Abstract
	More and more computational resources for microRNAs (miRNAs) have been developed in recent years. That may lead to selective difficulty, mistakes of usage and confusion due to their confined scope of usage. Here, we summarize and classify the knowledge that has been accumulated in the fields and present a novel tool, MRST (miRNA resource store tool), for the storage of miRNA resources.
	Keywords   microRNA, target gene, computational algorithm.

	Abstract
	Mutations in the avian influenza virus can create new pathogenic strains, which can cause future pandemics. Targeting the surface haemagglutinin can inhibit viral fusion and consequent entry. The effects of 27 single and double point mutations on the properties of the H5 haemagglutinin were studied. These mutations were then introduced individually in the PDB file of the H5, to generate mutants. 13 herbal and non-herbal lead inhibitors of H5 were screened and docked with the wild type and mutant haemagglutinins to obtain a comparative docking profile...
	Keywords   H5N1 inhibitors, effect of H5 mutations,

	Abstract
	Fermentation products are indigenous to many civilizations, and they have been produced by industries since a long time. Saccharomyces cerevisiae S288C (commonly known as bakers yeast) is the strain mainly used in the Glucose based fermentation industries. We have seen the use of same yeast strain at different places with different Phenotypic Constraints. The way to improve the adaptability of considered strain for desired phenotypic conditions, using smart selection of genes through cybernetic modeling is illustrated...
	Keywords   Cybernetic, Phylogeny, Domains, Homologues, Micro-environment

	Abstract
	Protein-Protein interactions (PPIs) are vital to most biological processes thus the identification of PPIs is of primary importance. In the present work, we endeavor to identify the downstream interaction partners of Mitogen Activated Protein Kinase3 (MAPK3) in Arabidopsis Thaliana using the information of protein sequences through Support Vector Machine (SVM) approach. The approach here used is supervised learning based on physiochemical properties of protein sequences through which we predict whether the MAPK3 proteins interact with downstream transcription factor proteins viz...
	Keywords   Protein-Protein interactions (PPIs); Mitogen Activated Protein Kinase3 (MAPK3); Support Vector Machine (SVM), Transcription Factor (TF)

	Abstract
	DNA sequence search is a fundamental topic in bioinformatics. The Smith-Waterman algorithm achieved highest accuracy among various sequence alignment tools, but it usually spends much computational time to search on large DNA sequence database. On the contrary, BLAST and FASTA have improved the search speed by using heuristic approaches, by there is a possibility of missing an alignment or giving inaccurate output. This paper presents an efficient hierarchical method to improve the search speed while the accurate is being kept constant...
	Keywords   Fast search, DNA sequence, Histogram information, Smith-Waterman algorithm

	Abstract
	Conformational preferences of hypermodified nucleotide lysidine in the model diphosphate (Me-p-k2Cp-Me) segment of anticodon loop of tRNAIle have been studied by using quantum chemical perturbative configuration interaction with localized orbitals (PCILO) method. The consequences of 5-3 diphosphate backbone on the conformation of zwitterionic, non-zwitterionic, neutral and tautomeric forms of lysidine have been investigated and compared with diphosphate backbone of cytidine nucleotide. Automated geometry optimization using semi-empirical quantum chemical RM1, quantum mechanical Hartree-Fock (HF-SCF) and Density Functional Theory (B3LYP/6-31G**) calculations have also been made to compare the salient features...
	Keywords   Hypermodified nucleotide, tRNA, lysidine (k2C), PCILO, DFT, 5