Prediction of transition metal-binding sites from apo protein structures
Mariana Babor
Department of Plant Sciences, Weizmann Institute of Science, Rehovot, Israel
Search for more papers by this authorSergey Gerzon
Department of Plant Sciences, Weizmann Institute of Science, Rehovot, Israel
Search for more papers by this authorBarak Raveh
Department of Biological Chemistry, Weizmann Institute of Science, Rehovot, Israel
Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
Search for more papers by this authorCorresponding Author
Vladimir Sobolev
Department of Plant Sciences, Weizmann Institute of Science, Rehovot, Israel
Plant Sciences Department, Weizmann Institute of Science, Rehovot 76100, Israel===Search for more papers by this authorCorresponding Author
Marvin Edelman
Department of Plant Sciences, Weizmann Institute of Science, Rehovot, Israel
Plant Sciences Department, Weizmann Institute of Science, Rehovot 76100, Israel===Search for more papers by this authorMariana Babor
Department of Plant Sciences, Weizmann Institute of Science, Rehovot, Israel
Search for more papers by this authorSergey Gerzon
Department of Plant Sciences, Weizmann Institute of Science, Rehovot, Israel
Search for more papers by this authorBarak Raveh
Department of Biological Chemistry, Weizmann Institute of Science, Rehovot, Israel
Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
Search for more papers by this authorCorresponding Author
Vladimir Sobolev
Department of Plant Sciences, Weizmann Institute of Science, Rehovot, Israel
Plant Sciences Department, Weizmann Institute of Science, Rehovot 76100, Israel===Search for more papers by this authorCorresponding Author
Marvin Edelman
Department of Plant Sciences, Weizmann Institute of Science, Rehovot, Israel
Plant Sciences Department, Weizmann Institute of Science, Rehovot 76100, Israel===Search for more papers by this authorAbstract
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. Proteins 2008. © 2007 Wiley-Liss, Inc.
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REFERENCES
- 1 Friedberg I, Jambon M, Godzik A. New avenues in protein function prediction. Protein Sci 2006; 15: 1527–1529.
- 2 Bernstein FC, Koetzle TF, Williams GJB, Meyer EF, Brice MD, Rodgers JR, Kennard O, Shimanouchi T, Tasumi M. Protein data bank—computer-based archival file for macromolecular structures. J Mol Biol 1977; 112: 535–542.
- 3 Castagnetto JM, Hennessy SW, Roberts VA, Getzoff ED, Tainer JA, Pique ME. MDB: the metalloprotein database and browser at the scripps research institute. Nucleic Acids Res 2002; 30: 379–382.
- 4 Golovin A, Dimitropoulos D, Oldfield T, Rachedi A, Henrick K. MSDsite: a database search and retrieval system for the analysis and viewing of bound ligands and active sites. Proteins 2005; 58: 190–199.
- 5 Andreini C, Bertini I, Rosato A. A hint to search for metalloproteins in gene banks. Bioinformatics 2004; 20: 1373–1380.
- 6 Lin CT, Lin KL, Yang CH, Chung IF, Huang CD, Yang YS. Protein metal binding residue prediction based on neural networks. Int J Neural Syst 2005; 15: 71–84.
- 7 Passerini A, Punta M, Ceroni A, Rost B, Frasconi P. Identifying cysteines and histidines in transition-metal-binding sites using support vector machines and neural networks. Proteins 2006; 65: 305–316.
- 8 Sodhi JS, Bryson K, McGuffin LJ, Ward JJ, Wernisch L, Jones DT. Predicting metal-binding site residues in low-resolution structural models. J Mol Biol 2004; 342: 307–320.
- 9 Schymkowitz JWH, Rousseau F, Martins IC, Ferkinghoff-Borg J, Stricher F, Serrano L. Prediction of water and metal binding sites and their affinities by using the Fold-X force field. Proc Natl Acad Sci USA 2005; 102: 10147–10152.
- 10 Babor M, Greenblatt HM, Edelman M, Sobolev V. Flexibility of metal binding sites in proteins on a database scale. Proteins 2005; 59: 221–230.
- 11 Auld DS. Zinc coordination sphere in biochemical zinc sites. Biometals 2001; 14: 271–313.
- 12 Alberts IL, Nadassy K, Wodak SJ. Analysis of zinc binding sites in protein crystal structures. Protein Sci 1998; 7: 1700–1716.
- 13 Andreini C, Banci L, Bertini I, Rosato A. Counting the zinc-proteins encoded in the human genome. J Proteome Res 2006; 5: 196–201.
