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Prediction of heparin binding sites on GAPDH
 

Prediction of heparin binding sites on GAPDH

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    Prediction of heparin binding sites on GAPDH Prediction of heparin binding sites on GAPDH Document Transcript

    • Prediction of heparin binding sites on GAPDH Clarisa M. Torres-Bugeau, Cesar L. Avila, Rosana N. Chehín. Departamento de Bioquímica de la Nutrición, Instituto Superior de Investigaciones Biológicas (INSIBIO) and Instituto de Química Biológica Dr Bernabé Bloj (CONICET-UNT) Chacabuco 461 (T4000ILI) Tucumán, Argentina. e-mail:ctorres@fbqf.unt.edu.ar Abstract ResultsBackgroundLewy bodies and Lewy neuritis, neuropathological characteristics of Parkinson’s disease, 1BFC 2AXM 3MKPare mainly made by filamentous assemblies of α-synuclein. However, glycosaminoglycans(GAGs) along with other proteins like tau and Glyceraldehyde-3-phosphatedehydrogenase (GAPDH) are routinely found associated with these amyloid deposits. Ithas been suggested that GAPDH:GAGs interaction may play a key role in the formation ofLewy´s bodies and it must be considered as main actors in Parkinson’s disease and otherdiseases involving α-synuclein aggregates. Indeed, it has been demonstrated thatheparin is able to trigger the GAPDH amyloid fibrils formation which in turn can alsoinduce a cross-seeding effect on the fibrillation of α-synuclein.ResultsHerein, we conducted an in silico search for heparin binding sites on GAPDH aided with Ref RMSD 1.96 A Ref RMSD 0.15 Athe program AutoDock. Because of the high charge density and the weak surface Ref RMSD 1.63 Acomplementarity of the sulfated sugar chain, prediction of heparin binding sites on Fig. 3. Conformation clustering for flexible docking solutions of heparin on 1BFC, 2AXM and 3MKP.protein presents a challenging task for computational docking. We developed a protocol From each set of solutions the largest cluster was selected (red). The RMSD of the best solution from the crystalographic structure is also depicted.that was able to successfully reproduce heparin binding sites on thrombin light chain andacidic and basic fibroblast growth factor, three proteins for which structures of theircomplexes with heparin are available. This procedure was then used to predict theheparin binding site on GAPDH. The results indicate that positively charged residues playa critical role in the interaction with the sulfate and carboxylate groups of the GAG chain.ConclusionsGiven the importance of protein-glycosaminoglycan interactions, the identification ofprotein sequences that interact specifically with heparin could shed light on themechanism of protein amyloidogenesis. Methods Docking calculations. A global search for heparin binding sites on GAPDH was conducted using the program AutoDock (version 4.2). The crystal structure for rabbit muscle GAPDH was taken from 1J0X. The Autodock Tools package was used for setting up all input files for docking calculations. Overlapping grids of probe atom interaction energies were computed with a spacing of 0.375 Å spanning all the protein solvent accessible surface. The ligand probes were then hard-docked by Lamarckian Genetic Algorithm. A focused docking experiment using a flexible ligand was derived from 100 different runs on the grid with lowest interaction energy from the previous step. A clustering analysis was conducted on the resulting structures using a 2.0 A root mean squared deviation Fig. 4. Front and close-up view of the protein-ligand complex. Licorice model is used to represent (RMSD) cutoff. The docking protocol was evaluated on a test set including protein- heparin, while the electrostatic potential is mapped onto the solvent accessible surface of the heparin complexes structures taken from the Brookhaven database: 1BFC, 2AXM and GAPDH; a blue color indicates a region of positive potential (+10 kT/e), red indicates a negative 3MKP for bFGF, aFGF and hepatocyte GF. potential (-10 kT/e) and white a neutral potential. The figures were composed using VMD. Electrostatic potentials for GAPDH were computed using APBS. The schematic diagrams for the interactions between the docked hexasaccharide and the protein was generated with LIGPLOT. A B C A B Fig. 1. Protein-heparin complexes structures taken from the Brookhaven database: (A) 3MKP, (B) 2AXM and (C) 1BFC. SGN IDS Atom name Residue charge Atom type Atom name Residue charge Atom type C1 0.13 C C1 0.13 C C2 0.13 C C2 0.13 C C3 0.13 C C3 0.13 C C4 0.13 C C4 0.13 C C5 0.13 C C5 0.13 C C6 0.21 C C6 0.5 C N -0.74 N O1 -0.3 OA HN 0.25 HD O2 -0.55 OA O1 -0.3 OA O3 -0.5 OA O3 -0.5 OA H3 0.4 HD H3 0.4 HD O5 -0.3 OA O5 -0.3 OA O61 -0.7 OA Fig. 5. Binding mode of heparin to GAPDH with the protein shown in cartoon representation, O6 -0.55 OA O62 -0.7 OA heparin and selected aminoacids side-chain in licorice representation (A). Schematic representation of the interaction generated with Ligplot (B). S1 1.24 S S 1.3 S O1S -0.6 OA O1S -0.6 OA O2S -0.6 OA O2S -0.6 OA O3S -0.6 OA O3S -0.6 OA S2 1.24 S O4S -0.6 OA Fig. 2. Structure of the heparin O5S -0.6 OA hexamer (top) and dimer (bottom) O6S -0.6 OA used in the docking studies. Table 1. Charge and atom type assigned to each atom of the molecule of heparin Conclusions • The docking protocol used in this work was able to correctly localize the heparin binding sites on three test case heparin binding proteins, i.e. bFGF, aFGF and hepatocyte GF. • According to our results, electrostatic interactions are the main driving force for heparin binding to GAPDH. • A consistent set of residues was identified as possible interaction partners for heparin in GAPDH. This set includes Lys 104, Lys 183 and Lys 191 which are found to form hydrogen bonds with sulfate and carboxylate groups on heparin while residues Val98 and Ser189 are involved in hydrophobic contacts. • The heparin binding site on GAPDH is close to the catalytic active site. This is in accordance with experimental results which demonstrated that protein substrates such as Glyceraldehide-3-phosphate are able to inhibit the fibrilation process, probably through competition for the binding site.