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Organized microbial gene expression under the concept of operons is a well-established concept. An operon-esque gene arrangement in the plant kingdom has been brought to the limelight with the help of recent developments in genetics, biochemistry and bioinformatics. We aim to explore the interactions between various gene products (enzymes) from the gene clusters of the 12 chromosomes in Oryza sativa Japonica and Oryza sativa Indica. Sequence information of the all the reviewed signature and tailoring genes were retrieved. The 3-dimentional structures of these proteins were predicted using Bioinformatics tools. The interactions among various predicted structures were ascertained by molecular docking techniques. The hypothesis that the various signature gene products and the corresponding tailoring gene products of the gene clusters of Oryza undergo protein-protein interaction was substantiated by the reliable molecular docking results reveals perfect interaction which leads to production of metabolites. The dendrogram generated for each signature gene products displays the evolutionary relationship with similar proteins from other species or the predicted/hypothetical proteins suggested by the algorithm. [ABSTRACT FROM AUTHOR]

Hepatitis C is widely spread and induces life threatening situations. Researchers from various fields have developed vaccine, but they are not that effective because of the variation in genotype of Hepatitis virus and also not much affordable. In-silico approach is of greater importance in designing and testing the model vaccine. In this study, investigation has been done for the available Bioinformatics tools and methodologies used in HCV research. Different types of tools and databases commonly used by researchers were reviewed to get an overall picture of bioinformatics techniques, computational biology tools and databases used in Hepatitis C Virus research. Exclusive study has also done to figure out different statistical methods used by different research groups. This paper will provide an up-to-date picture of computation approaches used for exploring Hepatitis C treatment. [ABSTRACT FROM AUTHOR]