The study aimed to predict the binding affinity and interaction patterns between DNMT1, DNMT2, DNMT3A, DNMT3B, TET-1, c-Myc, TET-2, NF-kB and methionine synthase in complex with Glycyrrhetinic acid (GA) using molecular docking simulations. In this study, A crystal structure of proteins (DNA methyltransferase 1, DNA methyltransferase 2, DNA methyltransferase 3A, DNA methyltransferase 3B, NF-kB, TET-1, c-Myc, TET-2 and methionine synthetase) was downloaded from the Protein Data Bank (PDB). the Auto Dock Vina and visualization by Discovery Studio and Chimera program were utilized for molecular docking study. The docking findings are examined to determine the docking pose based on binding affinity, hydrogen bonding, and other beneficial interactions (hydrophobic bond). In addition, it is used to visualise the proteins ligand interactions and analyze the binding pose of GA. Comparing the various binding energies and torsions of the test compound and the control revealed that the test GA had a perfect docking score, and it was predicted to possess comparable anti-tumour and anticancer activity.

An observational study was done for a period of 6 months from 1st January, 2023 to 30th June, 2023 in the clinical biochemistry laboratory at GCS Medical College, Hospital and Research Centre. The study delved into pre-analytical errors within clinical biochemistry laboratories, focusing on error types, their prevalence, and potential impact. The study aimed to identify and quantify errors occurring in the pre-analytical phase, spanning from sample collection to report generation. Among the recorded errors (n=50), the most frequent was insufficient sample volume, signifying a pressing concern. Another prevalent error was Tests Not Mentioned or Add-on Testing, accounting for 26% of all errors, potentially disrupting workflow. The research also highlighted additional errors, including hemolysis, clotted samples, contamination from infusion routes, and lipemic samples. The study underscored the significance of addressing these errors to ensure accurate and reliable test results, thereby enhancing patient care. Overall, it provided valuable insights into the landscape of pre-analytical errors in clinical biochemistry, emphasizing the need for improved procedures, enhanced training, and effective communication to enhance the quality and precision of laboratory testing and, ultimately, patient care.

Drought is a generally prolonged period of dryness which creates significant damage to crops and prevents their effective growth. It can also refer to a prolonged period of extremely low precipitation, especially one that has a negative impact on growing or living conditions. Drought affects plants vary, depending on the various stages of the plant's growth and the duration, severity and frequency of the drought. During high concentration germination decreases with increasing level of drought. Water deficiency also reduces the dry biomass of seed and seedlings. Drought stress causes the decline in seedling of wheat. The field experiment was conducted by utilizing augmented block design. Augmented block design is used when a limited quantity of resources available for experiment. From upper position of the spike excluding awns to the soil surface in centimeter were noted before harvesting. Spikes from each plot were selected randomly and number of spikelets was counted starting from base of spike towards the spike end. Under drought, plant height, spikes, peduncle length of selected plants was affected and had significant differences during normal irrigation and rainfed conditions. Grain yield per plant had highly significant positive correlation spike length under water irrigation.