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- Table of Contents
Volume 2012 (2012), Article ID 192867, 8 pages
Computational Prediction of Protein-Protein Interactions of Human Tyrosinase
1College of Biological and Environmental Sciences, Zhejiang Wanli University, Ningbo 315100, China
2Korean Bioinformation Center (KOBIC), Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Republic of Korea
3Department of Biology, College of Life Sciences, Soochow University, Suzhou 215123, China
4Department of Bioinformatics, University of Sciences and Technology, Daejeon 305-350, Republic of Korea
Received 5 January 2012; Accepted 23 January 2012
Academic Editor: Yong-Doo Park
Copyright © 2012 Su-Fang Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The various studies on tyrosinase have recently gained the attention of researchers due to their potential application values and the biological functions. In this study, we predicted the 3D structure of human tyrosinase and simulated the protein-protein interactions between tyrosinase and three binding partners, four and half LIM domains 2 (FHL2), cytochrome b-245 alpha polypeptide (CYBA), and RNA-binding motif protein 9 (RBM9). Our interaction simulations showed significant binding energy scores of −595.3 kcal/mol for FHL2, −859.1 kcal/mol for CYBA, and −821.3 kcal/mol for RBM9. We also investigated the residues of each protein facing toward the predicted site of interaction with tyrosinase. Our computational predictions will be useful for elucidating the protein-protein interactions of tyrosinase and studying its binding mechanisms.
Tyrosinase (EC 220.127.116.11) is ubiquitously distributed in organisms and is a critical enzyme involved in melanin production, with multiple catalytic functions in pigment production [1–3]. Tyrosinase mutations are directly linked to pigmentation disorders in mammals [4, 5] and can cause a browning effect in vegetables [6, 7]. In addition, tyrosinase participates in cuticle formation in insects [8, 9]. In mammals, tyrosinase is a bifunctional enzyme that first converts tyrosine to DOPA and then to DOPA quinone, which is further cyclized and oxidized to produce melanin pigments . The human tyrosinase protein contains two Cu2+-binding sites, two cysteine rich regions, a signal peptide region, a transmembrane anchor domain, and an EGF motif . Two Cu2+ ions in the active site of tyrosinase are coordinated by three histidine residues each and are essential for the enzyme’s catalytic activity . Furthermore, the presence of Cu2+ in the active site of tyrosinase is observed across numerous organisms . Therefore, chelation of tyrosinase Cu2+ by synthetic compounds or agents from natural sources has been targeted as a way to block tyrosinase catalysis for medicinal purposes, darkening problems in agricultural products, and cosmetic interests [14, 15].
As the crystallographic structure of tyrosinase has been gradually elucidated, insights into its catalytic mechanisms and active site have also been revealed [16–18]. However, while the catalytic mechanism of tyrosinase-mediated melanin pigment production has been well studied, the relationship between tyrosinase enzyme activity and protein interactions has not been fully elucidated, despite several reports of interacting proteins for tyrosinase [19–22].
Loss of tyrosinase activity causes oculocutaneous albinism type 1 (OCA 1) in humans . Specifically, studies have identified over 100 different missense, nonsense, insertion, or deletion nucleotide mutations dispersed rather evenly over the entire tyrosinase gene .
In the present study, we modeled the 3D structure of tyrosinase and simulated its protein-protein interactions to understand the structural mechanisms of the binding between tyrosinase and its partners. We deduced the binding sites between tyrosinase and three known interaction partners, four and half LIM domains 2 (FHL2), cytochrome b-245 alpha polypeptide (CYBA), and RNA-binding motif protein 9 (RBM9) and describe their potential regulatory effects with respect to substrate accessibility at the active site of tyrosinase.
2. Materials and Methods
2.1. 3D Structure Homology Modeling of Human Tyrosinase
A three-dimensional model of tyrosinase consisting of 377 aminoacids was constructed using SWISS-MODEL [25, 26] based on homology modeling. The program automatically provides an all-atom model using alignments between the query sequence and known homologous structures. We retrieved known homologous structures of tyrosinase from the Protein Data Bank (PDB) (http://www.pdb.org/) and identified a partially homologous protein (PDB entry: 3NM8 chain B, 32% sequence identity) to serve as a structural template for tyrosinase. Based on the sequence alignment, the 3D structure of tyrosinase was constructed with a high level of confidence.
2.2. Homology Modeling of 3D Structures for FHL2, RBM9, and CYBA
Using the same method described for modeling the structure of tyrosinase, we retrieved known homologous structures from the PDB as follows: 1X4L chain 1 for FHL2 and 2CQ3 chain 1 for RBM9. Structural template sequence identities for FHL2 and RBM9 were 100% and 98%, respectively. In the case of CYBA, there was an available 3D structure in the PDB as 1WLP chain A (identity 100%).
