Abstract
TrkB is a high affinity receptor for the brain derived neurotrophic factor (BDNF) and its phosphorylation stimulates activation of several intracellular signalling pathways linked to cellular growth, differentiation and maintenance. Identification of various activators and inhibitors of the TrkB receptor and greater understanding their binding mechanisms is critical to elucidate the biochemical and pharmacological pathways and analyse various protein crystallization studies. The data presented here is related to the research article entitled “Brain Derived neurotrophic factor is involved in the regulation of glycogen synthase kinase 3β (GSK3β) signalling” [1]. Cyclotraxin B (CTXB) is a disulphide bridge linked cyclic peptide molecule that interacts with TrkB receptor and inhibits the BDNF/TrkB downstream signalling. This article reports for the first time binding mechanism and interaction parameters of CTXB with the TrkB receptor. The molecular model of CTXB has been generated and it’s docking with TrkB domain carried out to determine the critical residues involved in the protein peptide interaction.
Keywords: TrkB, Cyclotraxin B, GSK3β, Docking
Specifications Table
Subject area | Biology |
More specific subject area | Protein-peptide binding and interactions |
Type of data | Table, protein-peptide interaction images and tables |
How data was acquired | Molecular modeling and in silico analysis |
Data format | Analysed |
Experimental factors | Molecular modeling and docking |
Experimental features | Amino acid orientations and type of interactions, energy minimization. |
Data source location | Australia |
Data accessibility | Data within this article |
Value of the data
-
•
Three dimensional molecular model of the cyclic peptide cyclotraxin B was generated for the first time to determine its interactions with the TrkB receptor.
-
•
Future studies to determine pharmacological, biochemical or interaction studies of TrkB receptor or related molecules will be facilitated by the interaction and binding parameters reported here.
-
•
Binding interactions of CTXB with TrkB will determine its potential usage in pharmacological studies and development of new derivatives and ligands.
1. Data
The data shown here elucidates molecular modeling of cyclic peptide cyclotraxin B which is a TrkB inhibitor. Active site of the extracellular D5 domain of the TrkB receptor which is primarily involved in this interaction was also modelled. Finally the cyclic peptide inhibitor was also identified and docking carried out with the extracellular D5 domain of TrkB. The interacting amino acid residues that are involved in docking are identified and various interaction parameters provided in detail using a combination of molecular modeling and molecular docking computational tools.
2. Experimental design, materials and methods
2.1. Selection and preparation of cyclotraxin B, TrkB inhibitor
Cyclotraxin B (CTXB) is a cyclic peptide chain of 10 amino acid linked by a disulphide bridge [2]. It is an inhibitor of the TrkB receptor activation and its downstream signalling pathway mediated by BDNF binding [1], [3], [4], [5]. Cyclization is important to provide stability to the peptide macromolecule. The primary structure of the peptide is known and in this manuscript we report for the first time the putative three dimensional structure of the peptide (Fig. 1A). The two dimensional (2D) and three dimensional (3D) structure of the CTXB was built using ChemDraw Ultra 8.0 (Cambridgesoft, Waltham, MA, USA) (Fig. 1B and C). Extensive energy minimization was performed using the Austin Model-1 (AM1) programme until the root mean square (RMS) gradient value became smaller than 0. 100 kcal/mol Å. The molecule was further subjected to re-optimization via MOPAC (Molecular Orbital Package) method [6] until the RMS gradient attained a value lesser than 0.0001 kcal/mol Å. The chemical properties of CTXB was calculated by ACD (Advanced Chemistry Development, Canada) labs Chemsketch software and the data is presented in Table 1 [7].
Table 1.
