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As structures of more and more protein targets become available through crystallography, NMR and bioinformatics methods, there is an increasing requirement of computational programs that can identify and analyze active sites and suggest potential drug molecules. Time and cost required for designing a new drug are immense and at an unacceptable level. A new prescription drug costs more and take up to 10 to 15 years of research to develop before it is introduced in the market. Intervention of computation at some reasonable steps is imperative to bring down the cost and time required in the drug discovery process. In silico modeling is a form of computer based modeling whose technologies are applied in drug target identification or drug discovery processes, cell analysis of prokaryotic and eukaryotic hosts and bioprocess development, optimization, analysis and interpretation of heterogeneous data sets from various sources.

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Wireless sensor technology is playing a vital role in many of the commercialized industrial automation processes and various other real life applications. It is particularly suitable for harsh environment applications where deploying of other network infrastructure is difficult and/or almost impossible such as in battlefield, in hazardous chemical plant, and in high thermal environment. It is not uncommon to see that most of the crucial surveillance and security applications also rely on sensor based applications. Sensors which are tiny in size and cheap in cost have the capabilities to be deployed in a range of applications .

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Sequence alignment is the process of lining up two or more sequences to achieve maximal label of identity, further purpose of accessing is degree of similarity and the possibility of homology. Comparison of more than two string is known as multiple sequence alignment. Multiple sequence alignment (MSA) is a powerful tool in locating similar patterns in biological (DNA and Protein) sequences. The objective of this application is to develop a Multiple sequence alignment tool using star alignment method. This application / project has been developed using Visual Studio.Net and C# as page language was found to be appropriate for a rich user experience, faster code construction, automatic memory allocation and faster debugging.

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Metabolically engineered Escherichia coli have been reported to produce the recombinant lycopene with good yields which is being dependent upon inocula state. Lycopene biosynthesis in Escherichia coli has been constructed by the corresponding single, double and triple gene knockouts and final lycopene yield are reported up to 260 mg/l for 60 h. Improving cells and central components (e.g. assessing cell physiology) of metabolic engineering has been developed a new tools to take advantage of the opportunities arising from the availability of whole-genome sequence information. Cellular phenotype is a manifestation of gene expression levels, metabolic demand, resource availability

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L-glutamic acid is the first amino acid produced commercially per year using coryneform bacteria. L-glutamic acid is one of the major amino acids, present in a wide variety of foods, used as a food additive and flavor enhancer in the form of sodium salt. Corynebacterium glutamicum and related subspecies are has shown remarkable success in industrial biotechnology. These are gram-positive soil bacteria and traditionally well-known as excellent producers of l-amino acids as well becoming flexible, efficient production platforms for various chemicals, materials and fuels.