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DTCBA-using-MSI

Brief Description This repository has been created to hold the source code for Drug-Target Continuous Binding Affinity Prediction using Multiple Sources of Information.

References:

  • Davis, M. I., Hunt, J. P., Herrgard, S., Ciceri, P., Wodicka, L. M., Pallares, G., Hocker, M., Treiber, D. K., & Zarrinkar, P. P. (2011). Comprehensive analysis of kinase inhibitor selectivity. Nature Biotechnology, 29(11), 1046-1051. https://doi.org/10.1038/nbt.1990
  • Kim, S., Chen, J., Cheng, T., Gindulyte, A., He, J., He, S., Li, Q., Shoemaker, B. A., Thiessen, P. A., Yu, B., Zaslavsky, L., Zhang, J., & Bolton, E. E. (2019). PubChem 2019 update: improved access to chemical data. Nucleic Acids Research, 47(D1), D1102-d1109. https://doi.org/10.1093/nar/gky1033
  • Metz, J. T., Johnson, E. F., Soni, N. B., Merta, P. J., Kifle, L., & Hajduk, P. J. (2011). Navigating the kinome. Nature Chemical Biology, 7(4), 200-202. https://doi.org/10.1038/nchembio.530
  • Tang, J., Szwajda, A., Shakyawar, S., Xu, T., Hintsanen, P., Wennerberg, K., & Aittokallio, T. (2014). Making sense of large-scale kinase inhibitor bioactivity data sets: a comparative and integrative analysis. Journal of Chemical Information and Modeling, 54(3), 735-743. https://doi.org/10.1021/ci400709d

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