Literature DB >> 17657805

Prediction of transition metal-binding sites from apo protein structures.

Mariana Babor1, Sergey Gerzon, Barak Raveh, Vladimir Sobolev, Marvin Edelman.   

Abstract

Metal ions are crucial for protein function. They participate in enzyme catalysis, play regulatory roles, and help maintain protein structure. Current tools for predicting metal-protein interactions are based on proteins crystallized with their metal ions present (holo forms). However, a majority of resolved structures are free of metal ions (apo forms). Moreover, metal binding is a dynamic process, often involving conformational rearrangement of the binding pocket. Thus, effective predictions need to be based on the structure of the apo state. Here, we report an approach that identifies transition metal-binding sites in apo forms with a resulting selectivity >95%. Applying the approach to apo forms in the Protein Data Bank and structural genomics initiative identifies a large number of previously unknown, putative metal-binding sites, and their amino acid residues, in some cases providing a first clue to the function of the protein. (c) 2007 Wiley-Liss, Inc.

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Year:  2008        PMID: 17657805     DOI: 10.1002/prot.21587

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  35 in total

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9.  Predicting small ligand binding sites in proteins using backbone structure.

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Journal:  Bioinformatics       Date:  2008-10-21       Impact factor: 6.937

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