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Structure and dynamics of the peptide strand KRFK from the thrombospondin TSP-1 in water

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Abstract

Theoretical investigations of a solute in liquid water at normal temperature and pressure can be performed at different levels of theory. Static quantum calculations as well as classical and ab initio molecular dynamics are used to completely explore the conformational space for large solvated molecular systems. In the classical approach, it is essential to describe all of the interactions of the solute and the solvent in detail. Water molecules are very often described as rigid bodies when the most commonly used interaction potentials, such as the SPCE and the TIP4P models, are employed. Recently, a physical model based upon a cluster of rigid water molecules with a tetrahedral architecture (AB4) was proposed that describes liquid water as a mixture of both TIP4P and SPCE molecular species that occur in the proportions implied by the tetrahedral architecture (one central molecule versus four outer molecules; i.e., 20% TIP4P versus 80% SPCE molecules). In this work, theoretical spectroscopic data for a peptide strand were correlated with the structural properties of the peptide strand solvated in water, based on data calculated using different theoretical approaches and physical models. We focused on a particular peptide strand, KRFK (lysine-arginine-phenylalanine-lysine), found in the thrombospondin TSP-1, due to its interesting properties. As the activity and electronic structure of this system is strongly linked to its structure, we correlated its structure with charge-density maps obtained using different semi-empirical charge Qeq equations. The structural and thermodynamic properties obtained from classical simulations were correlated with ab initio molecular dynamics (AIMD) data. Structural changes in the peptide strand were rationalized in terms of the motions of atoms and groups of atoms. To achieve this, conformational changes were investigated using calculated infrared spectra for the peptide in the gas phase and in water solvent. The calculated AIMD infrared spectrum for the peptide was correlated with static quantum calculations of the molecular system based on a harmonic approach as well as the VDOS (vibrational density of states) spectra obtained using various classical solvent models (SPCE, TIP4P, and AB4) and charge maps.

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References

  1. Leung LL (1984) Role of thrombospondin in platelet aggregation. J Clin Invest 74:1764

  2. Bornstein P (2001) Thrombospondins as matricellular modulators of cell function. J Clin Invest 107:929

  3. Lahav J (1993) The functions of thrombospondin and its involvement in physiology and pathophysiology. Biochem Biophys Acta 1182:1–14

  4. Kyriakides TR, Zhu YH, Smith LT, Bain SD, Yang Z, Lin MT, Danielson KG, Lozzo RV, LaMarca M, McKinney CE, Ginns EL, Bornstein P (1998) Mice that lack thrombospondin 2 display connective tissue abnormalities that are associated with disordered collagen fibrillogenesis, an increased vascular density, and a bleeding diathesis. J Cell Biol 140:419–430

    Article  CAS  Google Scholar 

  5. Lawler J, Sunday M, Thibert V, Duquette M, George EL, Rayburn H, Hynes RO (1998) Thrombospondin-1 is required for normal murine pulmonary homeostasis and its absence causes pneumonia. J Clin Invest 101:982–992

    Article  CAS  Google Scholar 

  6. Adams JC, Lawler J (2004) The thrombospondins. Int J Biochem Cell Biol 36:961–968

    Article  CAS  Google Scholar 

  7. Tschoepe D, Schultheib HP, Kolarov P, Schwippert B, Dannehl K, Nieuwenhuis HK, Kehrel B, Strauer B, Gries FA (1993) Platelet membrane activation markers are predictive for increased risk of acute ischemic events after PTCA. Circulation 88:37–42

  8. Adams JC (1997) Thrombospondin-1. Int J Biochem Cell Biol 29:861–865

    Article  CAS  Google Scholar 

  9. Yehualaeshet T, O’Connor R, Green-Johnson J, Mai S, Silverstein R, Murphy-Ullrich JE, Khalil N (1999) Activation of rat alveolar macrophage derived L-TGF-β1 by plasmin requires interaction with TSP-1 and the TSP-1, cell surface receptor CD36. Am J Pathol 155(3):841–851

