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Genomics and Bioinformatics Group

Before 1999 Publication

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      Before 1999
      Selected
 

Publications before 1999

 

Selected Articles from the Genomics and Bioinformatics Group: Pre-1999 (followed by full bibliography)

  • Weinstein, J.N., Myers, T.G., O'Connor, P.M., Friend, S.H., Fornace, A.J., Kohn, K.W., Fojo, T., Bates, S.E., Rubinstein, L.V., Anderson, N.L., Buolamwini, J.K., van Osdol, W.W., Monks, A.P., Scudiero, D.A., Sausville, E.A., Zaharevitz, D.W., Bunow, B., Viswanadhan, V.N., Johnson, G.S., Wittes, R.E., and Paull, K.D. An information-intensive approach to the molecular pharmacology of cancer. Science 1997; 275:343-349. Abstract Full Text (PDF)

  • Weinstein, J.N., Fishing expeditions, Science 1998; 282: 627-628 ( in Genome issue). Abstract

  • Genomics and Bioinformatics Group Bibliography (1997 - 1998)

  1. Shi, L.M., Fan, Y., Myers, T.G., and Weinstein, J.N. Genetic function approximation in the molecular pharmacology of cancer. Symp. Intl Congress on Neural Networks, 1997; 1.

  2. Li, G., Waltham, M., Unsworth, E., Treston, A., Anderson, N.L., and Weinstein, J.N. Rapid protein identification from two-dimensional polyacrylamide gels by MALDI mass spectrometry. Electrophoresis 1997; 18:391-402..

  3. Myers, T.G., Waltham, M., Li, G., Buolamwini, J.K., Scudiero, D.A., Rubinstein, L.V., Paull, K.D., Sausville, E.A., and Anderson, N.L., and Weinstein, J.N. A protein expression database for the molecular pharmacology of cancer. Electrophoresis 1997; 18:647-653.

  4. O'Connor, P.M., Jackman, J., Bae, I., Myers, T.G., Fan, S., Scudiero, D.A., Monks, A., Sausville, E.A., Weinstein, J.N., Friend, S., Fornace, A.J., Jr., and Kohn, K.W. Characterization of the p53 tumor suppressor pathway in the NCI anticancer drug screen cell lines and relationships with chemosensitivity, Cancer Research, 1997; 57: 4285-4300.

  5. Burke, H.B., Goodman, P.H., Rosen, D.B., Weinstein, J.N., Hellier, J.H., Winchester, D.P., Harrell, F.E., Marks, J.R., Bostwick, D.G., Osteen, R.T., Zincke, H., and Henson, D.E. Improving cancer survival prediction accuracy. Cancer 1997; 79: 857-862.

  6. Wosikowski, K., Schuurhuis, D., Johnson, K., Paull, K.D., Myers, T.G., Weinstein, J., and Bates, S.E. Use of EGF receptor, c-erbB2 and TGFa gene expression profiles in the National Cancer Institute anticancer drug screen to identify EGF receptor and c-erbB2 pathway inhibitors. J. Natl. Cancer Inst., 1997; 89: 1505-1515.

  7. Weinstein, J.N., Myers, T.G., O'Connor, P.M., Friend, S.H., Fornace, A.J., Kohn, K.W., Fojo, T., Bates, S.E., Rubinstein, L.V., Anderson, N.L., Buolamwini, J.K., van Osdol, W.W., Monks, A.P., Scudiero, D.A., Sausville, E.A., Zaharevitz, D.W., Bunow, B., Viswanadhan, V.N., Johnson, G.S., Wittes, R.E., and Paull, K.D. An information-intensive approach to the molecular pharmacology of cancer. Science 1997; 275:343-349.

  8. Shi, L.M., Fan, Y., Myers, T.G., Waltham, M., Paull, K.D., and Weinstein, J.N. Mining the anticancer activity database generated by the U.S. National Cancer Institute's drug discovery program using statistical and artificial intelligence techniques, Mathematical Modeling and Scientific Computing 1998; 38:189-199.

  9. Shi, L.M., Myers, T.G., Fan, Y., O'Connor, P.M., Paull, K.D., Friend, S.H., and Weinstein, J.N. Mining the NCI  anticancer drug discovery database: Cluster analysis of ellipticine analogs with p53-inverse and central nervous system-selective patterns of activity. Molecular Pharmacology 1998; 53: 241-251.

  10. Shi, L.M., Fan, Y., Myers, T.G., Paull, K.D., and Weinstein, J.N. Mining the NCI anticancer drug discovery databases: Genetic function approximation for the quantitative structure-activity relationship study of anticancer ellipticine analogs. J. Chem. Inf. Comput. Sci. 1998; 38: 189-199.

  11. Fan, Y., Weinstein, J.N., Kohn, K.W., Shi, L.M., and Pommier, Y. Molecular modeling studies of the DNA - topoisomerase I ternary cleavable complex with camptothecin. J. Med. Chem. 1998; 41: 2216-2226.

  12. Weinstein, J.N., Fishing expeditions, Science 1998; 282: 627-628 (letter in Genome issue).

 

 

   

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