In silicoidentification of putative metal binding motifs | Zendy

Richard Thilakaraj | Zendy; Krishnan Raghunathan | Zendy; Sharmila Anishetty | Zendy; Gautam Pennathur | Zendy

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In silicoidentification of putative metal binding motifs

Author(s) -

Richard Thilakaraj,

Krishnan Raghunathan,

Sharmila Anishetty,

Gautam Pennathur

Publication year - 2006

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btl617

Subject(s) - in silico , computational biology , identification (biology) , binding site , biology , computer science , genetics , gene , botany

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.

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