Introduction: Rheumatoid arthritis (RA) is a chronic autoimmune disease character-ized by inflammation and joint destruction, leading to significant disability and reduced quality of life. Current treatment options for RA have limitations, highlighting the need for novel therapeu-tic approaches. In this study, we employed network pharmacology methods to identify potential bioactive compounds from Persea Americana (avocado) for the treatment of RA.
View Article and Find Full Text PDFBackground: Information on the prevalence of infectious agents in dairy farms forms the basis for formulating a suitable control strategy; especially in endemic situations.
Aims: A cross-sectional study was undertaken to determine the prevalence of six economically important bovine diseases, causing reproductive disorders including bovine abortion in organized dairy herds in India.
Methods: A total of 1,075 animals (cattle and buffaloes) from 09 dairy farms were screened by ELISA tests.
Background: Drug discovery requires the use of hybrid technologies for the discovery of new chemical substances. One of those interesting strategies is QSAR via applying an artificial intelligence system that effectively predicts how chemical alterations can impact biological activity via in-silico.
Aim: Our present study aimed to work on a trending machine learning approach with a new opensource data analysis python script for the discovery of anticancer lead via building the QSAR model by using 53 compounds of thiazole derivatives.
Objective: Psychiatric disorders and their treatments have the potential to adversely impact driving skills. However, it is unclear to what extent this poses a public health risk by increasing the risk of motor vehicle crashes (MVCs). The aim of this systematic review was to synthesize and critically appraise evidence on the risk of MVC for drivers with psychiatric disorders.
View Article and Find Full Text PDF: A novel strategy such as conjugation of amino, Schiff's bases, and thiadiazole moieties to the cinnamic acid nucleus has been adopted in this study to discover new molecules that target the dengue envelope protein (DENVE). : Among the different domains of dengue virus envelope protein (PDB ID 1OKE), we have selected a ligand-binding domain for our structure-based drug design. The designed compounds have also been docked against DENVE protein.
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