Journal Article

<i>In silico</i> identification of putative metal binding motifs

Richard Thilakaraj, Krishnan Raghunathan, Sharmila Anishetty and Gautam Pennathur

in Bioinformatics

Volume 23, issue 3, pages 267-271
Published in print February 2007 | ISSN: 1367-4803
Published online November 2006 | e-ISSN: 1460-2059 | DOI: https://dx.doi.org/10.1093/bioinformatics/btl617
In silico identification of putative metal binding motifs

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Metal ion binding domains are found in proteins that mediate transport, buffering or detoxification of metal ions. In this study, we have performed an in silico analysis of metal binding proteins and have identified putative metal binding motifs for the ions of cadmium, cobalt, zinc, arsenic, mercury, magnesium, manganese, molybdenum and nickel. A pattern search against the UniProtKB/Swiss-Prot and UniProtKB/TrEMBL databases yielded true positives in each case showing the high-specificity of the motifs. Motifs were also validated against PDB structures and site directed mutagenesis studies.

Contact:pgautam@annauniv.edu; s_anishetty@yahoo.co.uk

Journal Article.  3041 words. 

Subjects: Bioinformatics and Computational Biology

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