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Identification of Angiotensin Converting Enzyme Inhibitor: An In Silico Perspective

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Abstract

Angiotensin Converting Enzyme (ACE) regulates blood pressure and electrolyte balance by converting angiotensin I into angiotensin II, which acts as vasoconstrictor and aldosterone-stimulating peptide. ACE is also known to inactivate vasodilators, bradykinin and angiotensin 1–7 peptide. Thus, the down-regulation of ACE activity would be very beneficial in various cardiovascular diseases. In present in silico approach, virtual screening was performed to identify possible novel inhibitors of testis ACE (tACE) from ZINC database using Dockblaster. All screened compounds were filtered through Lipinski’s rules and other properties. PyRx tool was then implemented to dock selected compounds. Finally, ligand ZINC48251687 re-docked using Autodock 4.2 with His 383, His 387 and Glu 411 as flexible residues of tACE. Molecular Dynamics simulation was then carried out to investigate the binding stability of the screened ligand in a dynamic environment. It has been observed that tACE-ligand complex was quite stable over the entire simulation run. We found that ligand was stabilized by strong hydrogen bonding interactions with Ala 354, Ala 356, Tyr 523 and Zn2+ of tACE. Thus, ZINC48251687 could be used as starting point for the development of new non-peptidic inhibitor of tACE and for designing drug against cardiovascular and related renal diseases.

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References

  • Barage SH, Jalkute CB, Dhanavade MJ, Sonawane KD (2013) Virtual screening and molecular dynamics simulation study of hECE-1 protease inhibitors. Res J Pharm Biol Chem Sci 4:1279–1291

    CAS  Google Scholar 

  • Barage SH, Sonawane KD (2014) Exploring Mode of Phosphoramidon and Aβ Peptide Binding to hECE-1 by Molecular Dynamics and Docking Studies. Protein Pept Lett 21:140–152

    Article  CAS  PubMed  Google Scholar 

  • Carlsson J, Coleman RG, Setola V, Irwin JJ, Fan H, Schlessinger A, Sali A, Roth BL, Shoichet BK (2011) Ligand discovery from a dopamine D3 receptor homology model and crystal structure. Nat Chem Biol 7:769–778

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Dhanavade MJ, Sonawane KD (2014) Insights into the molecular interactions between aminopeptidase and amyloid beta peptide using molecular modeling techniques. Amino Acids 46:1853–1866

    Article  CAS  PubMed  Google Scholar 

  • Dhanavade MJ, Jalkute CB, Barage SH, Sonawane KD (2013) Homology modeling, molecular docking and MD simulation studies to investigate role of cysteine protease from Xanthomonas campestris in degradation of Aβ peptide. Comput Biol Med 43:2063–2070

    Article  CAS  PubMed  Google Scholar 

  • Ehlers MRW, Fox EA, Strydom DJ, Riordan JF (1989) Molecular cloning of human testicular angiotensin-converting enzyme: the testis isozyme is identical to the C-terminal half of endothelial angiotensin-converting enzyme. Proc Natl Acad Sci 86:7741–7745

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Essmann U, Perera L, Berkowitz ML, Darden T, Lee H, Pedersen LG (1995) A smooth particle mesh Ewald method. J Chem Phys 103:8577–8593

    Article  CAS  Google Scholar 

  • Hess B, Bekker H, Berendsen HJC, Fraaije JGEM (1997) LINCS: a linear constraint solver for molecular simulations. J Comput Chem 18:1463–1472

    Article  CAS  Google Scholar 

  • Humphrey W, Dalke A, Schulten K (1996) VMD: visual molecular dynamics. J Mol Graph 14:33–38

    Article  CAS  PubMed  Google Scholar 

  • Irwin JJ, Shoichet BK (2005) ZINC–a free database of commercially available compounds for virtual screening. J Chem Inf Model 45:177–182

