Skip to main content
Log in

A fast and efficient method for 2D and 3D molecular shape description

  • Research Papers
  • Published:
Journal of Computer-Aided Molecular Design Aims and scope Submit manuscript

Summary

A new formalism for molecular shape description is described. The formalism, based on considering each molecule as a collection of its 3-atom submolecules, is applied to both the graph theory and geometrical coordinate representations of molecules. The timing results for shape description of several databases indicate that this new method is applicable to large databases. Furthermore, results from clustering a small database show good agreement with clustering results obtained by a distance-matching algorithm.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Dean, P.M., Molecular Foundations of Drug Receptor Interaction, Cambridge University Press, Cambridge, 1987.

    Google Scholar 

  2. DesJarlais, R.L., Sheridan, R.P., Dixon, J.S., Kuntz, I.D. and Venkataraghavan, R., J. Med. Chem., 29 (1986) 2149.

    Google Scholar 

  3. DesJarlais, R.L., Sheridan, R.P., Seibel, G.L., Dixon, J.S., Kuntz, I.D. and Venkataraghavan, R., J. Med. Chem., 31 (1988) 722.

    Google Scholar 

  4. Corey, E.J. and Wipke, W.T., Science, 166 (1969) 178.

    Google Scholar 

  5. Güner, O.F., Henry, D.R. and Pearlman, R.S., J. Chem. Inf. Comput. Sci., 32 (1992) 101.

    Google Scholar 

  6. Martin, Y.C., Bures, M.G. and Willett, P., In Lipkowitz, K.B. and Boyd, D.B. (Eds.), Reviews in Computational Chemistry, VCH Publishers Inc., New York, 1990, pp. 213–263.

    Google Scholar 

  7. Sheridan, R.P., Nilakantan, R., Rusinko III, A., Bauman, N., Haraki, K.S. and Venkataraghavan, R., J. Chem. Inf. Comput. Sci., 29 (1989) 255.

    Google Scholar 

  8. Martin, Y.C., Danaher, E.B., May, C.S. and Weininger, D., J. Comput.-Aided Mol. Design, 2 (1988) 15.

    Google Scholar 

  9. Van Drie, J.H., Weininger, D. and Martin, Y.C., J. Comput.-Aided Mol. Design, 3 (1989) 225.

    Google Scholar 

  10. Hodes, L., J. Chem. Inf. Comput. Sci., 29 (1989) 66.

    Google Scholar 

  11. Whaley, R. and Hodes, L., J. Chem. Inf. Comput. Sci., 31 (1991) 345.

    Google Scholar 

  12. Hodes, L. and Feldman, A., J. Chem. Inf. Comput. Sci., 31 (1991) 347.

    Google Scholar 

  13. Hansen, P.J. and Jurs, P.C., J. Chem. Ed., 65 (1988) 574.

    Google Scholar 

  14. Bawden, D., J. Chem. Inf. Comput. Sci., 23 (1983) 14.

    Google Scholar 

  15. Brugger, W.E., Stuper, A.J. and Jurs, P.C., J. Chem. Inf. Comput. Sci., 16 (1976) 105.

    Google Scholar 

  16. Wiener, H., J. Am. Chem. Soc., 69 (1947) 17.

    Google Scholar 

  17. Rücker, G. and Rücker, C., J. Chem. Inf. Comput. Sci., 31 (1991) 442 and references therein.

    Google Scholar 

  18. Lukovits, I., J. Chem. Inf. Comput. Sci., 31 (1991) 503.

    Google Scholar 

  19. Randić, M., J. Am. Chem. Soc., 97 (1975) 6609.

    Google Scholar 

  20. Randić, M., In Johnson, M.A. and Maggiora, G.M. (Eds.), Concepts and Applications of Molecular Similarity, Wiley, New York, 1990, pp. 77–145.

    Google Scholar 

  21. Tinker, J., J. Chem. Inf. Comput. Sci., 21 (1981) 3.

    Google Scholar 

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

    Google Scholar 

  23. Danziger, D.J. and Dean, P.M., J. Theor. Biol., 116 (1985) 215.

    Google Scholar 

  24. Barakat, M.T. and Dean, P.M., J. Comput.-Aided Mol. Design, 4 (1990) 295.

    Google Scholar 

  25. Barakat, M.T. and Dean, P.M., J. Comput.-Aided Mol. Design, 4 (1990) 317.

    Google Scholar 

  26. Barakat, M.T. and Dean, P.M., J. Comput.-Aided Mol. Design, 4 (1991) 107.

    Google Scholar 

  27. Papadopoulos, M.C. and Dean, P.M., J. Comput.-Aided Mol. Design, 5 (1991) 119.

    Google Scholar 

  28. Kirkpatrick, S., Gelatt Jr., C.D. and Vecchi, M.P., Science, 220 (1983) 671.

    Google Scholar 

  29. Pepperrell, C.A. and Willett, P., J. Comput.-Aided Mol. Design, 5 (1991) 455.

    Google Scholar 

  30. Pepperrell, C.A., Poirrette, A.R. and Willett, P., Pestic. Sci., 33 (1991) 97.

    Google Scholar 

  31. Varkony, T.H., Shiloach, Y. and Smith, D.H., J. Chem. Inf. Comput. Sci., 19 (1979) 104.

    Google Scholar 

  32. Crandell, C.W. and Smith, D.H., J. Chem. Inf. Comput. Sci., 23 (1983) 186.

    Google Scholar 

  33. This concept has been described, see: Mihalić, Z., Nikolić, S. and Trinajstić, N., J. Chem. Inf. Comput. Sci., 32 (1992) 28 and references therein.

