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Prediction of Binding Free Energy Calculation Using Molecular Mechanics/Poisson-Boltzmann Surface Area (MM-PBSA) Method in Drug Discovery: A Short Review

  • Kothandan, Gugan (Department of Biochemistry, Centre for Bioinformatics, University of Madras, Guindy campus) ;
  • Cho, Seung Joo (Department of Bio-New Drug Development, College of Medicine, Chosun University)
  • 투고 : 2012.12.03
  • 심사 : 2012.12.21
  • 발행 : 2012.09.30

초록

Structure-based drug design possibly benefit from in silico methods that precisely predict the binding affinity of small molecules to target macromolecules. There are many limitations arise from the difficulty of predicting the binding affinity of a small molecule to a biological target with the current scoring functions. There is thus a strong interest in novel methodologies based on MD simulations that claim predictions of greater accuracy than current scoring functions, helpful for a regular use designed for drug discovery in the pharmaceutical industry. Herein, we report a short review on free energy calculations using MMPBSA method a useful method in structure based drug discovery.

키워드

과제정보

연구 과제 주관 기관 : National Research Foundation of Korea (NRF)

참고문헌

  1. H. Jhoti and A. R. Leach, "Structure-based drug discovery", Springer, Dordrecht, Netherlands, 2007.
  2. W. L. Jorgensen, "The many roles of computation in drug discovery", Science, Vol. 303, pp. 1813- 1818, 2004. https://doi.org/10.1126/science.1096361
  3. G. Klebe, "Virtual ligand screening: strategies, perspectives and limitations", Drug. Discov. Today, Vol. 11, pp. 580-594, 2006. https://doi.org/10.1016/j.drudis.2006.05.012
  4. C. McInnes, "Virtual screening strategies in drug discovery", Curr. Opin. Chem. Biol., Vol. 11, pp. 494-502, 2007. https://doi.org/10.1016/j.cbpa.2007.08.033
  5. G. L. Warren, C. W. Andrews, A. M. Capelli, B. Clarke, J. La-Londe, M. H. Lambert, M. Lindvall, N. Nevins, S. F. Semus, S. Senger, G. Tedesco, I. D. Wall, J. M. Woolven, C. E. Peishoff, and M.S. Head, "A critical assessment of docking programs and scoring functions", J. Med. Chem., Vol. 49, pp. 5912-5931, 2006. https://doi.org/10.1021/jm050362n
  6. W. L. Jorgensen and C. Ravimohan, "Monte carlo simulation of differences in free energies of hydration", J. Chem. Phys., Vol. 83, pp. 3050-3054, 1985. https://doi.org/10.1063/1.449208
  7. C. F. Wong and J. A. McCammon, "Dynamics and design of enzymes and inhibitors", J. Am. Chem. Soc., Vol. 108, pp. 3830-3832, 1986. https://doi.org/10.1021/ja00273a048
  8. N. Foloppe and R. Hubbard, "Towards predictive ligand design with free-energy based computational methods?", Curr. Med. Chem., Vol. 13, pp. 3583- 3608, 2006. https://doi.org/10.2174/092986706779026165
  9. P. Kollman, "Free energy calculations: Applications to chemical and biochemical phenomena", Chem. Rev., Vol. 93, pp. 2395-2417, 1993. https://doi.org/10.1021/cr00023a004
  10. D. A. Case, T. E. Cheathham III, T. Darden, H. Gohlke, R. Luo, K. M. Merz, Jr, A. Onufriev, C. Simmerling, B. Wang, and R. Woods, "The amber biomolecular simulation programs", J. Comput. Chem., Vol. 26, pp. 1668-1688, 2005. https://doi.org/10.1002/jcc.20290
  11. G. Kothandan, T. Madhavan, C. G. Gadhe, and S. J. Cho, "Pseudoreceptor: concept and an overview", J. Chosun Natural Sci., Vol. 3, pp. 162-167, 2010.
