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ICBTMM-012

COMPARATIVE STUDY OF CHEMOPREVENTION OF FOOD FACTORS OF Solanum torvum ON MCF-7- HUMAN MAMMARY GLAND BREAST ADENOCARCINOMA CELL LINES WITH ANTIMITOTIC ACTIVITY USING ALLIUM CEPA ROOT MERISTAMATIC CELLS




A. Thenmozhi


PG Department of Biochemistry, SRM Arts and Science College, Chennai– 603203, India

jayashreethen@gmail.com


A major focus of the present work has been to identify the targets of natural non-toxic chemopreventive compounds present in herb what we commonly eat. These compounds have potent anticancer effects that work through unknown mechanism. The present work proposes that the food factors to be an effective chemopreventive agent, it must influence a valid cellular or molecular target. The antimitotic activity was screened using Allium cepa root meristamatic cells, which are having similar cell division like that of cancer cell division in human. Experiments were carried out with incorporation of folic acid in the extract. Folic acid inhibited the antimitotic activity of S.torvum extract. The studies were extended to human cells using MCF-7 Human mammary gland breast adenocarcinoma cell lines. The results obtained were compared with methotrexate- a known anticancer drug. S.torvum extract is effective against A.cepa root cells by inhibiting microtubule formation. Thus it is possible that food factors that affect plant chromosome also affect animals and human cells. Extracts of S.torvum was found to be extremely effective in the chemoprevention of the mammary gland breast adenocarcinoma cell lines. The excellent antimitotic and chemopreventive activities of S.torvum was due to its potential food factors, such as poly phenols steroidal saponin glycoside, alkaloids and flavonoids. Active principle sterol has been separated by TLC. Consumption of a diet rich in food factors which have an anti cancer or chemopreventive effect in humans remains to be determined. One of the major challenges in conquering cancer is in the area of translational research which will help the scientist for moving promising compounds from the bench to the clinic are in near future.

ICBTMM-013




CONSTRUCTION OF MARINE COMPOUND LIBRARY




L. Avila Pauline


Head of the Department of Bioinformatics,KG College of Arts & Science,Coimbatore

avilapauline@kgcas.com, avila_pauline@yahoo.co.in


The Computer-aided drug design technologies appeared poised to deliver diverse lead compounds for any biological target. Specifically, the present study targeted the marine compound and their analogs through Computer-aided drug design method and led to the discovery of marine compound library.The marine pharmacy currently holds more than 35,054 marine-derived biological samples. The existing Marine Compounds were collected from Pubchem. To ensure a clean dataset for the Computer Aided Drug Design work, a combination of Schrodinger’s LigPrep, QikProp, Premin and Macromodel packages are used to prepare the input file. LigPrep is used to generate accurate 3D molecular structures including tautomeric, stereochemical, and ionization variations, as well as energy minimization and flexible filters to generate fully customized ligand libraries that are optimized for further computational analysis.The generated structures were filtered using QikProp. QikProp is a quick, accurate and easy-to-use absorption, distribution, metabolism and excretion (ADME) prediction program designed by Professor William L. Jorgensen. Using QikProp the widest variety of pharmaceutically relevant properties namely octanol / water and water / gas log P, log S, log BB, overall CNS activity, CaCo2 and MDCK cell permeability’s, human oral absorption, log Khsa for human serum albumin binding and log IC50 for HERG K+ Channel blockage were predicted for the above filtered molecules. In addition to predicting molecular properties, QikProp provides ranges for comparing a particular molecule’s properties with those of 95% of known drugs. Virtual screening is increasingly gaining acceptance in the pharmaceutical industry as a cost effective and timely strategy for analyzing very large chemical datasets and Maestro Packages offers the full spectrum of speed and accuracy from high-throughput virtual screening of millions of compounds to extremely accurate binding mode predictions, providing consistently high enrichment at every level. In this study, we collected the Marine Compound from Pubchem database. A Marine Compound Library with optimized structure are generated by LigPrep, for the above collected Compounds. The ADME property also calculated for the generated compounds using QikProp.The success of these studies in identifying compounds with enhanced biological properties underscores the continuing importance of Marine Compounds as starting points for chemical biology and drug discovery efforts through rational molecular design and chemical synthesis.

ICBTMM-014




BIO MARKERS IN SALIVA OF TYPE I DIABETES MELLITUS FOR DIAGNOSTIC AND PROGNOSTIC SIGNIFICANCE.




B.Priyadarshini1, R. Uma2


1Dept of Biochemistry,Annamalai University,Chidambaram,Tamil Nadu,India. 2Dept of Biochemistry, D.G. Vaishnav College, Arumbakkam, Chennai, Tamil Nadu, India

sivaa1@yahoo.co.uk


Salivary biomarkers of Type I Diabetes mellitus in the twenty clinically confirmed type 1 diabetic patients were compared with age matched normal healthy subjects. Salivary and plasma levels of glucose and protein were estimated. Lipid peroxide levels (LPO), glutathione, antioxidant enzymes such as glutathione peroxide, catalase and non enzymic antioxidants such as cerruloplasmin, vitamin E and C were estimated in the saliva. Glucose levels in serum and saliva were increased in the diabetic subjects where as protein levels does not show any changes. Salivary LPO levels were significantly increased whereas glutathione level was decreased in the diabetic subjects. Cerruloplasmin, vitamin C levels & catalase activity does not show any changes in the diabetic subjects when compared with normal counterparts. Vitamin E & glutathione peroxidase was significantly decreased in diabetic subjects when compared with normal subjects. Interpretation & Conclusion: The study concluded that salivary glucose & LPO was increased, enzymatic and non-enzymatic antioxidant levels were decreased in the saliva of Type I Diabetes mellitus, suggesting that saliva (biological fluid) may be used as biomarker, to overcome the patients “fear of pain” associated with the frequent long term monitoring& management of Type I Diabetes mellitus.
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