- 14 Vallee BL, Auld DS. Zinc coordination, function, and structure of zinc enzymes and other proteins. Biochem 1990; 29: 5647–5659.
- 15 Wang GL, Dunbrack RL. PISCES: a protein sequence culling server. Bioinformatics 2003; 19: 1589–1591.
- 16 Sobolev V, Eyal E, Gerzon S, Potapov V, Babor M, Prilusky J, Edelman M. SPACE: a suite of tools for protein structure prediction and analysis based on complementarity and environment. Nucleic Acids Res 2005; 33: W39–W43.
- 17 Murzin AG, Brenner SE, Hubbard T, Chothia C. SCOP—a structural classification of proteins database for the investigation of sequences and structures. J Mol Biol 1995; 247: 536–540.
- 18 McDonald IK, Thornton JM. The application of hydrogen-bonding analysis in X-ray crystallography to help orientate asparagines, glutamine and histidine side-chains. Protein Eng 1995; 8: 217–224.
- 19 Dunbrack RL, Cohen FE. Bayesian statistical analysis of protein side-chain rotamer preferences. Protein Sci 1997; 6: 1661–1681.
- 20 Bondi A. Van der Waals volumes and radii. J Phys Chem 1964; 68: 441–451.
- 21 Breiman L, Friedman J, Stone CJ, Olshen RA. Classification and regression trees. Boca Raton: CRC Press; 1998.
- 22 Chapelle O, Haffner P, Vapnik VN. Support vector machines for histogram-based image classification. IEEE Trans Neural Network 1999; 10: 1055–1064.
- 23 Scholkopf B, Smola AJ, Williamson RC, Barlett PL. New support vector algorithms. Neural Comput 2000; 12: 1207–1245.
- 24 Wallace AC, Laskowski RA, Thornton JM. Derivation of 3D coordinate templates for searching structural databases: application to Ser-His-Asp catalytic triads in the serine proteinases and lipases. Protein Sci 1996; 5: 1001–1013.
- 25 Sander C, Schneider R. Database of homology-derived protein structures and the structural meaning of sequence alignment. Proteins 1991; 9: 56–68.
- 26 Mirny L, Shakhnovich E. Evolutionary conservation of the folding nucleus. J Mol Biol 2001; 308: 123–129.
- 27 Bock CW, Kaufman-Katz A, Markham GD, Glusker JP. Manganese as a replacement for magnesium and zinc: functional comparison of the divalent ions. J Am Chem Soc 1999; 121: 7360–7372.
- 28 Gibrat JF, Madej T, Bryant SH. Surprising similarities in structure comparison. Curr Opin Struct Biol 1996; 6: 377–385.
- 29 Oefner C, Douangamath A, D'Arcy A, Hafeli S, Mareque D, Mac Sweeney A, Padilla J, Pierau S, Schulz H, Thormann M, Wadman S, Dale GE. The 1.15 Å crystal structure of the Staphylococcus aureus methionyl-aminopeptidase and complexes with triazole based inhibitors. J Mol Biol 2003; 332: 13–21.
- 30 Du XL, Wang WR, Kim R, Yakota H, Nguyen H, Kim SH. Crystal structure and mechanism of catalysis of a pyrazinamidase from Pyrococcus horikoshii. Biochemistry 2001; 40: 14166–14172.
- 31 Kemp LE, Bond CS, Hunter WN. Structure of 2C-methyl-D-erythritol 2,4-cyclodiphosphate synthase: an essential enzyme for isoprenoid biosynthesis and target for antimicrobial drug development. Proc Natl Acad Sci USA 2002; 99: 6591–6596.
- 32 Wu J, Howe DL, Woodard RW. Thermotoga maritima 3-deoxy-D-arabino-heptulosonate 7-phosphate (DAHP) synthase—the ancestral eubacterial DAHP synthase? J Biol Chem 2003; 278: 27525–27531.
- 33 Oefner C, Douangamath A, D'Arcy A, Hafeli S, Mareque D, Mac Sweeney A, Padilla J, Pierau S, Schulz H, Thormann M, Wadman S, Dale Ge. The 1.15 angstrom crystal structure of the Staphylococcus aureus methionyl-aminopeptidase and complexes with triazole based inhibitors. J Mol Biol 2003; 332: 13–21.
- 34 LeClere S, Tellez R, Rampey RA, Matsuda SPT, Bartel B. Characterization of a family of IAA-amino acid conjugate hydrolases from Arabidopsis. J Biol Chem 2002; 277: 20446–20452.
