Skip to main content
  • 192 Accesses

Summary

The development of similarity methods for fast flexible ligand superposition has recently received considerable attention. These efforts have brought similarity methods to a level of performance comparable to the well established protein-ligand docking methods for binding mode assessment and molecular database screening. However, the strengths and intrinsic limitations of both methodologies have been also stressed out extensively. As the number of resolved ligand-bound protein structures increases, combining ligand-based and receptor-based approaches emerges as a consensus strategy to maximally exploit the structural information available and improve the results obtained with either of the methods alone.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Walters, P.A., Stahl, M.T. and Murcko, M.A., Drug Discov. Today, 3 (1998) 160.

    Article  CAS  Google Scholar 

  2. Armstrong, R.W., Combs, A.P., Tempest, P.A., Brown, S.D. and Keating, T.A., Acc. Chem. Res., 29 (1996) 123.

    Article  CAS  Google Scholar 

  3. Koltermann, A., Kettling, U., Bieschke, J., Winkler, T. and Eigen, M., Proc. Natl. Acad. Sci. USA, 95 (1998) 1421.

    Article  PubMed  CAS  Google Scholar 

  4. VanDrie, J.H. and Lajiness, M.S., Drug Discov. Today, 3 (1998) 274.

    CAS  Google Scholar 

  5. Kubinyi, H., Curr. Opin. Drug Discov. Develop., 1 (1998) 16.

    CAS  Google Scholar 

  6. Ghose, A.K., Viswanadhan, V.N. and Wendoloski, J.J., In Parrill, A. and Reddy, M.R. (Eds.) Rational Drug Design, American Chemical Society, Washington, DC, 1998.

    Google Scholar 

  7. Clark, D.E., Drug Discov. Today, 5 (2000) 49.

    Article  PubMed  CAS  Google Scholar 

  8. Martin, J.L., Curr. Med. Chem., 3 (1996) 419.

    CAS  Google Scholar 

  9. Kuntz, I.D., Science, 257 (1992) 1078.

    PubMed  CAS  Google Scholar 

  10. Böhm, H.-J., Curr. Opin. Biotechnol., 7 (1996) 433.

    PubMed  Google Scholar 

  11. Kuntz, I.D., Blaney, J.M., Oatley, S.J., Langridge, R.L. and Femn, T.E., J. Mol. Biol., 161 (1982) 269.

    Article  PubMed  CAS  Google Scholar 

  12. Rarey, M., Kramer, B., Lengauer, T. and Klebe, G., J. Mol. Biol., 261 (1996) 470.

    Article  PubMed  CAS  Google Scholar 

  13. Welch, W., Ruppert, J. and Jain, A.N., Chem. Biol., 3 (1996) 449.

    Article  PubMed  CAS  Google Scholar 

  14. Jones, G., Willett, P., Glen, R.C., Leach, A.R. and Taylor, R., J. Mol. Biol., 267 (1997) 727.

    Article  PubMed  CAS  Google Scholar 

  15. Moms, G.M., Goodsell, D.S., Halliday, R.S., Huey, R., Hart, W.E., Belew, R.K. and Olson, A.J., J. Comput. Chem., 19 (1998) 1639.

