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Enhanced Visual Cryptography Using color Error diffusion and Digital Watermarking
Tripta Deendayal,Ch.Sunitha
International Journal of Computer Technology and Applications , 2012,
Abstract: In this paper a new visual cryptography scheme is proposed for hiding information in images which divide secret images into multiple shares.In order to provide more security to existing schemes a new Technique called Digital Watermarking is used,and to improve the quality and size of images obtained color error diffusion technique is used .secret information can be retrieved by stacking any k number of decrypted shares. which reduces the color sets that renders the halftone image and chooses the color whose brightness variation is minimal
Variation of capsaicinoids in chilli (Capsicum frutescens L.) cultivars with the maturity of fruits in middle hill conditions of western Himalayas
Pandey Hemant,Deendayal,Pandey Vandna,Pant Tribhuwan
International Journal of Green Pharmacy , 2010,
Abstract: The three chilli (Capsicum frutescens L.) cultivars viz. chilli DARL 210, Chilli Long Black and Sartoria were grown in middle hill climatic conditions of western Himalayas at an altitude of 5,500 feet above the sea level. The variation in total capsaicinoids (Capsaicin and dihydrocapsaicin) was studied from budding to full maturity stage of fruits. The fruits were harvested at every fifteen days interval from flower budding (stage zero) to full maturity stage (stage seven). The total capsaicinoids were evaluated with the help of HPLC. It can be concluded from the study that, to achieve maximum pungency (total capsaicinoids) in these cultivars, the chilli cv. DARL 210 should be harvested at the stage of full maturity (after 105 days). Whereas, Chilli long black should be harvested after 75 days and cultivar Sartoria in between 60 to 90 days from flower budding stage. As far as pungency among these cultivars is concerned DARL 210 was the most pungent followed by Chilli Long black, while Sartoria was found least pungent cultivar.
Tandem machine learning for the identification of genes regulated by transcription factors
Deendayal Dinakarpandian, Venetia Raheja, Saumil Mehta, Erin G Schuetz, Peter K Rogan
BMC Bioinformatics , 2005, DOI: 10.1186/1471-2105-6-204
Abstract: This method has been validated using models of DNA binding sites recognized by the xenobiotic-sensitive nuclear receptor, PXR/RXRα, for target genes within the human genome. An information theory-based weight matrix was first derived and refined from known PXR/RXRα binding sites. The promoter region of candidate genes was scanned with the weight matrix. A novel information density-based clustering algorithm was then used to identify clusters of information rich sites. Finally, transformed data representing metrics of location, strength and clustering of binding sites were used for classification of promoter regions using an ensemble approach involving neural networks, decision trees and Na?ve Bayesian classification. The method was evaluated on a set of 24 known target genes and 288 genes known not to be regulated by PXR/RXRα. We report an average accuracy (proportion of correctly classified promoter regions) of 71%, sensitivity of 73%, and specificity of 70%, based on multiple cross-validation and the leave-one-out strategy. The performance on a test set of 13 genes showed that 10 were correctly classified.We have developed a machine learning approach for the successful detection of gene targets for transcription factors with high accuracy. The method has been validated for the transcription factor PXR/RXRα and has the potential to be extended to other transcription factors.Nucleic acid binding sites recognized by transcription factors are comprised of families of short, related, often degenerate sequences that share a common function. This degeneracy may be represented in the form of a position-specific weight matrix (PWM) [1,2]. In fact, PWMs have been widely applied [2,3] and several databases host them [4,5].Using information theory, the degree of conservation of an individual member (both known and predicted) of that family and its corresponding weight matrix may be quantified in terms of bits of information [1]. The strength of experimental binding has been s
An informatics search for the low-molecular weight chromium-binding peptide
Deendayal Dinakarpandian, Vincent Morrissette, Shveta Chaudhary, Kambiz Amini, Brian Bennett, J David Van Horn
BMC Chemical Biology , 2004, DOI: 10.1186/1472-6769-4-2
Abstract: A genomic search of the non-redundant database for all possible decapeptides of the reported composition yields three exact matches, EDGEECDCGE, DGEECDCGEE and CEGGCEEDDE. The first two sequences are found in ADAM 19 (A Disintegrin and Metalloproteinase domain 19) proteins in man and mouse; the last is found in a protein kinase in rice (Oryza sativa). A broader search for pentameric sequences (and assuming a disulfide dimer) corresponding to the stoichiometric ratio E:D:G:C::2:1:1:1, within the set of human proteins and the set of proteins in, or related to, the insulin signaling pathway, yields a match at an acidic region in the α-subunit of the insulin receptor (-EECGD-, residues 175–184). A synthetic peptide derived from this sequence binds chromium(III) and forms a metal-peptide complex that has properties matching those reported for isolated LMWCr and Cr(III)-containing peptide fractions.The search for an acidic decameric sequence indicates that LMWCr may not be a contiguous sequence. The identification of a distinct pentameric sequence in a significant insulin-signaling pathway protein suggests a possible identity for the LMWCr peptide. This identification clarifies directions for further investigation of LMWCr peptide fractions, chromium bio-coordination chemistry and a possible role in the insulin signaling pathway. Implications for models of chromium action in the insulin-signaling pathway are discussed.Type II diabetes continues to grow as a worldwide epidemic; it is expected that this disease will surpass 300 million cases by 2025 [1-5]. Understanding the complex signaling mechanisms of insulin receptor and downstream factors, e.g. IRS1 and IRS2 [6], is crucial in the design of effective therapeutic strategies. Clarification of such signaling mechanisms is expected to lead to discoveries to cure or prevent diabetes and other metabolic conditions [1]. Current strategies include the search for small synthetic or naturally-derived molecules to act upstream o
4-Aryl-4H-naphthopyrans derivatives: One-pot synthesis, evaluation of Src kinase inhibitory and anti-proliferative activities
Ali Rafinejad, Asal Fallah-Tafti, Rakesh Tiwari, Amir Nasrolahi Shirazi, Deendayal Mandal, Abbas Shafiee, Keykavous Parang, Alireza Foroumadi, Tahmineh Akbarzadeh
DARU Journal of Pharmaceutical Sciences , 2012, DOI: 10.1186/2008-2231-20-100
Abstract: The one-pot, three-component reaction of alpha or beta-naphthol, malonitrile and an aromatic aldehyde in the presence of Diammonium hydrogen phosphate was afforded the corresponding 2-amino-4-aryl-4H-benzo[h or f]chromene-3-carbonitrile derivatives, All target compounds were evaluated for inhibition of Src kinase and cell proliferation in breast carcinoma (BT-20) cell lines.Among all tested compounds, unsubstituted 4-phenyl analog 4a showed Src kinas inhibitory effect with IC50 value of 28.1 muM and was the most potent compound in this series. In general, the compounds were moderately active against BT-20. 3-Nitro-phenyl 4e and 3-pyridinyl 4h derivatives inhibited the cell proliferation of BT-20 cells by 33% and 31.5%, respectively, and found to be more potent compared to doxorubicin (25% inhibition of cell growth).The data indicate that 4-aryl-4H-naphthopyrans scaffold has the potential to be optimized further for designing more potent Src kinase inhibitors and/or anticancer lead compounds.
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