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        Enhancement of Chlorella vulgaris cell density: Shake flask and bench-top photobioreactor studies to identify and control limiting factors

        Ambarish Sharan Vidyarthi,Yuvraj,Jeeoot Singh 한국화학공학회 2016 Korean Journal of Chemical Engineering Vol.33 No.8

        Low cell density is a major bottleneck in any microalgal bioprocess that prevents the large scale exploitation of this potential bioresource from commercialization of commodities like biofuels. Control of factors limiting growth is the key to enhancing cell density. Factors limiting photoautotrophic growth of C. vulgaris were identified and controlled to a possible extent. Limiting CO2-transfer rate, light attenuation, scarcity of nutrients, and high pH compounded to retard growth gradually in the basal medium. Analysis of the maximum feasible CO2 mass-transfer rate and CO2 fixation rates enabled the assessment of CO2-limited growth without on-line estimation of dissolved CO2. Growth (1.4×108 cells mL−1, 12.6 g dry wt L−1) was extensively enhanced when limiting factors were staved in a customized 250mL stirred-tank photobioreactor. Scaling the culture 8 times with constant kLa (volumetric mass-transfer coefficient) and Rei (impeller Reynolds number) resulted in reduction of biomass titer by 80% because of light attenuation.

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        Statistical Optimization of Medium Components to Increase the Manganese Peroxidase Productivity by Phanerochaete chrysosporium NCIM 1197

        Alok Kumar Varshney,Medicherla Krishna Mohan,Ambarish Sharan Vidyarthi,Vinod Kumar Nigam,Purnendu Ghosh 한국생물공학회 2013 Biotechnology and Bioprocess Engineering Vol.18 No.6

        The production of manganese peroxidase (MnP)by the white-rot fungus Phanerochaete chrysosporiumNCIM 1197 was investigated by the screening andoptimization of the media constituents and physiologicalfactors. MnP production by the fungus was used as theresponse to screen the media constituents with statisticallyvalid Plackett-Burman (P-B) design. Response surfacemethodology (RSM) was applied to optimize the level ofscreened media constituents. Amongst the media constituentsscreened, glucose, maltose, ammonium chloride, and ureawere selected as the most important for MnP enhancement. A five-level Central Composite Design (CCD) was used inoptimizing the important media constituents for maximizingthe MnP production. The optimal medium composition formaximum MnP production was 13.88 mM of glucose,13.88 mM of maltose, 0.02 mM of ammonium chloride,and 0.02 mM of urea. The final experiment was conductedto validate the model, which was shown to produce70.20 U/mL of MnP with a predicted value of 66.49 U/mLon the 8th day of incubation.

      • Theoretical Investigations on Structure and Function of Human Homologue hABH4 of E.coli ALKB4

        Shankaracharya, Shankaracharya,Das, Saibal,Prasad, Dinesh,Vidyarthi, Ambarish Sharan Korean Society for Bioinformatics 2010 Interdisciplinary Bio Central (IBC) Vol.2 No.3

        Introduction: Recently identified human homologues of ALKB protein have shown the activity of DNA damaging drugs, used for cancer therapy. Bioinformatics study of hABH2 and hABH3 had led to the discovery of a novel DNA repair mechanism. Very little is known about structure and function of hABH4, one of the members of this superfamily. Therefore, in present study we are intended to predict its structure and function through various bioinformatics tools. Materials and Methods: Modeling was done with modeler 9v7 to predict the 3D structure of the hABH4 protein. This model was validated with the program Procheck using Ramachandran plot statistics and was submitted to PMDB with ID PM0076284. The 3d2GO server was used to predict the functions. Residues at protein ligand and protein RNA binding sites were predicted with 3dLigandSite and KYG programs respectively. Results and Discussion: 3-D model of hABH4, ALKBH4.B99990003.pdb was predicted and evaluated. Validation result showed that 96.4 % residues lies in favored and additional allowed region of Ramachandran plot. Ligand binding residues prediction showed four Ligand clusters, having 24 ligands in cluster 1. Importantly, conserved pattern of Glu196-X-Pro198- Xn-His254 in the functional domain was detected. DNA and RNA binding sites were also predicted in the model. Conclusion and Prospects: The predicted and validated model of human homologue hABH4 resulted from this study may unveil the mechanism of DNA damage repair in human and accelerate the research on designing of appropriate inhibitors aiding in chemotherapy and cancer related diseases.

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