    Google Scholar 

  16. Sun, Y., Ewing, T.J., Skillman, A.G. and Kuntz, I.D., J. Comput.-Aided Mol. Design, 12 (1998) 597.

    Article  CAS  Google Scholar 

  17. Baxter, C.A., Murray, C.W., Clark, D.E., Westhead, D.R. and Eldridge, M.D. Proteins, 33 (1998) 367.

    Article  PubMed  CAS  Google Scholar 

  18. Wang, J., Kollman, P.A. and Kuntz, I.D., Proteins, 36 (1999) 1.

    Article  PubMed  CAS  Google Scholar 

  19. Trosset, J.Y. and Scheraga, H.A., J. Comput. Chem., 20 (1999) 412.

    CAS  Google Scholar 

  20. Fradera, X., Knegtel, R.M.A. and Mestres, J., Proteins Struct. Funct. Genet., 40 (2000) 623.

    PubMed  CAS  Google Scholar 

  21. Ewing, T. and Kuntz, I.D., J. Comput. Chem., 18 (1997) 1175.

    Article  CAS  Google Scholar 

  22. Vieth, M., Hirst, J.D., Dominy, B.N., Daigler, H. and Brooks III, C.L., J. Comput. Chem., 19 (1998) 1623.

    CAS  Google Scholar 

  23. Bush, B.L. and McCammon, J.A., Biophys. J., 72 (1997) 1047.

    PubMed  Google Scholar 

  24. Ajay, and Murcko, M.A., J. Med. Chem., 38 (1996) 4953.

    Google Scholar 

  25. Raffa, R.B., Life Sci., 65 (1999) 967.

    Article  PubMed  CAS  Google Scholar 

  26. Friesner, R.A. and Beachy, M.D., Curr. Opin. Struct. Biol., 8 (1998) 257.

    Article  PubMed  CAS  Google Scholar 

  27. Monard, G. and Merz Jr., K.M., Acc. Chem. Res., 32 (1999) 904.

    Article  CAS  Google Scholar 

  28. Vieth, M., Hirst, J.D., Kolinski, A. and Brooks III, C.L., J. Comput. Chem., 19 (1998) 1612.

    CAS  Google Scholar 

  29. Tame, J.R.H., J. Comput.-Aided Mol. Design, 13 (1999) 99.

    Article  CAS  Google Scholar 

  30. Knegtel, R.M.A., Bayada, D.M., Engh, R.A., von der Saal, W., van Geerestein, V.J. and Grootenhuis, P.D.J. J. Comput.-Aided Mol. Design, 13 (1999) 167.

    Article  CAS  Google Scholar 

  31. Muegge, I. and Martin, Y.C., J. Med. Chem., 42 (1999) 791.

    PubMed  CAS  Google Scholar 

  32. Gschwend, D.A. and Kuntz, I.D., J. Comput.-Aided Mol. Design, 10 (1996) 123.

    Article  CAS  Google Scholar 

  33. Leach, A.R., J. Mol. Biol., 235 (1994) 345.

    Article  PubMed  CAS  Google Scholar 

  34. Knegtel, R.M.A., Kuntz, I.D. and Oshiro, C.M., J. Mol. Biol., 266 (1997) 424.

    Article  PubMed  CAS  Google Scholar 

  35. Apostolakis, J., Pluckthun, A. and Caflisch, A,, J. Comput. Chem., 19 (1998) 21.

    Article  CAS  Google Scholar 

  36. Sandak, B., Wolfson, H.J. and Nussinov, R., Proteins, 32 (1998) 159.

    Article  PubMed  CAS  Google Scholar 

  37. Blaney, J.M. and Dixon, J.S., Perspect. Drug Discov. and Design, 1 (1993) 301.

    CAS  Google Scholar 

  38. Jones, G. and Willett, P., Curr. Opin. Biotech., 6 (1995) 652.

    PubMed  CAS  Google Scholar 

  39. Lengauer, T. and Rarey, M., Curr. Opin. Struct. Biol., 6 (1996) 402.

    Article  PubMed  CAS  Google Scholar 

  40. Sansom, C., Nat. Biotechnol, 16 (1998) 917.

    Article  PubMed  CAS  Google Scholar 

  41. Kirkpatrick, D.L., Watson, S. and Ulhaq, S., Comb. Chem. High-Through. Screen., 2 (1999) 211.

    CAS  Google Scholar 

  42. Knegtel, R.M.A. and Wagener, M., Proteins Struct. Funct. Genet., 37 (1999) 334.

    PubMed  CAS  Google Scholar 

  43. Johnson, M.A. and Maggiora, G.M. (Eds.), Concepts and Applications of Molecular Similarity, Wiley, New York, NY, 1990.

    Google Scholar 

  44. Dean, P.M. (Ed.), Molecular Similarity in Drug Design, Blackie Academic, London, 1995.

    Google Scholar 

  45. Karelson, M., Lobanov, V.S. and Katritzky, A.R., Chem. Rev., 96 (1996) 1027.

    Article  PubMed  CAS  Google Scholar 

  46. Hansch, C., Hoekman, D. and Gao, H., Chem. Rev., 96 (1996) 1045.

    Article  PubMed  CAS  Google Scholar 

  47. Cramer III, R.D., Patterson, D.E. and Bunce, J.D., J. Am. Chem. Soc., 110 (1988) 5959.

    Article  CAS  Google Scholar 

  48. Klebe, G., Perspect. Drug Discov. Design, 12/13/14 (1998) 87.

    CAS  Google Scholar 

  49. Kubinyi, H. (Ed.), 3D QSAR in Drug Design: Theory, Methods and Applications, ESCOM, Leiden, 1993.

    Google Scholar 

  50. Kubinyi, H., Folkers, G. and Martin, Y.C. (Eds.), 3D QSAR in Drug Design: Ligand-protein Interactions and Molecular Similarity, Perspect. Drug Discov. Design, 9/10/11 (1998).