2.3. In Silico Protein-Protein Interactions between Tyrosinase and FHL2, RBM9, and CYBA
There are many tools available for in silico protein-protein docking. In the present study, we used the HEX program  because of its success in the CAPRI (Critical Assessment of Predicted Interactions; http://capri.ebi.ac.uk/) competition with respect to proposing good docking solutions. HEX determines the steric shape, electrostatic potential, and charge density of each protein as expansions of spherical polar Fourier basis functions. The protein surface shapes are calculated to determine the match potential of two proteins. Then, candidate-docking solutions are refined using a “soft” molecular mechanics energy minimization procedure, and the list of docking solutions is clustered to assist in identifying distinct orientations.
3. Results and Discussion
3.1. Computational Prediction of 3D Tyrosinase Structure
The accuracy of structure prediction during homology modeling depends strongly on sequence identity between a query sequence and template structures. In order to simulate tyrosinase 3D structure, we selected a template structure from PDB entry as 3NM8 chain B. The sequence identity was 32%, as shown in Figure 1(a). In the predicted structure of tyrosinase, the binding pocket was located close to two Cu2+ ions (Figure 1(b)). Since the crystallographic structure of human tyrosinase has not been elucidated, it is unclear which residues are glycosylated in the tyrosinase structure. A previous report revealed that human tyrosinase was highly glycosylated [28–30], and it is associated with the correct folding to form the active enzyme. The Cu2+-binding site exists in the tyrosinase active site pocket, and it will be interesting to further study the role of Cu2+ on the conformation stability in addition to the catalytic role.
3.2. Computational Predictions of 3D Structures of FHL2, RBM9, and CYBA
The 3D structure of FHL2 was constructed with 100% sequence identity compared to the template 1X4L chain 1 (Figure 2). In the same way, RBM9 was also constructed with 98% sequence identity compared to the template 2CQ3 chain 1 (Figure 3(a)). As a result of alignment, RBM9 was predicted to contain two helical structures and four beta sheet structures (Figure 3(b)). Meanwhile, the 3D structure of CYBA was modeled with 100% sequence identity template structure (1WLP chain A) (Figure 4).
3.3. Docking Simulation between Tyrosinase and FHL2
The docking between tyrosinase and FHL2 was successful, with significant scores (Eshape score: −543.4 kcal/mol; Eforce score: −51.9 kcal/mol; total score: −595.3 kcal/mol) shown in Figure 5. When searching for binding residues on the surface of tyrosinase facing toward FHL2, we detected LEU58, PHE60, CYS78, THR79, HIS80, GLY81, ASP173, PRO174, SER175, PHE176, LYS177, PRO178, TYR179, GLY180, ASP181, PHE182, ALA183, TRP185, HIS234, GLY235, ILE236, SER237, ASP238, ASP239, GLN240, VAL254, TYR258, LYS260, ILE261, GLU262, ASP266, HIS267, PRO268, PHE269, PHE270, ARG306, ASP307, and GLY308. For FLH2, we found that ASN2, PRO3, ILE4, SER5, GLY6, THR10, LYS11, TYR12, ILE13, TRP20, HIS21, ASN22, ASP23, CYS24, PHE25, ASN26, LYS29, CYS30, SER31, LEU32, SER33, LEU34, VAL35, GLY36, ARG37, GLY38, CYS48, PRO49, ASP50, CYS51, LYS53, and ASP54 were important for the interaction with tyrosinase. Interestingly, several of these residues are known to interact with some inhibitors of tyrosinase [31–35] and are located near the binding sites of FHL2, suggesting that FHL2 may alter the activity of tyrosinase during catalysis.
