RESULTS In this study, COX-2 considered as the potential target for Hepatocellular Carcinoma which was examined with Tangeretin. CONCLUSION Tangeretin was screened against C0X-2 which includes Molecular Docking, DFT analysis, ADMET prediction, and Molecular Dynamics simulation. Tangeretin had good docking scores, fulfill the pharmacological properties through ADMET prediction, and the Protein-Ligand complex had good stability in Molecular Dynamics simulation. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.BACKGROUND IC50 is one of the most important parameters of a drug. But, it is very difficult to predict this value of a new compound without experiment. There are only a few QSAR based methods available for IC50 prediction which is also highly dependable on huge number of known data. Thus, there is an immense demand for a sophisticated computational method of IC50 prediction, in the field of in-silico drug designing. OBJECTIVE Recently developed quantum computation based method of IC50 prediction by Bag and Ghorai requires an affordable known data. In present research work further development of this method is carried out such that the requisite number of known data being minimal. METHODS To retrench the cardinal data span and shrink the effects of variant biological parameters on the computed value of IC50, a relative approach of IC50 computation is pursued in the present method. To predict an approximate value of IC50 of a small molecule, only the IC50 of a similar kind of molecule is required for this method. RESULTS The present method of IC50 computation is tested for both organic and organometallic compounds as HIV-1 capsid A inhibitor and cancer drugs. Computed results match very well with the experiment. CONCLUSION This method is easily applicable to both organic and organometallic com- pounds with acceptable accuracy. Since this method requires only the dipole moments of an unknown compound and the reference compound, IC50 based drug search is possible with this method. An algorithm is proposed here for IC50 based drug search. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.Medicinal plants are the basic source of medicinal compounds traditionally used for the treatment of human diseases. Calotropis gigantea a medicinal plant belonging to the family of Apocynaceae in the plant kingdom and subfamily Asclepiadaceae usually bearing multiple medicinal properties to cure a variety of diseases. BACKGROUND The Peptide Mass Fingerprinting (PMF) identifies the proteins from a reference protein database by comparing the amino acid sequence that is previously stored in a database and identified. OBJECTIVE The purpose of the study is to identify the peptides having anti-cancerous properties by in-silico peptide mass fingerprinting. METHOD The calculation of insilico peptide masses is done through the ExPASy PeptideMass and these masses are used to identify the peptides from MASCOT online server. Anticancer probability is calculated from the iACP server, docking of active peptides is done by CABS-dock the server. RESULTS The anti-cancerous peptides are identified with the MASCOT peptide mass fingerprinting server, the identified peptides are screened and only the anti-cancer are selected. De novo peptide structure prediction is used for 3D structure prediction by PEP-FOLD 3 server. The docking results confirm strong bonding with the interacting amino acids of the receptor protein of breast cancer BRCA1 which shows the best peptide binding to the Active chain, the human leukemia protein docking with peptides shows the accurate binding. CONCLUSION These peptides are stable and functional and are the best way for the treatment of cancer and many other deadly diseases. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.Amino acids (AAs) and their metabolites regulate key metabolic pathways that are necessary for growth, reproduction, and immunity, metabolism of the body. It has been convinced that metabolic diseases are closely related to disorders of glycolipid metabolism. A growing number of studies have shown that AAs are closely related to energy metabolism. This review focuses on the effects of amino acids (arginine, branched-chain amino acids, glutamine) and their metabolites (short chain fatty acids) on glycolipid metabolism by regulating PI3K/AKT/mTOR and AMPK signaling pathways and GPCRs receptors, reducing intestinal Firmicutes/Bacteroidetes ratio associated with obesity. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.X-ray is a non-thermal technology that has shown good efficacy in reducing pathogenic and spoilage bacteria, viruses and parasite. X-ray hygiene technology resulted in a high microbial loss on numerous food products, such as dairy products, ready-to-eat shrimp, oysters, fresh products; strawberries, shredded iceberg lettuce, and spinach leaves. Some X-ray studies on food safety have shown that X-rays is an effective technology and is also an appropriate alternative to the electron beam and gamma rays, and can be used in the food industry without side effects on human health. Besides, we reviewed X-ray effect on the nutritional value of food. Therefore in this study, we aimed to review the available pros and cons of current studies regarding x-rays effects in food industry. DNA Damage inhibitor Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.Stem cells are undifferentiated cells and have great potential in multilineage differentiation. These cells are classified into adult stem cells like Mesenchymal Stem Cells (MSCs) and Embryonic Stem Cells (ESCs). Stem cells, also, have potential therapeutic utility due to their pluripotency, self-renewal, and differentiation ability. These properties make them a suitable choice for regenerative medicine. Stem cells differentiation toward functional cells is governed by different signaling pathways and transcription factors. Recent studies have demonstrated the key role of microRNA's in the pathogenesis of various diseases, cell cycle regulation, apoptosis, aging, cell fate decisions. Several types of stem cells have different and unique miRNA expression profiles. Our review summarizes novel regulatory roles of miRNAs in the process of stem cell differentiation especially adult stem cells into a verity of functional cells through signaling pathways and transcription factors modulation. Understanding the mechanistic roles of miRNAs might be helpful in elaborating clinical therapies using stem cells and developing novel biomarkers for the early and effective diagnosis of pathologic conditions.