    Google Scholar 

  51. Kubinyi, H., Folkers, G. and Martin, Y.C. (Eds.), 3D QSAR in Drug Design: Recent Advances, Perspect. Drug Discov. Design, 12/13/14 (1998).

    Google Scholar 

  52. Willett, P., Similarity and Clustering in Chemical Information Systems, Wiley, New York, NY, 1994.

    Google Scholar 

  53. Martin, E.J., Blaney, J.M., Siani, M.A., Spellmeyer, D.C., Wong, A.K. and Moos, W.K., J. Med. Chem., 38 (1995) 1431.

    PubMed  CAS  Google Scholar 

  54. Hassan, M., Bielawaski, J.P., Hempel, J.C. and Waldman, M., Mol. Div., 2 (1996) 64.

    CAS  Google Scholar 

  55. Bayada, D.M., Hamersma, H. and van Geerestein, V.J., J. Chem. Inf. Comput. Sci., 39 (1999) 1.

    Article  CAS  Google Scholar 

  56. Martin, E.J. and Critchlow, R.E., J. Comb. Chem., 1 (1999) 32.

    Article  PubMed  CAS  Google Scholar 

  57. Agrafiotis, D.K., Myslik, J.C. and Salemme, F.R., Mol. Div., 4 (1999) 1.

    CAS  Google Scholar 

  58. Barnard, J.M. and Downs, G.M., J. Chem. Inf. Comput. Sci., 32 (1992) 644.

    Article  CAS  Google Scholar 

  59. Brown, R.D. and Martin, Y.C., J. Chem. Inf. Comput. Sci., 37 (1997) 1.

    Article  CAS  Google Scholar 

  60. Matter, H., J. Med. Chem., 40 (1997) 1219.

    Article  PubMed  CAS  Google Scholar 

  61. Flower, D.R., J. Chem. Inf. Comput. Sci., 38 (1998) 379.

    Article  CAS  Google Scholar 

  62. Xue, J., Godden, J.W. and Bajorath, J., J. Chem. Inf. Comput. Sci., 39 (1999) 881.

    PubMed  CAS  Google Scholar 

  63. Cramer, R.D., Redl, G. and Berkhoff, C.E., J. Med. Chem., 17 (1973) 533.

    Google Scholar 

  64. Hagadone, T.R., J. Chem. Inf. Comput. Sci., 32 (1992) 515.

    Article  CAS  Google Scholar 

  65. Van Drie, J.H., J. Comput.-Aided Mol. Design, 11 (1997) 39.

    Article  Google Scholar 

  66. Pickett, S.D., Luttmann, C., Guerin, V., Laoui, A. and James, E., J. Chem. Inf. Comput. Sci., 38 (1998) 144.

    Article  PubMed  CAS  Google Scholar 

  67. Chen, X., Rusinko III, A., Tropsha, A. and Young, S.S., J. Chem. Inf. Comput. Sci., 39 (1999) 887.

    Article  PubMed  CAS  Google Scholar 

  68. Kearsley, S.K. and Smith, G.M., Tetrahedron Comput. Methods, 3 (1990) 615.

    CAS  Google Scholar 

  69. Good, A.C., Hodgkin, E.E. and Richards, G.W., J. Chem. Inf. Comput. Sci., 32 (1992) 188.

    Article  CAS  Google Scholar 

  70. Jain, A.N., Dietterich, T.G., Lathrop, R.H., Chapman, D., Critchlow Jr., R.E., Bauer, B.E., Webster, T.S. and Lozano-Perez, T., J. Comput.-Aided Mol. Design, 8 (1994) 635.