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Irwin JJ, Raushel FM, Shoichet BK (2005) Virtual screening against metalloenzymes for inhibitors and substrates. Biochemistry 44:12316–12328

    Article  CAS  PubMed  Google Scholar 

  • Irwin JJ, Shoichet BK, Mysinger MM, Huang N, Colizzi F, Wassam P, Cao Y (2009) Automated docking screens: a feasibility study. J Med Chem 52:5712–5720

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Jalil JE, Palomera C, Ocaranza MP, Godoy I, Roman M, Chiong M, Lavandero S (2003) Levels of plasma angiotensin-(1–7) in patients with hypertension who have the angiotensin-I-converting enzyme deletion/deletion genotype. Am J Cardiol 92:749–751

    Article  CAS  PubMed  Google Scholar 

  • Jalkute CB, Barage SH, Dhanavade MJ, Sonawane KD (2013) Molecular Dynamics Simulation and Molecular Docking Studies of Angiotensin Converting Enzyme with Inhibitor Lisinopril and Amyloid Beta Peptide. Protein J 32:356–364

    Article  CAS  PubMed  Google Scholar 

  • Lagorce D, Sperandio O, Galons H, Miteva MA, Villoutreix BO (2008) FAF-Drugs2: free ADME/tox filtering tool to assist drug discovery and chemical biology projects. BMC Bioinformatics 9:396

    Article  PubMed Central  PubMed  Google Scholar 

  • Lewis EJ, Hunsicker LG, Bain RP, Rohde RD (1993) Effect of Angiotensin Converting Enzyme on diabetic nephropathy. New Engl J Med 329:1456–1462

    Article  CAS  PubMed  Google Scholar 

  • Lipinski CA, Lombardo F, Dominy BW, Feeney PJ (2001) Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings. Adv Drug Deliver Rev 46:3–26

    Article  CAS  Google Scholar 

  • M´endez-Cuesta CA, M´endez-Lucio O, Castillo R (2010) Homology modeling, docking and molecular dynamics of the Leishmania Mexicana arginase: a description of the catalytic site useful for drug design. J Mol Graph Model 38:50–59

    Article  Google Scholar 

  • Morris GM, Huey R, Lindstrom W, Sanner MF, Belew RK, Goodsell DS, Olson AJ (2009) AutoDock4 and AutoDock Tools4: automated docking with selective receptor flexibility. J Comput Chem 30:2785–2791

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Murphey LJ, Gainer JV, Vaughan DE, Brown NJ (2000) Angiotensin-converting enzyme insertion/deletion polymorphism modulates the human in vivo metabolism of bradykinin. Circulation 102:829–832

    Article  CAS  PubMed  Google Scholar 

  • Natesh R, Schwager SLU, Sturrock ED, Acharya KR (2003) Crystal structure of the human angiotensin-converting enzyme–lisinopril complex. Nature 421:551–554

    Article  CAS  PubMed  Google Scholar 

  • Natesh R, Schwager SLU, Evans HR, Sturrock ED, Acharya KR (2004) Structural details on the binding of antihypertensive drugs captopril and enalaprilat to human testicular Angiotensin I-Converting Enzyme. Biochemistry 43:8718–8724

    Article  CAS  PubMed  Google Scholar 

  • Oprea TI, Matter H (2004) Integrating virtual screening in lead discovery. Curr Opin Chem Biol 8:349–358

    Article  CAS  PubMed  Google Scholar 

  • Pettersen EF, Goddard TD, Huang CC, Couch GS, Greenblatt DM, Meng EC, Ferrin TE (2004) UCSF Chimera-a visualization system for exploratory research and analysis. J Comput Chem 25:1605–1612

    Article  CAS  PubMed  Google Scholar 

  • Remuzzi R (1997) Randomised placebo-controlled trial of effect of ramipril on decline in glomerular filtration rate and risk of terminal renal failure in proteinuric, non-diabetic nephropathy. Lancet 349:1857–1863

