Skip to main content
Log in

The measurement of molecular diversity: A three-dimensional approach

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

Summary

This paper describes a method for selecting a small, highly diverse subset from a large pool of molecules. The method has been employed in the design of combinatorial synthetic libraries for use in high-throughput screening for pharmaceutical lead generation. It computes diversity in terms of the main factors relevant to ligand-protein binding, namely the three-dimensional arrangement of steric bulk and of polar functionalities and molecular entropy. The method was used to select a set of 20 carboxylates suitable for use as side-chain precursors in a polyamine-based library. The method depends on estimates of various physical-chemical parameters involved in ligand-protein binding; experiments examined the sensitivity of the method to these parameters. This paper compares the diversity of randomly and rationally selected side-chain sets; the results suggest that careful design of synthetic combinatorial libraries may increase their effectiveness several-fold.

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.

Institutional subscriptions

Similar content being viewed by others

References

  1. Gallop, M.A., Barret, R.W., Dower, W.J., Fodor, S.P.A. and Gordon, E.M., J. Med. Chem., 37 (1994) 1233.

    Google Scholar 

  2. Gordon, E.M., Barret, R.W., Dower, W.J., Fodor, S.P.A. and Gallop, M.A., J. Med. Chem., 37 (1994) 1386.

    Google Scholar 

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

    Google Scholar 

  4. James, C.A. and Weininger, D., Daylight, 4.41 Theory Manual, Daylight Chemical Information Systems Inc., Irvine, CA, U.S.A., 1995.

    Google Scholar 

  5. Shemetulskis, N.E., Dubar, J.B., Dunbar, B.W., Moreland, D.W. and Humblet, C., J. Comput.-Aided Mol. Design, 9 (1995) 407.

    Google Scholar 

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

    Google Scholar 

  7. Boyd, S.M., Beverly, M., Norskov, L. and Hubbard, R.E., J. Comput.-Aided Mol. Design, 9 (1995) 417.

    Google Scholar 

  8. Chang, G., Guida, W.C. and Still, W.C., J. Am. Chem. Soc., 111 (1989) 4379.

    Google Scholar 

  9. Crippen, G.M. and Havel, T.F., J. Chem. Inf. Comput. Sci., 30 (1990) 222.

    Google Scholar 

  10. Press, W.H., Toukolsky, S.A., Vetterling, W.T. and Flannery, B.P., Numerical Recipes in C, 2nd ed., Cambridge University Press, Cambridge, U.K., 1992.

    Google Scholar 

  11. Johnson, M.A. and Maggiora, G.M., Concepts and Applications of Molecular Similarity, Wiley, New York, NY, U.S.A., 1990.

    Google Scholar 

  12. Good, A.C. and Richards, W.G., J. Chem. Inf. Comput. Sci., 33 (1993) 112.

    Google Scholar 

  13. Böhm, H.-J., J. Comput.-Aided Mol. Design, 8 (1994) 243.

    Google Scholar 

  14. Garey, M.R. and Johnson, D.S., Computers and Intractability, Freeman, New York, NY, U.S.A., 1979.

    Google Scholar 

  15. Burley, S.K. and Petsko, G.A., Adv. Protein Chem., 39 (1988) 125.

    Google Scholar 

  16. Sharp, K.A., Nicholls, A., Friedman, R. and Honig, B., Biochemistry, 30 (1991) 9686.

    Google Scholar 

  17. Shirley, B.A., Stanssens, P., Hahn, U. and Pace, C.N., Biochemistry, 31 (1992) 725.

    Google Scholar 

  18. Williams, D.H., Searle, M.S., Mackay, J.P., Gerhard, U. and Mapleston, R.A., Proc. Natl. Acad. Sci. USA, 90 (1993) 1172.

    Google Scholar 

  19. Jain, A.N., Harris, N.L. and Park, J.Y., J. Med. Chem., 38 (1995) 1295.

    Google Scholar 

  20. Snedecor, G.W. and Cochran, W.G., Statistical Methods, Iowa State University Press, Ames, IA, U.S.A., 1989.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chapman, D. The measurement of molecular diversity: A three-dimensional approach. J Computer-Aided Mol Des 10, 501–512 (1996). https://doi.org/10.1007/BF00134174

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00134174

Keywords

Navigation