinations. Kernel based partial least square analysis fitting with fingerprints initially created worthy models, among which the one with molprint2D fingerprints generated a noble model with a score value of 0.