Chemical properties | Calculations |
---|---|
Molecular formula | C48H73N13O17S3 |
Formula weight | 1200.36512 |
Composition | C(48.03%) H(6.13%) N(15.17%) O(22.66%) S(8.01%) |
Molar refractivity | 296.25±0.4 cm3 |
Molar volume | 805.8±5.0 cm3 |
Parachor | 2467.9±6.0 cm3 |
Index of refraction | 1.656±0.03 |
Surface tension | 87.9±5.0 dyne/cm |
Density | 1.48±0.1 g/cm3 |
Dielectric constant | Not available |
Polarizability | 117.44±0.5 10-24 cm3 |
Monoisotopic mass | 1199.440948 Da |
Nominal mass | 1199 Da |
Average mass | 1200.3651 Da |
2.2. Molecular modeling and generation of TrkB binding region
The primary structure of TrkB receptor and its various domains were examined [8]. Crystal structure of the extracellular D5 domain of the TrkB which exhibits binding with the human Neurotrophin-4/5 (NT-4/5) ligand (PDB id: 1HCF) was selected from the protein databank [9]. The asymmetric unit of the crystal structure contains a single copy of the TrkB-D5:NT-4/5 complex, comprising one homodimer of NT-4/5 bound to two monomers of TrkB-D5. The two monomer chain of TrkB-D5 (chains X and Y) are identical. These chains are known to interact with the BDNF/ NT-4/5 protein. Only chain X of PDB id 1HCF was considered in the present study for its potential interactions with the CTXB that highlights the location of the conserved interaction site. The optimization of proteins was carried out using well characterized UCSF Chimera software (San Francisco, California, USA), implying amber parameters, followed by minimization with MMTK (Molecular Modeling Toolkit) method. The steepest minimizations was first performed in 1000 steps to relieve highly unfavourable clashes than followed by conjugate gradient minimization in 500 steps with a step size of 0.02 Å for more effective reaching an energy minimum [10], [11].
2.3. Identification of CTXB binding site
The protein motif was subjected to in silico assessment of the potential binding of selected CTXB residues to different regions on the TrkB D5 surfaces. This binding interactions were assessed in terms of probability of CTXB participating residues binding to the TrkB D5 receptor surface and theoretical scores determined using the PepSite2 server [12]. Peptide binding may also affect the tyrosine phosphorylation profile [13] of the TrkB receptor translating into its altered activity which can be assessed in future investigations. Surface accessibility of the ligand to various binding pockets was also examined [14].
PepSite2 is a computational tool that scans the surface of a given protein for patches or grooves that are likely to influence binding of individual amino acid residues or peptides up to ten amino acids and provides a score that reflects the propensity of the peptide to bind to that region. The PepSite score is expressed in relative units and the higher scores reflects superior binding. We applied PepSite in a sliding window of 10 residues to assess the binding of the TrkB-D5 domain and CTXB peptide sequence (CNPMGYTKEG). The scores of the CTXB binding to different regions of TrkB D5 domain are presented (Fig. 2A, Model 1, Table 2) [1].
Table 2.
Rank | Peptide sequence order | Pepsite2 score |
---|---|---|
1 | CNPMYK | 0.02733 |
2 | CNPMYK | 0.03015 |
3 | CNPMYK | 0.03266 |
4 | CNPMYK | 0.03583 |
5 | CNPMYK | 0.03719 |
6 | CNPMYK | 0.04098 |
7 | CNPMYK | 0.04435 |
8 | CNPMYK | 0.04993 |
9 | PMGYTK | 0.05985 |
10 | PMGYTK | 0.06992 |
2.4. Peptide docking in the binding region
The protein-peptide docking was performed with the PatchDock software available in the public domain [15]. The crystal structure of TrkB (PDB ID: 1HCF) was retrieved from Protein Data Bank. The single chain of TrkB-D5 as described previously was used for docking study under default complex-type settings. Molecular visualization and general analysis were done using the program PyMOL and Discovery Studio 4.0 softwares [16]. TrkB residues closer than 5.5 Å to any of the C-terminal NT-4/5 amino acids (Cys345-Asn350) were selected for docking (Fig. S1). The docking scores, atomic contact energies and geometrical parameters are compiled as Table 3. The hydrogen bond between TrkB-D5 and CTXB (rank 1) was observed to be formed between the amino acid residues His353, Met354, Ala376, His377 and Trp381 (Fig. 3A). The pi-sulpha interaction was also observed between CTXB and Met354 (Fig. 3B). Surface binding of CTXB with TrkB-D5 domain is shown in Fig. 3C. The selected binding pocket of TrkB-D5 was observed to overlap with the C-terminal region of the NT-4/5 binding site (Fig. S2). The two dimensional (2D) interaction map was created by LigPlot+ which helped to identify new interacting residues in the TrKB-D5:CTXB complex [17]. Ser294, Asn320, Gln373 and Ser375 of TrkB-D5 were identified to form hydrogen bonds with CTXB. Trp381 was observed to be involved in CTXB TrkBD5 binding using both the Discovery Studio 4.0 as well as the LigPlot+ programmes (Fig. S3).