    Article  Google Scholar 

  • Rocha GB, Freire RO, Simas AM, Stewart JJP (2006) RM1: a Reparameterization of AM1 for H, C, N, O, P, P, F, Cl, Br, and I. J Comp Chem 27:1101–1111

    Article  CAS  Google Scholar 

  • Rog T, Pasenkiewicz-Gierula M (2001) Cholesterol effects on the phosphatidylcholine bilayer nonpolar region: a molecular simulation study. Biophys J 81:2190–2202

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Ruddigkeit L, Awale M, Reymond JL (2014) Expanding the fragrance chemical space for virtual screening. J Cheminform 6:27

    Article  PubMed Central  PubMed  Google Scholar 

  • Schuttelkopf AW, van Aalten DM (2004) PRODRG: a tool for high-throughput crystallography of protein-ligand complexes. Acta Crystallogr D Biol Crystallogr 60:1355–1363

    Article  PubMed  Google Scholar 

  • Shoichet BK (2004) Virtual screening of chemical libraries. Nature 432:862–865

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Siamopoulos KC, Kalaitzidis RG (2008) Inhibition of the renin-angiotensin system and chronic kidney disease. Int Urol Nephrol 10:100–107

    Google Scholar 

  • Soubrier F, Alhenc-Gelas F, Hubert C, Allegrini J, John M, Tregear G, Corvol P (1988) Two putative active centers in human angiotensin I-converting enzyme revealed by molecular cloning. Proc Natl Acad Sci 85:9386–9390

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Tseng GN, Sonawane KD, Korolkova YV, Zhang M, Liu J, Grishin EV, Guy HR (2007) Probing the outer mouth structure of the HERG channel with peptide toxin footprinting and molecular modeling. Biophys J 92:3524–3540

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Upadhyay SK, Sasidhar YU (2012) Molecular simulation and docking studies of Gal1p and Gal3p proteins in the presence and absence of ligands ATP and galactose: implication for transcriptional activation of GAL genes. J Comput Aided Mol Des 26:847–864

  • Van Der Spoel D, Lindahl E, Hess B, Groenhof G, Mark AE, Berendsen HJ (2005) GROMACS: fast, flexible, and free. J Comput Chem 26:1701–1718

    Article  Google Scholar 

  • Waeber B, Nussberger J, Brunner HR (1995) Angiotensin-converting enzyme inhibitors in hypertension. In: Laragh J, Brenner B (eds) Hypertension: pathophysiology, diagnosis and management, Raven Press, New York, pp 2861–2875

  • Xin H, William HS (2003) Docking studies of matrix metalloproteinase inhibitors: zinc parameter optimization to improve the binding free energy prediction. J Mol Graph Model 22:115–126

    Article  Google Scholar 

Download references

Acknowledgments

CBJ is thankful to Shivaji University, Kolhapur for providing fellowship in the form of Golden Jubilee Research Fellowship. MJD is gratefully acknowledged to Department of Science and Technology, New Delhi for providing fellowship as research assistance under the scheme Promotion of University Research and Scientific Excellence (DST-PURSE). KDS is thankful to University Grants Commission, New Delhi for providing research Grants. Authors are thankful to Computer Centre, Shivaji University, Kolhapur for providing computational facility.

Conflict of interest

Chidambar Jalkute, Sagar Barage, Maruti Dhanavade and Kailas Sonawane declare that they have no conflict of interest.

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This article does not contain any studies with human or animal subjects performed by any of the authors.

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Correspondence to Kailas D. Sonawane.

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Jalkute, C.B., Barage, S.H., Dhanavade, M.J. et al. Identification of Angiotensin Converting Enzyme Inhibitor: An In Silico Perspective. Int J Pept Res Ther 21, 107–115 (2015). https://doi.org/10.1007/s10989-014-9434-8

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  • DOI: https://doi.org/10.1007/s10989-014-9434-8

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