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Current Trends in Biotechnology and PharmacyVol. 5 (2) 1098-1103 April 2011. ISSN 0973-8916 (Print), 2230-7303 (Online)1103the etiology of plant diseases caused byAlternaria solani (Ell. & Mart.) Jones &Grout. Appl.Biol. 39: 308-321.8. Pound, G.S. and Stahmann, M.A. (1951).The production of a toxic material byAlternaria solani and its relation to the earlyblight disease of tomato. Phytopathology 41:1104-1114.9. Brian, P.W., Curtis, P.J., Hemming, H.G.,Jeffreys, E.G., Unwin, C.H. and Wright,J.M. (1949). Alternaric acid, a biologicallyactive metabolic product of the fungusAlternaria solani. Nature 164: 534.10. Stoessl, A. and Stothers, J.B. (1984).Alternaric acid. Proof of biosynthesis viacondensation of two polyketide chains. Can.J. Chem. 62:549-553.11. Matern, U., Strobel, G. and Shepard, J.(1978). Reaction to phytotoxins in a potatopopulation derived from mesophyllprotoplasts. Proc. Natl. Acad. Sci .USA.75: 4935-4939.12. Maiero, M., Bean, G.A. and Ng, T.J. (1991).Toxin production by Alternaria solani andits related phytotoxicity to Tomato Breedinglines. Phytopathology 81:1030-1033.13. Grove, J.F. (1952) Alternaric acid. Part I.Purification and characterization. J. Chem.Soc., 50: 4056-4059.14. Bartels-Keith, J.R. (1960). Alternaric acid.Part II. Oxidation. J. Chem. Soc., 7: 860-866.National Conference onEmerging Trends in Biotechnology &Annual Meeting of Society for Biotechnologists (India)(September 24-26, 2011)Organized jointly bySociety for Biotechnologists (India) & Department of BiotechnologyAcharya Nagarjuna University,Nagarjuna Nagar – 522 510 Guntur, A.P., IndiaBroad Areas of FocusCellular and Tissue Engineering , Bionanotechnology and Protein Engineering , Genetic Engineering , Plant &Animal Biotechnology, Immunotechnology, Industrial & Environmental Biotechnology, Pollution and HumanHealth, Regenerative Medicine, Genomics and Proteomics, Bioinformatics, Cancer Biology and Medical Biotechnology,Herbal Medicines, Molecular NeuroscienceFor further details contactProf. K.R.S. Sambasiva RaoHead, Department of BiotechnologyAcharya Nagarjuna UniversityGuntur, A.P., India – 522 510Phone – 0863-2346355, Email – raokrss@yahoo.inPatel et al
Current Trends in Biotechnology and PharmacyVol. 5 (2) 1104-1109 April 2011. ISSN 0973-8916 (Print), 2230-7303 (Online)1104Tool development for Prediction of pIC 50values from the IC 50values - A pIC 50value calculatorChandrabose Selvaraj, Sunil Kumar Tripathi, Karnati Konda Reddy andSanjeev Kumar Singh*CADD and Molecular Modeling Laboratory,Department of Bioinformatics, Alagappa University, Karaikudi, Tamilnadu, India*For Correspondence - skysanjeev@gmail.comAbstractHalf maximal inhibitory concentration(IC 50) value measures the effectiveness of compoundinhibition towards biological or biochemicalutility. Quantitative measure indicates the quantityrequired for particular inhibitor to inhibit a givenbiological process (i.e. an enzyme, cell, cell receptoror microorganism) by half. Occasionally,it is also converted to the pIC 50scale (-log IC 50),in which higher values indicate exponentiallygreater potency. These are the experimentalvalues which are predicted and coded inNanomolar (nM-10 -9 ) and micromolar (µM-10 -6 ). These IC 50values differs in wide rangeof molecules. So, there are Varity of ranges ofapplications in molecular modeling techniquesespecially 3D-QSAR, CoMFA, CoMSIA,Pharmacophore Mapping and many more applications.So, to predict the narrow value fromthe experimental value, the successful formulais described here to calculate the pIC 50value.As of now, no tool available as open sourcesoftware to provide the value of pIC 50fromIC 50values as pIC 50calculator .In this workwe developed the tool for the prediction ofpIC 50values from the IC 50in nanomolar andmicromolar using the JavaScript programminglanguage, which is available at the Sanjeevslabwebpage: http://www.skysanjeev.110mb.com/index.php?p=1_7_ToolsKeywords: pIC 50, IC 50, QSAR, Nanomolar,MicromolarIntroductionIn a current scenario experimental andtheoretical activity is very important in understandingthe effectiveness of particular compoundswhile developing QSAR (Quantitative StructureActivity Relationship) model in computer aideddrug designing methods. QSAR modeling hasbeen conventionally applied as an evaluative approach,i.e., with the focus on developing retrospectiveand explanatory models of existing data(1, 2). Here, in this paper we have developed onetool for generating the pIC 50values from IC 50values. Half maximal (50%) inhibitory concentrationof a substance (IC 50) commonly used formeasuring the antagonist drug potency in pharmacologicalresearch. Synthesis of new moleculeswith bioassay of respective proteinevaluates the inhibitory capacity of the particularmolecule response towards the protein,in terms of micromolar and nanomolar calledas IC 50values. The potential effectiveness ofdrug IC 50, in particular concentration of complexsubstance to provide 50% inhibition tocertain reaction (3, 4) and is universally usedto symbolize the inhibitory effect of compoundson competitive binding assays withfunctional antagonist assays and even thoughTool development for Prediction of pIC 50values
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(December 7-9, 2011)Venue: Karunya
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