Table 3.
Rank | Score | Area | ACE | Transformation |
1 | 5538 | 652.1 | −344.82 | −0.57 −1.01 −2.62 −10.48 −3.78 29.57 |
2 | 5282 | 597.6 | −272.85 | −1.01 −0.26 0.32 −12.66 −4.68 28.84 |
3 | 5100 | 620 | −330.86 | –1.52 0.07 0.81 –11.83 –7.13 27.44 |
4 | 4966 | 528.9 | −126.23 | –0.31 –0.63 –2.16 –22.34 8.83 21.59 |
5 | 4878 | 623.4 | −300.47 | 2.71 0.78 −1.27 −13.25 −4.12 29.20 |
6 | 4824 | 571.7 | −214.66 | –0.11 1.20 2.50 –5.75 11.23 7.03 |
7 | 4800 | 621.7 | −217.57 | –2.59 –0.46 0.54 –22.14 6.07 23.60 |
8 | 4678 | 531.9 | −182.76 | −0.67 −0.16 −1.87 −20.33 9.72 23.42 |
9 | 4654 | 512.8 | −234.35 | 0.84 −0.57 0.51 −12.13 −2.05 31.89 |
10 | 4642 | 570.9 | −250.43 | −1.34 0.11 −1.76 −23.69 10.32 20.31 |
11 | 4606 | 539.9 | −170.59 | 0.32 −1.01 2.51 −22.65 10.28 21.86 |
12 | 4536 | 521.6 | −189.48 | −3.07 −0.42 0.56 −20.13 9.32 24.74 |
13 | 4530 | 735.8 | −436.61 | −0.46 1.21 −2.78 −3.58 11.15 12.99 |
14 | 4522 | 622 | −273.37 | −1.99 −0.45 2.81 −8.24 −1.98 30.78 |
15 | 4358 | 547.6 | −276.07 | 0.05 −0.96 2.97 −7.11 −6.08 31.48 |
16 | 4264 | 468.6 | −196.84 | 2.26 –0.23 2.23 –1.86 14.82 14.52 |
17 | 4242 | 531.7 | −154.98 | −0.67 –0.38 −2.13 −16.81 14.23 21.56 |
18 | 4240 | 548.7 | −304.69 | 0.50 −0.35 −0.24 −6.28 11.67 5.72 |
19 | 4234 | 458.8 | −155.03 | 2.26 −0.60 −2.85 −2.98 13.89 13.16 |
20 | 4230 | 653.7 | −351.22 | −0.76 1.23 2.83 −5.51 13.82 10.66 |
Acknowledgements
Supported by funds from the NHMRC, Ophthalmic Research Institute of Australia (ORIA) and MQRDG (9201301278) grants.
Footnotes
Supplementary data associated with this article can be found in the online version at doi:10.1016/j.dib.2016.01.016.
Contributor Information
Nitin Chitranshi, Email: nitinchitranshi@gmail.com.
Vivek Gupta, Email: vivek.gupta@mq.edu.au.
