Genome‐wide computational determination of the human metalloproteome. Issue 5 (4th April 2015)
- Record Type:
- Journal Article
- Title:
- Genome‐wide computational determination of the human metalloproteome. Issue 5 (4th April 2015)
- Main Title:
- Genome‐wide computational determination of the human metalloproteome
- Authors:
- Azia, Ariel
Levy, Ronen
Unger, Ron
Edelman, Marvin
Sobolev, Vladimir - Abstract:
- <abstract abstract-type="main"> <title>ABSTRACT</title> <p>Accurate prediction of protein function in humans is important for understanding biological processes at the molecular level in biomedicine and drug design. Over a third of proteins are commonly held to bind metal, and ∼10% of human proteins, to bind zinc. Therefore, an initial step in protein function prediction frequently involves predicting metal ion binding. In recent years, methods have been developed to predict a set of residues in 3D space forming the metal‐ion binding site, often with a high degree of accuracy. Here, using extensions of these methods, we provide an extensive list of human proteins and their putative metal ion binding site residues, using translated gene sequences derived from the complete, resolved human genome. Under conditions of ∼90% selectivity, over 900 new human putative metal ion binding proteins are identified. A statistical analysis of resolved metal ion binding sites in the human metalloproteome is furnished and the importance of remote homology analysis is demonstrated. As an example, a novel metal‐ion binding site involving a complex of a botulinum substrate with its inhibitor is presented. On the basis of the location of the predicted site and the interactions of the contacting residues at the complex interface, we postulate that metal ion binding in this region could influence complex formation and, consequently, the functioning of the protein. Thus, this work provides testable<abstract abstract-type="main"> <title>ABSTRACT</title> <p>Accurate prediction of protein function in humans is important for understanding biological processes at the molecular level in biomedicine and drug design. Over a third of proteins are commonly held to bind metal, and ∼10% of human proteins, to bind zinc. Therefore, an initial step in protein function prediction frequently involves predicting metal ion binding. In recent years, methods have been developed to predict a set of residues in 3D space forming the metal‐ion binding site, often with a high degree of accuracy. Here, using extensions of these methods, we provide an extensive list of human proteins and their putative metal ion binding site residues, using translated gene sequences derived from the complete, resolved human genome. Under conditions of ∼90% selectivity, over 900 new human putative metal ion binding proteins are identified. A statistical analysis of resolved metal ion binding sites in the human metalloproteome is furnished and the importance of remote homology analysis is demonstrated. As an example, a novel metal‐ion binding site involving a complex of a botulinum substrate with its inhibitor is presented. On the basis of the location of the predicted site and the interactions of the contacting residues at the complex interface, we postulate that metal ion binding in this region could influence complex formation and, consequently, the functioning of the protein. Thus, this work provides testable hypotheses about novel functions of known proteins. Proteins 2015; 83:931–939. © 2015 Wiley Periodicals, Inc.</p> </abstract> … (more)
- Is Part Of:
- Proteins. Volume 83:Issue 5(2015)
- Journal:
- Proteins
- Issue:
- Volume 83:Issue 5(2015)
- Issue Display:
- Volume 83, Issue 5 (2015)
- Year:
- 2015
- Volume:
- 83
- Issue:
- 5
- Issue Sort Value:
- 2015-0083-0005-0000
- Page Start:
- 931
- Page End:
- 939
- Publication Date:
- 2015-04-04
- Subjects:
- Proteins -- Periodicals
Proteins -- Periodicals
572.6 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/prot.24790 ↗
- Languages:
- English
- ISSNs:
- 0887-3585
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6936.164000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 3164.xml