3.4. Docking Simulation between Tyrosinase and RBM9
As with the case of FHL2, the docking between tyrosinase and RBM9 was successful with significant scores (Eshape score: −609.8 kcal/mol; Eforce score: −211.5 kcal/mol; total score: −821.3 kcal/mol), as shown in Figure 6. When searching for binding residues on the surface of tyrosinase facing toward RBM9, we detected LEU58, PHE60, LYS74, ALA75, GLY76, ILE172, PRO174, SER175, PHE176, LYS177, PRO178, TYR179, GLY180, ASP181, PHE182, ALA183, THR184, TRP185, ARG186, THR187, ARG194, ASN195, ARG196, ARG197, HIS234, GLY235, ILE236, SER237, ASP238, ASP250, GLU262, GLY263, HIS264, ASP266, HIS267, PRO268, PHE269, PHE270, ARG306, ASP307, and GLY308. For RBM9, numerous residues including THR1, PRO2, ARG4, VAL7, SER8, ASN9, ILE10, PRO11, PHE12, ARG13, PHE14, ARG15, ASP16, PRO17, ASP18, LEU19, ARG20, GLN21, MET22, PHE23, GLY24, GLN25, GLY27, LYS28, ILE29, LEU30, ASP31, VAL32, GLU33, ILE34, PHE36, GLY43, PHE44, GLY45, PHE46, VAL47, THR48, GLU50, ILE72, ARG80, VAL81, MET82, and ASN84 were predicted to interact with tyrosinase. By comparing these results with those of FHL2, we found that most of the predicted residues on tyrosinase were common with that of RBM9, implying that the regulatory effect of RBM9 on the activity of tyrosinase might be similar to that of FHL2, as they both dock close to the active site of tyrosinase.
3.5. Docking Simulation Between Tyrosinase and CYBA
The docking between tyrosinase and CYBA was successful with significant scores (Eshape score: −402.1 kcal/mol; Eforce score: −457.0 kcal/mol; total score: −859.1 kcal/mol), as shown in Figure 7. The docking scores for FHL2, RBM9, and CYBA were all similar, suggesting that these three binding proteins have similar affinities with respect to tyrosinase binding. When searching for binding residues on the surface of tyrosinase facing toward CYBA, we detected LEU58, PHE60, TYR73, LYS74, ALA75, GLY76, ILE172, ASP173, PRO174, SER175, PHE176, LYS177, PRO178, TYR179, GLY180, ASP181, PHE182, ALA183, THR184, TRP185, VAL189, ASN195, ARG196, ARG197, ILE236, SER237, ASP238, ASP250, ASP251, HIS253, VAL254, MET255, GLY257, TYR258, LYS260, ILE261, GLU262, GLY263, HIS264, MET265, ASP266, HIS267, PRO268, PHE269, PHE270, ARG306, ASP307, GLY308, and THR309. For CYBA, the binding residues were predicted as LYS6, GLN7, PRO8, PRO9, SER10, ASN11, PRO12, PRO13, PRO14, ARG15, PRO16, PRO17, ALA18, GLU19, ALA20, ARG21, LYS22, and LYS23. Comparing the results of Figures 5 to 7, we identified common tyrosinase-binding residues for FHL2, RBM9, and CYBA, namely, LEU58, PHE60, PRO174, SER175, PHE176, LYS177, PRO178, TYR179, GLY180, ASP181, PHE182, ALA183, TRP185, ILE236, SER237, ASP238, GLU262, ASP266, HIS267, PRO268, PHE269, PHE270, ARG306, ASP307, and GLY308. These results suggest that the three proteins share a common binding site with tyrosinase as well as docking behaviors. All binding residues described above were obtained within 5 Å of each protein.
In this study, we identified three binding proteins that interact with tyrosinase, with binding sites near the active site of tyrosinase where the two Cu2+ ions are located. Since these two Cu2+ ions are necessary for the catalytic activity of tyrosinase toward substrates such as L-tyrosine and L-DOPA, tyrosinase activity could be regulated by FHL2, RBM9, and CYBA. However, this supposition should be confirmed by future studies employing biochemical analyses. With respect to the flexible nature of the active site, Matoba et al.  recently suggested that the active tyrosinase center formed by dinuclear Cu2+ is flexible during catalysis. Our data suggests modulation of tyrosinase activity via the binding of protein partners. Especially, as these proteins dock near the flexible active site of tyrosinase, conformational changes at the active site after binding could be directly related to substrate accessibility. Therefore, FHL2, RBM9, and CYBA could downregulate the activity of human tyrosinase that might be directly related to the reduction of pigmentation production.
Conflict of Interests
We declare that there is no conflict of interests in this study.
This study was supported by the Zhejiang Provincial Top Key Discipline of Modern Microbiology and Application. Dr. G.-Y. Qian was supported by the Grant of the National Basic Research Program of China (973 Preresearch Program) (No. 2011CB111513). Dr. H.-Y. Han was supported by the National Natural Science Foundation of China (No. 81071306). S.-F. Wang was supported by the grant of the Zhejiang Provincial Top Key Discipline of Modern Microbiology and Application (Grant No. KF2011004). Y.-X. Si was financially supported by the Natural Science Foundation of Ningbo City (No. 2011A610039). Dr. J. Lee was supported by a Grant from the Korea Research Institute of Bioscience and Biotechnology (KRIBB) Research Initiative Program.
