In silico prediction of Metal Binding Sites in Metallothionein Proteins

Journal Title: Applied Science Reports - Year 2013, Vol 1, Issue 2

Abstract

 Mining and smelting operations are two important causes of heavy metal contamination in the environment. Contamination of water and soil, soil erosion, and potential risks to human health occurred due to excessive heavy metals dispersion. Heavy metals are a group of elements whose hydro-geochemistry cycles have been accelerated by human activities. Phytoremediation is one of the promising methods for reclamation of soils contaminated with toxic metals by using hyper accumulator plants . Metallothioneins are a group of ubiquitous low molecular mass cysteine-rich intracellular metal binding proteins with a high affinity for divalent heavy metal ions.Metallothionein proteins of three three plants Oryza sativa, Triticum aestivum and Silene paradoxa are included in this study. MetalDetector web server used in this study to predict metal binding sites of these three proteins. Our results show that Oryza sative and Silene paradoxa are more suitable plants than Triticum aestivum for metal chelating.

Authors and Affiliations

Shahin Gavanji, Mohsen Doostmohammadi, Amin mojiri

Keywords

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  • EP ID EP121046
  • DOI -
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How To Cite

Shahin Gavanji, Mohsen Doostmohammadi, Amin mojiri (2013).  In silico prediction of Metal Binding Sites in Metallothionein Proteins. Applied Science Reports, 1(2), 26-29. https://europub.co.uk/articles/-A-121046