https://www.selleckchem.com/products/jhu395.html Natural products play a pivotal role in innovative drug discovery by providing structural leads for the development of new therapeutic agents against various diseases.The present study aims to focus on the assessment of the therapeutic potential of antidiabetic phytoconstituents which were identified and isolated from the extracts of Lam, a medicinal plant traditionally used for various pharmacotherapeutic purposes. The physicochemical and pharmacokinetic parameters of the previously isolated thirty eight compounds were predicted using SwissADME web tool whereas OSIRIS Property Explorer was used for toxicity risk assessment and drug- likeliness. Twelve compounds were selected for docking on human α-glucosidase and α-amylaseenzymes using Autodock 4.0 software. Furthermore, the active extract was tested for the antidiabetic activity and then identified usingTLC bioautographic method. Eriodictyol was found to have the highest potential as an inhibitor against α-amylase with binding energy of -9.92 kcal/mol. Rutin was the most potent against α-glucosidase with binding energy of-9.15 kcal/mol. A considerable number of hydrogen bonds and hydrophobic interactions were computed between the compounds and the enzymes thereby making them energetically favorable and suggesting inhibition of these two enzymes as a plausible molecular mechanism for their antidiabetic effect. These two flavonoids could therefore be used as potential leads for structure- based design of new effective hypoglycemic agents. These two flavonoids could therefore be used as potential leads for structure- based design of new effective hypoglycemic agents.The paucity of specific feline antibodies for flow cytometry (FC) is an ongoing challenge. Flow cytometrists must extrapolate information from relatively few markers. We evaluated the expression pattern of the panleukocyte markers CD18 and CD44 on leukocyte (white blood cell, WBC) subclasses in the peripher