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Computational biology and protein modeling of cyanobacteria using bioinformatics tools and techniques

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Author(s): Padhi S.B. | Behera S. | Swain P. | Behura S. | Behera G. | Panigrahi M. | Baidya S. | Mishra A. | Beza S. | Panigrahi H. | Dash N. | Pradhan S | Ratha N.

Journal: International Journal of Bioinformatics Research
ISSN 0975-3087

Volume: 2;
Issue: 2;
Start page: 88;
Date: 2010;
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Keywords: Anabaena sp | Bioinformatics | Computational biology | Cyanobacteria | Outer membrane.

ABSTRACT
Computational biology is a term coined from analogy to the role of physical sciences, is nowcoming into its own as a major element of contemporary biological and biomedical research. In the sharp inthis pattern, over past few years, experiments in life sciences in the academic institutions have begun torecognize the value of bioinformatics and computational biology in the field of algology. Cyanobacteria (alsoknown as blue–green algae) are a group of extraordinarily diverse Gram-negative prokaryotes thatoriginated 3.5 billion years ago. After the advent of bioinformatics in the field of algology, complete genomesequences of Cyanobacteria have been reported in more than 30 species and strains including unicellular.The filamentous cyanobacterium Anabaena sp. PCC 7120 (further referred to as Anabaena sp.) is a modelsystem to study nitrogen fixation, cell differentiation, cell pattern formation and evolution of plastids. It is amulticellular photosynthetic microorganism consisting of two cell types, vegetative cells and nitrogen fixingheterocysts. The nucleotide sequence of the entire genome of a filamentous Cyanobacterium, Anabaena sp.Strain PCC 7120, was determined. This study focuses on the function and dynamics of the proteome of theGram-negative outer membrane in Anabaena sp.
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