- Y. Yamaguchi and V. J. Hearing, “Physiological factors that regulate skin pigmentation,” BioFactors, vol. 35, no. 2, pp. 193–199, 2009.
- P. M. Plonka and M. Grabacka, “Melanin synthesis in microorganisms—biotechnological and medical aspects,” Acta Biochimica Polonica, vol. 53, no. 3, pp. 429–443, 2006.
- M. Sugumaran, “Comparative biochemistry of eumelanogenesis and the protective roles of phenoloxidase and melanin in insects,” Pigment Cell Research, vol. 15, no. 1, pp. 2–9, 2002.
- D. Scherer and R. Kumar, “Genetics of pigmentation in skin cancer—a review,” Mutation Research, vol. 705, no. 2, pp. 141–153, 2010.
- B. Kirkwood, “Albinism and its implications with vision,” Insight, vol. 34, no. 2, pp. 13–16, 2009.
- J. J. Nicolas, F. C. Richard-Forget, P. M. Goupy, M. J. Amiot, and S. Y. Aubert, “Enzymatic browning reactions in apple and apple products,” Critical reviews in food science and nutrition, vol. 34, no. 2, pp. 109–157, 1994.
- H. Li, K. W. Cheng, C. H. Cho, Z. He, and M. Wang, “Oxyresveratrol as an antibrowning agent for cloudy apple juices and fresh-cut apples,” Journal of Agricultural and Food Chemistry, vol. 55, no. 7, pp. 2604–2610, 2007.
- A. Nappi, M. Poirié, and Y. Carton, “The role of melanization and cytotoxic by-products in the cellular immune responses of Drosophila against parasitic wasps,” Advances in Parasitology, vol. 70, pp. 99–121, 2009.
- M. Sugumaran, “Comparative biochemistry of eumelanogenesis and the protective roles of phenoloxidase and melanin in insects,” Pigment Cell Research, vol. 15, no. 1, pp. 2–9, 2002.
- C. Olivares and F. Solano, “New insights into the active site structure and catalytic mechanism of tyrosinase and its related proteins,” Pigment Cell and Melanoma Research, vol. 22, no. 6, pp. 750–760, 2009.
- K. Jimbow, J. S. Park, F. Kato et al., “Assembly, target-signaling and intracellular transport of tyrosinase gene family proteins in the initial stage of melanosome biogenesis,” Pigment Cell Research, vol. 13, no. 4, pp. 222–229, 2000.
- J. L. Muñoz-Muñoz, F. Garcia-Molina, R. Varon et al., “Suicide inactivation of the diphenolase and monophenolase activities of Tyrosinase,” IUBMB Life, vol. 62, no. 7, pp. 539–547, 2010.
- J. C. García-Borrón and F. Solano, “Molecular anatomy of tyrosinase and its related proteins: beyond the histidine-bound metal catalytic center,” Pigment Cell Research, vol. 15, no. 3, pp. 162–173, 2002.
- Y. J. Kim and H. Uyama, “Tyrosinase inhibitors from natural and synthetic sources: structure, inhibition mechanism and perspective for the future,” Cellular and Molecular Life Sciences, vol. 62, no. 15, pp. 1707–1723, 2005.
- S. Parvez, M. Kang, H. S. Chung, and H. Bae, “Naturally occurring tyrosinase inhibitors: mechanism and applications in skin health, cosmetics and agriculture industries,” Phytotherapy Research, vol. 21, no. 9, pp. 805–816, 2007.
- W. T. Ismaya, H. J. Rozeboom, A. Weijn et al., “Crystal structure of agaricus bisporus mushroom tyrosinase: identity of the tetramer subunits and interaction with tropolone,” Biochemistry, vol. 50, no. 24, pp. 5477–5486, 2011.
- M. Sendovski, M. Kanteev, V. S. Ben-Yosef, N. Adir, and A. Fishman, “First structures of an active bacterial tyrosinase reveal copper plasticity,” Journal of Molecular Biology, vol. 405, no. 1, pp. 227–237, 2011.
- M. Sendovski, M. Kanteev, V. Shuster Ben-Yosef, N. Adir, and A. Fishman, “Crystallization and preliminary X-ray crystallographic analysis of a bacterial tyrosinase from Bacillus megaterium,” Acta Crystallographica Section F, vol. 66, no. 9, pp. 1101–1103, 2010.
- T. Kobayashi and V. J. Hearing, “Direct interaction of tyrosinase with Tyrp1 to form heterodimeric complexes in vivo,” Journal of Cell Science, vol. 120, no. 24, pp. 4261–4268, 2007.