  10. Solange M, Ribeiro F, Poczatek M, Schultz-Cherry S, Villain M, Murphy-Ullrich JE (1999) The activation sequence of thrombospondin-1 interacts with the latency-associated peptide to regulate activation of latent transforming growth factor-beta. J Biol Chem 274:13586–13593

  11. Yee KO, Streit M, Hawighorst T, Detmar M, Lawler J (2004) Expression of the type-1 repeats of thrombospondin-1 inhibits tumor growth through activation of transforming growth factor-beta. Am J Pathol 165:541–552

  12. Kondou H, Mushiake S, Etani Y, Miyoshi Y, Michigami T, Ozono K (2003) A blocking peptide for transforming growth factor-beta1 activation prevents hepatic fibrosis in vivo. J Hepatol 39:742–748

  13. Ribeiro SMF, Poczatek M, Schultz-Cherry S, Villain M, Murphy-Ullrich JE (1999) The activation sequence of thrombospondin-1 interacts with the latency-associated peptide to regulate activation of latent transforming growth factor-beta. J Biol Chem 274:13586–13593

    Article  CAS  Google Scholar 

  14. Crawford SE, Stellmach V, Murphy-Ullrich JE, Ribeiro SMF, Lawler J, Hynes RO, Boivin GP, Bouck N (1998) Thrombospondin-1 is a major activator of TGF-beta1 in vivo. J Cell 93:1159–1170

  15. Rappé AK, Goddard III WA (1991) Charge equilibration for molecular dynamics simulation. J Phys Chem 95:3358–3363

    Article  Google Scholar 

  16. Rick SW, Stuart SJ, Berne BJ (1994) Dynamical fluctuating charge force fields: application to liquid water. J Chem Phys 101(7):6141–6156

  17. Harder E, Kim B, Friesner RA, Berne BJ (2005) Efficient simulation method for polarizable protein force fields: application to the simulation of BPTI in liquid water. J Chem Theory Comput 1:169–180

  18. Pal SK, Zewail AH (2004) Dynamics of water in biological recognition. Chem Rev 104:2099–2123

  19. Ohno K (1964) Some remarks on the Pariser–Parr–Pople method. Theor Chim Acc 2:219–227

  20. Klopman G (1965) A semi empirical treatment of molecular structures. III. Equipotential orbitals for polyatomic systems. J Am Chem Soc 87:3300–3030

  21. DasGupta A, Huzinaga S (1974) New developments in CNDO molecular orbital theory. Theor Chem Acc 35:329–340

  22. Nishimoto K, Mataga N (1957) Electronic structure and spectra of nitrogen heterocycles. Z Phys Chem 13:140–157

  23. Amrani M, Bendeddouch D, Bormann D, Krallafa A (2008) Isothermal isobaric molecular dynamics simulation of water. J Mol Struct THEOCHEM 867:39–41

    Article  CAS  Google Scholar 

  24. Ryckaert J-P, Ciccotti G, Berendsen HJC (1977) Numerical integration of the Cartesian equations of motion of a system with constraints: molecular dynamics of n-alkanes. J Comput Phys 23(3):327–341

  25. Nose S, Yonezawa F (1985) Isothermal–isobaric computer simulations of melting and crystallization of a Lennard-Jones system. Solid State Commun 56:1009–1013

    Article  CAS  Google Scholar 

  26. Hoover WG (1985) Canonical dynamics: equilibrium phase-space distributions. Phys Rev A 31:1695–1697

    Article  CAS  Google Scholar 

  27. Parrinello M, Rahman A (1981) Polymorphic transitions in single crystals: a new molecular dynamics method. J Appl Phys 52:7182–7190

    Article  CAS  Google Scholar 

  28. Rappé AK, Casewit CJ, Colwell KS, Goddard III WA, Skiff WM (1992) UFF, a full periodic table force field for molecular mechanics and molecular dynamics simulations. J Am Chem Soc 114:10024–10035

  29. Mulliken RS (1955) Electronic population analysis on LCAO-MO molecular wave functions. I. J Chem Phys 23:1833–1840

    Article  CAS  Google Scholar 

  30. Löwdin PO (1950) On the non‐orthogonality problem connected with the use of atomic wave functions in the theory of molecules and crystals. J Chem Phys 18:365

