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Online Journal of Bioinformatics. 01/2011; 12:18-33.
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ABSTRACT: The rapid growth of the Protein Data Bank (PDB) highlights a great challenge for researchers to predict the binding sites of protein for specific metal ion(s). Experimental determination of functional features of a protein is expensive, time consuming and difficult to automate. Therefore, there is a great demand of computational methods for predicting functional features of protein. This review sheds light on currently available in-silico methods including different tools and databases which are based on various information of metal ion and their binding sites (protein residue length, amino acid composition, geometrical and molecular information etc.) and determines the efficiency, speed and accuracy by using diverse algorithms which make the tools beneficial.
Current Bioinformatics 01/2011; 6:444-449. · 0.90 Impact Factor
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ABSTRACT: Global spread of multidrug resistant bacteria like K. pneumoniae and E.coli have raised the alarm for researchers and doctors throughout the world. This new mechanism of resistance as well as the ability of ndm-1 gene to be transferred between the species may end the era of antibiotics treatment. Carbapenems are reliable drug against many multiresistant gram-negative pathogens. A 3-D homology model of NDM-1 was built and analyzed for elucidation of functional site and binding interactions. Present study revealed that Meropenem has good interaction with the active sites of the receptor that could retard the spread of antibiotic resistant bacteria.
International Journal of Bioinformatics Research and Applications 01/2011;
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FEBS Letters 01/2011; · 3.54 Impact Factor