Appendix A. Supplementary material
References
- 1.Gupta V., Chitranshi N., You Y., Klistorner A., Graham S. Brain derived neurotrophic factor is involved in the regulation of glycogen synthase kinase 3beta (GSK3beta) signalling. Biochem. Biophys. Res. Commun. 2014;454:381–386. doi: 10.1016/j.bbrc.2014.10.087. [DOI] [PubMed] [Google Scholar]
- 2.Gupta V.K., You Y., Li J.C., Klistorner A., Graham S.L. Protective effects of 7,8-dihydroxyflavone on retinal ganglion and RGC-5 cells against excitotoxic and oxidative stress. J. Mol. Neurosci. 2013;49:96–104. doi: 10.1007/s12031-012-9899-x. [DOI] [PubMed] [Google Scholar]
- 3.Gupta V.K., You Y., Klistorner A., Graham S.L. Shp-2 regulates the TrkB receptor activity in the retinal ganglion cells under glaucomatous stress. Biochim. Biophys. Acta. 2012;1822:1643–1649. doi: 10.1016/j.bbadis.2012.07.016. [DOI] [PubMed] [Google Scholar]
- 4.Gupta V.K., You Y., Gupta V.B., Klistorner A., Graham S.L. TrkB receptor signalling: implications in neurodegenerative, psychiatric and proliferative disorders. Int. J. Mol. Sci. 2013;14:10122–10142. doi: 10.3390/ijms140510122. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Gupta V., You Y., Li J., Gupta V., Golzan M., Klistorner A., van den Buuse M., Graham S. BDNF impairment is associated with age-related changes in the inner retina and exacerbates experimental glaucoma. Biochim. Biophys. Acta. 2014;1842:1567–1578. doi: 10.1016/j.bbadis.2014.05.026. [DOI] [PubMed] [Google Scholar]
- 6.Chitranshi N., Gupta V., Kumar S., Graham S.L. Exploring the molecular interactions of 7,8-dihydroxyflavone and its derivatives with TrkB and VEGFR2 proteins. Int. J. Mol. Sci. 2015;16:21087–21108. doi: 10.3390/ijms160921087. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Raj L.S.M., J J., I K., Krishna P.S., K A.S. Molecular docking study for inhibitors of Aggregatibacter actinomycetamcomitans toxins in treatment of aggressive perioodontitis. J. Clin. Diagn. Res. 2014;8:ZC48–ZC51. doi: 10.7860/JCDR/2014/10067.5133. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Basavarajappa D.K., Gupta V.K., Dighe R., Rajala A., Rajala R.V. Phosphorylated Grb14 is an endogenous inhibitor of retinal protein tyrosine phosphatase 1B, and light-dependent activation of Src phosphorylates Grb14. Mol. Cell. Biol. 2011;31:3975–3987. doi: 10.1128/MCB.05659-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Berman H., Henrick K., Nakamura H. Announcing the worldwide Protein Data Bank. Nat. Struct. Biol. 2003;10:980. doi: 10.1038/nsb1203-980. [DOI] [PubMed] [Google Scholar]
- 10.Pettersen E.F., Goddard T.D., Huang C.C., Couch G.S., Greenblatt D.M., Meng E.C., Ferrin T.E. UCSF Chimera--a visualization system for exploratory research and analysis. J. Comput. Chem. 2004;25:1605–1612. doi: 10.1002/jcc.20084. [DOI] [PubMed] [Google Scholar]
- 11.Chitranshi N., Gupta S., Tripathi P.K., Seth P.K. New molecular scaffolds for the design of Alzheimer׳s acetylcholinesterase inhibitors identified using ligand- and receptor-based virtual screening. Med. Chem. Res. 2013;22:2328–2345. [Google Scholar]
- 12.Petsalaki E., Stark A., Garcia-Urdiales E., Russell R.B. Accurate prediction of peptide binding sites on protein surfaces. Plos. Comput. Biol. 2009;5:e1000335. doi: 10.1371/journal.pcbi.1000335. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Gupta V.K., Rajala A., Rajala R.V. Insulin receptor regulates photoreceptor CNG channel activity. Am. J. Physiol. Endocrinol. Metab. 2012;303:E1363–E1372. doi: 10.1152/ajpendo.00199.2012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Gupta V.K., Gowda L.R. Alpha-1-proteinase inhibitor is a heparin binding serpin: molecular interactions with the Lys rich cluster of helix-F domain. Biochimie. 2008;90:749–761. doi: 10.1016/j.biochi.2008.01.004. [DOI] [PubMed] [Google Scholar]
- 15.Schneidman-Duhovny D., Inbar Y., Nussinov R., Wolfson H.J. PatchDock and Symm Dock: servers for rigid and symmetric docking. Nucleic Acids Res. 2005;33:W363–W367. doi: 10.1093/nar/gki481. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Simmons A.D., Nguyen T.K., Follis J.L., Ribes-Zamora A. Using a PyMOL activity to reinforce the connection between genotype and phenotype in an undergraduate genetics laboratory. Plos. One. 2014;9:e114257. doi: 10.1371/journal.pone.0114257. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Laskowski R.A., Swindells M.B. LigPlot+: multiple ligand-protein interaction diagrams for drug discovery. J. Chem. Inf. Model. 2011;51:2778–2786. doi: 10.1021/ci200227u. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.