  31. Schmidt MW, Baldridge KK, Boatz JA, Elbert ST, Gordon MS, Jensen JH, Koseki S, Matsunaga N, Nguyen KA, Su S, Windus TL, Dupuis M, Montgomery JA (1993) General atomic and molecular electronic structure system. J Comput Chem 14:1347–1363

    Article  CAS  Google Scholar 

  32. Chekirou N, Krallafa A, Bormann D (2005) Theoretical investigations and mechanisms of the inclusion processes of bi(3-sulfonatophenyl) (4-tert-butylphenyl) phosphine in the β-cyclodextrin. J Incl Phenom Macrocycl Chem 53:89–95

  33. Berendsen HJC, Grigera JR, Straatsma TP (1987) The missing term in effective pair potential. J Phys Chem 91:6269–6271

    Article  CAS  Google Scholar 

  34. Jorgensen WL, Chandrasekhar J, Madura J, Impey R, Klein ML (1983) Comparison of simple potential functions for simulating liquid water. J Chem Phys 79:926–935

    Article  CAS  Google Scholar 

  35. Geerlings P, De Proft F, Langenaeker W (2003) Conceptual density functional theory. Chem Rev 103:1793–1873

    Article  CAS  Google Scholar 

  36. Parr RG, Yang W (1989) Density-functional theory of atoms and molecules. Oxford University Press, New York, pp 3–325

    Google Scholar 

  37. Parrinello M, et al. (2017) CPMD software. IBM Corporation/Max Planck Institute, Armonk/Stuttgart

  38. Lee C, Yang W, Parr RG (1988) Development of the Colle–Salvetti correlation-energy formula into a functional of the electron density. Phys Rev B 37:785–789

  39. Becke AD (1988) Density-functional exchange-energy approximation with correct asymptotic behavior. Phys Rev A 3038:3098

    Article  Google Scholar 

  40. Vanderbilt D (1985) Optimally smooth norm-conserving pseudopotentials. Phys Rev B 32:8412

    Article  CAS  Google Scholar 

  41. Humphrey W, Dalke A, Schulten K (1996) VMD: visual molecular dynamics. J Mol Graph 14:33–388416

    Article  CAS  Google Scholar 

  42. Gongalves S, Bonadeo H (1992) Vibrational densities of states from molecular-dynamics calculations. Phys Rev B 46:12019–12021

    Article  Google Scholar 

  43. Gaigeot M-P, Martinez M, Vuilleumier R (2007) Infrared spectroscopy in the gas and liquid phase from first principle molecular dynamics simulations: application to small peptides. Mol Phys 105(19–22):2857–2878

  44. Cimas A, Vaden TD, de Boer TS, Snoek LC, Gaigeot M-P (2009) Vibrational spectra of small protonated peptides from finite temperature MD simulations and IRMPD spectroscopy. J Chem Theor Comput 5:1068–1107

  45. Torii H, Tasumi M (1992) Model calculations on the amide‐I infrared bands of globular proteins. J Chem Phys 96:3379

  46. Gaigeot MP, Vuilleumier R, Sprik M, Borgis D (2005) Infrared spectroscopy of N-methylacetamide revisited by ab initio molecular dynamics simulations. J Chem Theory Comput 1:772

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Acknowledgements

The authors are deeply grateful to the University of Reims Champagne Ardennes (URCA, France) for providing us with computational resources and time on the Romeo cluster. We are equally grateful to the University of Oran (Algeria) for assigning us computational resources and time on Haytham at the UCI (Unité de Calcul Intensif).

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Correspondence to A. M. Krallafa.

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Taleb Bendiab, W., Benomrane, B., Bounaceur, B. et al. Structure and dynamics of the peptide strand KRFK from the thrombospondin TSP-1 in water. J Mol Model 24, 54 (2018). https://doi.org/10.1007/s00894-018-3583-1

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  • DOI: https://doi.org/10.1007/s00894-018-3583-1

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