- H. Watabe, J. C. Valencia, E. Le Pape et al., “Involvement of dynein and spectrin with early melanosome transport and melanosomal protein trafficking,” Journal of Investigative Dermatology, vol. 128, no. 1, pp. 162–174, 2008.
- Z. R. Lü, E. Seo, L. Yan et al., “High-throughput integrated analyses for the tyrosinase-induced melanogenesis: microarray, proteomics and interactomics studies,” Journal of Biomolecular Structure and Dynamics, vol. 28, no. 2, pp. 259–276, 2010.
- I. H. Cho, Z. R. Lü, J. R. Yu et al., “Towards profiling the gene expression of tyrosinase-induced melanogenesis in HEK293 Cells: a functional DNA chip microarray and interactomics studies,” Journal of Biomolecular Structure and Dynamics, vol. 27, no. 3, pp. 331–345, 2009.
- W. S. Oetting, “The tyrosinase gene and oculocutaneous albinism type 1 (OCA1): a model for understanding the molecular biology of melanin formation,” Pigment Cell Research, vol. 13, no. 5, pp. 320–325, 2000.
- S. Shibahara, “Mutations of the tyrosinase gene in oculocutaneous albinism.,” Pigment Cell Research, vol. 5, no. 5, pp. 279–283, 1992.
- L. Bordoli, F. Kiefer, K. Arnold, P. Benkert, J. Battey, and T. Schwede, “Protein structure homology modeling using SWISS-MODEL workspace,” Nature Protocols, vol. 4, no. 1, pp. 1–13, 2009.
- F. Kiefer, K. Arnold, M. Künzli, L. Bordoli, and T. Schwede, “The SWISS-MODEL Repository and associated resources,” Nucleic Acids Research, vol. 37, no. 1, pp. D387–D392, 2009.
- D. W. Ritchie and G. J. L. Kemp, “Protein docking using spherical polar Fourier correlations,” Proteins, vol. 39, no. 2, pp. 178–194, 2000.
- J. S. Hwang, H. Y. Lee, T.-Y. Lim, M. Y. Kim, and T.-J. Yoon, “Disruption of tyrosinase glycosylation by N-acetylglucosamine and its depigmenting effects in guinea pig skin and in human skin,” Journal of Dermatological Science, vol. 63, no. 3, pp. 199–201, 2011.
- N. Branza-Nichita, G. Negroiu, A. J. Petrescu et al., “Mutations at critical N-glycosylation sites reduce tyrosinase activity by altering folding and quality control,” Journal of Biological Chemistry, vol. 275, no. 11, pp. 8169–8175, 2000.
- A. Újvári, R. Aron, T. Eisenhaure et al., “Translation rate of human tyrosinase determines its N-linked glycosylation level,” Journal of Biological Chemistry, vol. 276, no. 8, pp. 5924–5931, 2001.
- Y.-X. Si, Z.-J. Wang, D. Park et al., “Effect of hesperetin on tyrosinase: Inhibition kinetics integrated computational simulation study,” International Journal of Biological Macromolecules, vol. 50, no. 1, pp. 257–262, 2012.
- S.-J. Yin, Y.-X. Si, Z.-J. Wang et al., “The effect of thiobarbituric acid on tyrosinase: inhibition kinetics and computational simulation,” Journal of Biomolecular Structure and Dynamics, vol. 29, no. 3, pp. 463–470, 2011.
- S.-J. Yin, Y.-X. Si, Y.-F. Chen et al., “Mixed-type inhibition of tyrosinase from agaricus bisporus by terephthalic acid: computational simulations and kinetics,” Protein Journal, vol. 30, no. 4, pp. 273–280, 2011.
- Y.-X. Si, S.-J. Yin, D. Park et al., “Tyrosinase inhibition by isophthalic acid: kinetics and computational simulation,” International Journal of Biological Macromolecules, vol. 48, no. 4, pp. 700–704, 2011.
- S. J. Yin, Y. X. Si, and G. Y. Qian, “Inhibitory effect of phthalic acid on tyrosinase: the mixed-type inhibition and docking simulations,” Enzyme Research, vol. 2011, Article ID 294724, 7 pages, 2011.
- Y. Matoba, T. Kumagai, A. Yamamoto, H. Yoshitsu, and M. Sugiyama, “Crystallographic evidence that the dinuclear copper center of tyrosinase is flexible during catalysis,” Journal of Biological Chemistry, vol. 281, no. 13, pp. 8981–8990, 2006.