  12. S. J. Cho, "Recent development of search algorithm on small molecule docking", J. Chosun Natural Sci., Vol. 2, pp. 55-58, 2009.
  13. S. J. Cho, "Search space reduction techniques in small molecular docking", J. Chosun Natural Sci., Vol. 3, pp. 143-147, 2010.
  14. S. J. Cho, "Calculation and application of partial charges", J. Chosun Natural Sci., Vol. 3, pp. 226- 230, 2010.
  15. S. J. Cho, "Meaning and definition of partial charges", J. Chosun Natural Sci., Vol. 3, pp. 231- 236, 2010.
  16. T. Hou, J. Wang, Y. Li, and W. Wang, "Assessing the performance of the MM/PBSA and MM/GBSA methods. 1. The accuracy of binding free energy calculations based on molecular dynamics simulations", J. Chem. Inf. Model., Vol. 51, pp. 69-82, 2011. https://doi.org/10.1021/ci100275a
  17. N. Singh and A. Warshel, "Absolute binding free energy calculations: On the accuracy of computational scoring of protein-ligand interactions", Proteins, Vol. 78, pp. 1705-1723, 2010.
  18. B. Kuhn, P. Gerber, T. Schulz-Gasch, and M. Stahl, "Validation and use of the MMPBSA approach for drug discovery', J. Med. Chem., Vol. 48, pp. 4040- 4048, 2005. https://doi.org/10.1021/jm049081q
  19. J. M. Hayes, V. T. Skamnaki, G. Archontis, C. Lamprakis, J. Sarrou, N. Bischler, A. L. Skaltsounis, S. E. Zographos and N. G. Oikonomakos, "Kinetics, in silico docking, molecular dynamics, and MMGBSA binding studies on prototype indirubins, KT5720, and staurosporine as phosphorylase kinase ATP-binding site inhibitors: The role of water molecules examined", Proteins, Vol. 79, pp. 703-719, 2011. https://doi.org/10.1002/prot.22890
  20. A. Aleksandrov, D. Thompson, and T. Simonson, "Alchemical free energy simulations for biological complexes: powerful but temperamental", J. Mol. Recogn., Vol. 23, pp. 117-127, 2010.
  21. G. Archontis, T. Simonson, and M. Karplus, "Binding free energies and free energy components from molecular dynamics and Poisson-Boltzmann calculations. Application to amino acid recognition by aspartyl-tRNA synthetase", J. Mol. Biol., Vol. 306, pp. 307-327, 2001. https://doi.org/10.1006/jmbi.2000.4285
  22. D. Thompson, P. Plateau, and T. Simonson, "Freeenergy simulations and experiments reveal longrange electrostatic interactions and substrateassisted specificity in an aminoacyl-tRNAsynthetase', ChemBioChem., Vol. 7, pp. 337-344, 2006. https://doi.org/10.1002/cbic.200500364
  23. G. Rastelli, G. Degliesposti, A. Del Rio, and M. Sgobba, "Binding estimation after refinement, a new automated procedure for the refinement and scoring of docked ligands in virtual screening", Chem. Biol. Drug. Des., Vol. 73, pp. 283-286, 2009. https://doi.org/10.1111/j.1747-0285.2009.00780.x
  24. G. Degliesposti, C. Portioli, M. D. Parenti, and G. Rastelli, "BEAR, a novel virtual screening methodology for drug discovery", J. Biomol. Screen., Vol. 16, pp. 129-133, 2011. https://doi.org/10.1177/1087057110388276

피인용 문헌

  1. A Short Review on the Application of Combining Molecular Docking and Molecular Dynamics Simulations in Field of Drug Discovery vol.7, pp.2, 2014, https://doi.org/10.13160/ricns.2014.7.2.75
  2. Homology Modeling of GPR18 Receptor, an Orphan G-protein-coupled Receptor vol.6, pp.1, 2013, https://doi.org/10.13160/ricns.2013.6.1.016