    Google Scholar 

  34. Mihalić, Z. and Trinajstić, N., J. Mol. Struct. (Theochem.), 232 (1991) 65.

    Google Scholar 

  35. For a similar descriptor that uses all atom pair distances, see Carhart, R.E., Smith, D.H. and Venkataraghavan, R., J. Chem. Inf. Comput. Sci., 25 (1985) 64.

    Google Scholar 

  36. Freeland, R.G., Funk, S.A., O'Korn, L.J. and Wilson, G.A., J. Chem. Inf. Comput. Sci., 19 (1979) 94.

    Google Scholar 

  37. Bawden, D., Catlow, J.T., Devon, T.K., Dalton, J.M., Lynch, M.F. and Willett, P., J. Chem. Inf. Comput. Sci., 21 (1981) 83.

    Google Scholar 

  38. Dubois, J.-E., Carrier, G. and Panaye, A., J. Chem. Inf. Comput. Sci., 31 (1991) 574.

    Google Scholar 

  39. Willett, P., In Johnson, M.A. and Maggiora, G.M. (Eds.), Concepts and Applications of Molecular Similarity, Wiley, New York, 1990, pp. 43–63.

    Google Scholar 

  40. Hartigan, J.A., Clustering Algorithms, Wiley, New York, 1975.

    Google Scholar 

  41. Lorr, M., Cluster Analysis for Social Scientists, Jossey-Bass, San Francisco, CA, 1983.

    Google Scholar 

  42. Romesburg, H.C., Cluster Analysis for Researchers, Wadsworth, Belmont, CA, 1984.

    Google Scholar 

  43. Hansch, C., Sammes, P.G. and Taylor, J.B. (Eds.), Comprehensive Medicinal Chemistry, Pergamon, Oxford, 1990.

    Google Scholar 

  44. CMC-3D version 90.1. Available from Molecular Design Ltd., San Leandro, CA.

  45. MDDR-3D version 90.1. Available from Molecular Design Ltd., San Leandro, CA.

  46. FCD-3D version 89.2. Available from Molecular Design Ltd., San Leandro, CA.

  47. Silicon Graphics Computer Systems, Mountain View, CA.

  48. Personal communication, Chemical Abstracts Service, Columbus, OH, 1992.

  49. Sun Microsystems Inc., Mountain View, CA.

  50. Rusinko III, A., Sheridan, R.P., Nilakantan, R., Haraki, K.S., Bauman, N. and Venkataraghavan, R., J. Chem. Inf. Comput. Sci., 29 (1989) 251 and references therein.

    Google Scholar 

  51. CONCORD. Available from Tripos Associates Inc., St. Louis, MO, 63144.

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

    Google Scholar 

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

    Google Scholar 

  54. Ferro, D.R. and Hermans, J., Acta Crystallogr., A 33 (1977) 345.

    Google Scholar 

  55. Clustering programs MacDendro and GraphMu kindly provided by J. Thioulouse, Laboratoire de Biométrie, Génétique et Biologie des populations, U.R.A. CNRS 243-Université Lyon 1, 69622 Villeurbanne Cedex, France. See Thioulouse, J., Comput. Appl., Biosci., 5 (1989) 287.

  56. SYBYL, Molecular Modelling Software, Tripos Associates Inc., St. Louis, MO 63144, 1991.

  57. Willett, P., Similarity and Clustering in Chemical Information Systems, Research Studies Press, Letchworth, Herts., U.K., 1987.

    Google Scholar 

  58. Wipke, W.T., Krishnan, S. and Ouchi, G.I., J. Chem. Inf. Comput. Sci., 18 (1978) 32.

    Google Scholar 

  59. Jarvis, R.A. and Patrick, E.A., IEEE Trans. Comput., C 22 (1973) 1025.

    Google Scholar 

  60. Adamson, G.W. and Bawden, D., J. Chem. Inf. Comput. Sci., 21 (1981) 204.

    Google Scholar 

  61. Willett, P., J. Chem. Inf. Comput. Sci., 24 (1984) 29.

    Google Scholar 

  62. Willett, P., Winterman, V. and Bawden, D., J. Chem. Inf. Comput. Sci., 26 (1986) 109.

    Google Scholar 

  63. Nilakantan, R., Bauman, N. and Venkataraghavan, R., J. Chem. Inf. Comput. Sci., 31 (1991) 527.

    Google Scholar 

  64. Cormen, T.H., Leiserson, C.E. and Rivest, R.L., Introduction to Algorithms, The MIT Press, Cambridge, 1990, pp. 558–565.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bemis, G.W., Kuntz, I.D. A fast and efficient method for 2D and 3D molecular shape description. J Computer-Aided Mol Des 6, 607–628 (1992). https://doi.org/10.1007/BF00126218

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00126218

Key words

Navigation