- 35 Lambert JM, Boocock MR, Coggins JR. The 3-dehydroquinate synthase activity of the pentafunctional arom enzyme complex of neurospora-crassa is Zn2+-dependent. Biochem J 1985; 226: 817–829.
- 36 Urbaniak MD, Crossman A, Chang TH, Smith TK, van Aalten DMF, Ferguson MAJ. The N-acetyl-D-glucosaminylphosphatidylinositol De-N-acetylase of glycosylphosphatidylinositol biosynthesis is a zinc metalloenzyme. J Biol Chem 2005; 280: 22831–22838.
- 37 Arakawa N, Igarashi M, Kazuoka T, Oikawa T, Soda K. D-arginase of Arthrobacter sp KUJ 8602: characterization and its identity with Zn2+-guanidinobutyrase. J Biochem (Tokyo) 2003; 133: 33–42.
- 38 Larson TJ, Ehrmann M, Boos W. Periplasmic glycerophosphodiester phosphodiesterase of Escherichia coli, a new enzyme of the GLP region. J Biol Chem 1983; 258: 5428–5432.
- 39 Robertson JG, Villafranca JJ. Characterization of metal-ion activation and inhibition of CTP synthetase. Biochem 1993; 32: 3769–3777.
- 40 Dudev T, Lin YL, Dudev M, Lim C. First-second shell interactions in metal binding sites in proteins: a PDB survey and DFT/CDM calculations. J Am Chem Soc 2003; 125: 3168–3180.
- 41 Schomburg I, Chang A, Ebeling C, Gremse M, Heldt C, Huhn G, Schomburg D. BRENDA, the enzyme database: updates and major new developments. Nucleic Acids Res 2004; 32: D431–D433.
- 42 Murakami MT, Fernandes-Pedrosa MF, Tambourgi DV, Arni RK. Structural basis for metal ion coordination and the catalytic mechanism of sphingomyelinases D. J Biol Chem 2005; 280: 13658–13664.
- 43 Finn RD, Mistry J, Schuster-Böckler B, Griffiths-Jones S, Hollich V, Lassmann T, Moxon S, Marshall M, Khanna A, Durbin R, Eddy SR, Sonnhammer ELL, Bateman A. Pfam: clans, web tools and services. Nucleic Acids Res 2006; 34: D247–D251.
- 44 Cordes MHJ, Binford GJ. Lateral gene transfer of a dermonecrotic toxin between spiders and bacteria. Bioinformatics 2006; 22: 264–268.
- 45 van der Rest B, Rolland N, Boisson AM, Ferro M, Bligny R, Douce R. Identification and characterization of plant glycerophosphodiester phosphodiesterase. Biochem J 2004; 379: 601–607.
- 46 Ishikawa K, Ishida H, Matsui I, Kawarabayasi Y, Kikuchi H. Novel bifunctional hyperthermostable carboxypeptidase/aminoacylase from Pyrococcus horikoshii OT3. Appl Environ Microbiol 2001; 67: 673–679.
- 47 Liaw SH, Chen SJ, Ko TP, Hsu CS, Chen CJ, Wang AHJ, Tsai YC. Crystal structure of D-aminoacylase from Alcaligenes faecalis DA1—a novel subset of amidohydrolases and insights into the enzyme mechanism. J Biol Chem 2003; 278: 4857–4962.
- 48 Lai WL, Chou LY, Ting CY, Kirby R, Tsai YC, Wang AHJ, Liaw SH. The functional role of the binuclear metal center in D-aminoacylase—one-metal activation and second-metal attenuation. J Biol Chem 2004; 279: 13962–13967.
- 49 Janda I, Devedjiev Y, Derewenda U, Dauter Z, Bielnicki J, Cooper DR, Graf PCF, Joachimiak A, Jakob U, Derewenda ZS. The crystal structure of the reduced, Zn2+-bound form of the B. subtilis Hsp33 chaperone and its implications for the activation mechanism. Structure 2004; 12: 1901–1907.
- 50 Evans JC, Huddler DP, Jiracek J, Castro C, Millian NS, Garrow TA, Ludwig ML. Betaine-homocysteine methyltransferase: zinc in a distorted barrel. Structure 2002; 10: 1159–1171.
- 51 Shi WX, Zhan CY, Ignatov A, Manjasetty BA, Marinkovic N, Sullivan M, Huang R, Chance MR. Metalloproteomics: high-throughput structural and functional annotation of proteins in structural genomics. Structure 2005; 13: 1473–1486.