Skip to main content
Log in

SPLICE: A program to assemble partial query solutions from three-dimensional database searches into novel ligands

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

Summary

SPLICE is a program that processes partial query solutions retrieved from 3D, structural databases to generate novel, aggregate ligands. It is designed to interface with the database searching program FOUNDATION, which retrieves fragments containing any combination of a user-specified minimum number of matching query elements. SPLICE eliminates aspects of structures that are physically incapable of binding within the active site. Then, a systematic rule-based procedure is performed upon the remaining fragments to ensure receptor complementarity. All modifications are automated and remain transparent to the user. Ligands are then assembled by linking components into composite structures through overlapping bonds. As a control experiment, FOUNDATION and SPLICE were used to reconstruct a know HIV-1 protease inhibitor after it had been fragmented, reoriented, and added to a sham database of fifty different small molecules. To illustrate the capabilities of this program, a 3D search query containing the pharmacophoric elements of an aspartic proteinase-inhibitor crystal complex was searched using FOUNDATION against a subset of the Cambridge Structural Database. One hundred thirty-one compounds were retrieved, each containing any combination of at least four query elements. Compounds were automatically screened and edited for receptor complementarity. Numerous combinations of fragments were discovered that could be linked to form novel structures, containing a greater number of pharmacophoric elements than any single retrieved fragment.

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. Martin, Y.C., J. Med. Chem., 35 (1992) 2145.

    Google Scholar 

  2. 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. 213–256.

    Google Scholar 

  3. Murrall, N.W. and Davies, E.K., J. Chem. Inf. Comput. Sci., 30 (1990) 312.

    Google Scholar 

  4. Fersht, A., Enzyme Structure and Mechanism, Freeman, New York, 1977.

    Google Scholar 

  5. Beddell, C.R., The Design of Drugs to Macromolecular Targets, Wiley, New York, 1992.

    Google Scholar 

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

    Google Scholar 

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

    Google Scholar 

  8. Böhm, H.-J., J. Comput.-Aided Mol. Design, 6 (1992) 61.

    Google Scholar 

  9. Böhm, H.-J., J. Comput.-Aided Mol. Design, 6 (1992) 593.

    Google Scholar 

  10. Chau, P.L. and Dean, P.M., J. Comput.-Aided Mol. Design, 6 (1992) 385.

    Google Scholar 

  11. Chau, P.L. and Dean, P.M., J. Comput.-Aided Mol. Design, 6 (1992) 397.

    Google Scholar 

  12. Chau, P.L. and Dean, P.M., J. Comput.-Aided Mol. Design, 6 (1992) 407.

    Google Scholar 

  13. Allen, F.H., Kennard, O. and Taylor, R., Acc. Chem. Res., 16 (1983) 146.

    Google Scholar 

  14. Miranker, A. and Karplus, M., Protein Struct. Funct. Genet., 11 (1991) 29.

    Google Scholar 

  15. Ho, C.M.W. and Marshall, G.R., J. Comput.-Aided Mol. Design, 7 (1993) 3.

    Google Scholar 

  16. Lewis, R.A. and Dean, P.M., Proc. Roy. Soc. London Ser. B., 236 (1989) 125.

    Google Scholar 

  17. Lewis, R.A. and Dean, P.M., Proc. Roy. Soc. London Ser. B., 236 (1989) 141.

    Google Scholar 

  18. Lewis, R.A., Roe, D.C., Huang, C., Ferrin, T.E., Langridge, R. and Kuntz, I.D., J. Mol. Graphics, 10 (1992) 66.

    Google Scholar 

  19. Lewis, R.A. and Kuntz, I.D., In Karalainen, E.J. (Ed.) Scientific Computering and Automation, Elsevier, Amsterdam, 1991, pp. 117–132.

    Google Scholar 

  20. Cormen, T.H., Leiserson, C.E. and Rivest, R.L., Introduction to Algorithms, McGraw-Hill Book Co., St. Louis, 1991.

    Google Scholar 

  21. Tripos Associates, Inc., St. Louis, MO, U.S.A.

  22. Rich, D.H., Green, J., Toth, M.V., Marshall, G.R. and Kent, S.B.H., J. Med. Chem., 33 (1990) 1285.

    Google Scholar 

  23. Suguna, K., Padlan, E.A., Smith, C.W., Carlson, W.D. and Davies, D.R., Proc. Natl. Acad. Sci. USA, 84 (1987) 7009.

    Google Scholar 

  24. Ho, C.M.W. and Marshall, G.R., J. Comput.-Aided Mol. Design, 4 (1990) 337.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Ho, C.M.W., Marshall, G.R. SPLICE: A program to assemble partial query solutions from three-dimensional database searches into novel ligands. J Computer-Aided Mol Des 7, 623–647 (1993). https://doi.org/10.1007/BF00125322

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00125322

Key words

Navigation