    Article  CAS  Google Scholar 

  71. Klebe, G., Mietzner, T. and Weber, F, J. Comput.-Aided Mol. Design, 8 (1994) 751.

    CAS  Google Scholar 

  72. McMartin, C. and Bohacek, R.S., J. Comput.-Aided Mol. Design, 9 (1995) 237.

    Article  CAS  Google Scholar 

  73. Perkins, T.D.J., Mills, J.E.J. and Dean, P.M., J. Comput.-Aided Mol. Design, 9 (1995) 479.

    Article  CAS  Google Scholar 

  74. Jones, G., Willett, P. and Glen, R.C., J. Comput.-Aided Mol. Design, 9 (1995) 532.

    Article  CAS  Google Scholar 

  75. Lemmen, C., Hiller, C. and Lengauer, T., J. Comput.-Aided Mol. Design, 12 (1998) 491.

    Article  CAS  Google Scholar 

  76. Mestres, J., Rohrer, D.C. and Maggiora, G.M., J. Comput. Chem., 18 (1997) 934.

    Article  CAS  Google Scholar 

  77. Lemmen, C., Lengauer, T. and Klebe, G., J. Med. Chem., 41 (1998) 4502.

    Article  PubMed  CAS  Google Scholar 

  78. Miller, M.D., Sheridan, R.P. and Kearsley, S.K., J. Med. Chem., 42 (1999) 1505.

    Article  PubMed  CAS  Google Scholar 

  79. Klebe, G., In Kubinyi, H. (Ed.) 3D QSAR in Drug Design: Theory, Methods and Applications, ESCOM, Leiden, 1993, p. 173.

    Google Scholar 

  80. Mattos, C. and Ringe, D., In Kubinyi, H. (Ed.) 3D QSAR in Drug Design: Theory, Methods and Applications, ESCOM, Leiden, 1993, p. 226.

    Google Scholar 

  81. Bohm, H.-J. and Klebe, G., Angew. Chem. Int. Ed. Engl., 35 (1996) 2588.

    Google Scholar 

  82. Grootenhuis, P.D.J. and van Helden, S.P., In Wipff, G. (Ed.) Computational Approaches in Supramolecular Chemistry, Kluwer Academic, Dordrecht, 1994, p. 137.

    Google Scholar 

  83. Babine, R.E. and Bender, S.L., Chem. Rev., 97 (1997) 1359.

    Article  PubMed  CAS  Google Scholar 

  84. Tripos Inc., St. Louis, MO, U.S.A.

    Google Scholar 

  85. Meng, E.C., Shoichet, B.K. and Kuntz, I.D., J. Comput. Chem., 13 (1992) 505.

    Article  CAS  Google Scholar 

  86. Rohrer, D.C., In Carb6 R. (Ed.) Molecular Similarity and Reactivity: From Quantum Chemical to Phenomenological Approaches, Kluwer, Amsterdam, 1995, p. 141.

    Google Scholar 

  87. Mestres J., Rohrer, D.C. and Maggiora, G.M., J. Mol. Graph. Model, 15 (1997) 114.

    PubMed  CAS  Google Scholar 

  88. Mestres, J., Rohrer, D.C. and Maggiora, G.M., J. Comput.-Aided Mol. Design, 13 (1999) 79.

    Article  CAS  Google Scholar 

  89. Mestres, J., Rohrer, D.C. and Maggiora, G.M., J. Comput.-Aided Mol. Design, 14 (2000) 39.

    Article  CAS  Google Scholar 

  90. Gasteiger, J. and Marsili, M., Tetrahedron 36 (1980) 3219.

    Article  CAS  Google Scholar 

  91. Sadowski, J., Gasteiger, J. and Klebe, G., Inf. Comput. Sci., 34 (1994) 1000.

    CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2000 Kluwer Academic Publishers

About this chapter

Cite this chapter

Mestres, J., Knegtel, R.M. (2000). Similarity versus docking in 3D virtual screening. In: Klebe, G. (eds) Virtual Screening: An Alternative or Complement to High Throughput Screening?., vol 20. Springer, Dordrecht. https://doi.org/10.1007/0-306-46883-2_11

Download citation

  • DOI: https://doi.org/10.1007/0-306-46883-2_11

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-0-7923-6633-1

  • Online ISBN: 978-0-306-46883-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics