1. Data-Driven Construction of Antitumor Agents with Controlled Polypharmacology
- Author
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Justus M. Huelse, Dehui Zhang, Michael J. Miley, Rebecca E. Parker, Chenxiao Da, Lee M. Graves, H. Shelton Earp, Stephen V. Frye, Madeline G. Huey, Laura E. Herring, Dmitri Kireev, Xiaodong Wang, Michael A. Stashko, Douglas K. Graham, Jacqueline Norris-Drouin, Thomas S. K. Gilbert, Katherine A. Minson, Deborah DeRyckere, Debra Hunter, and Eleana Vasileiadi
- Subjects
Protein family ,Cell Survival ,Antineoplastic Agents ,010402 general chemistry ,01 natural sciences ,Biochemistry ,Article ,Catalysis ,Mice ,Colloid and Surface Chemistry ,Cell Line, Tumor ,Animals ,Humans ,Amino Acid Sequence ,Regulation of gene expression ,Molecular Structure ,Chemistry ,Receptor Protein-Tyrosine Kinases ,Myeloid leukemia ,Neoplasms, Experimental ,General Chemistry ,MERTK ,Phenotype ,0104 chemical sciences ,Gene Expression Regulation, Neoplastic ,Cell culture ,Cancer research ,Tyrosine kinase ,TYRO3 - Abstract
Controlling which particular members of a large protein family are targeted by a drug is key to achieving a desired therapeutic response. In this study, we report a rational data-driven strategy for achieving restricted polypharmacology in the design of anti-tumor agents selectively targeting the TYRO3, AXL and MERTK (TAM) family tyrosine kinases. Our computational approach, based on the concept of FRAgments in Structural Environments (FRASE), distills relevant chemical information from structural and chemogenomic databases to assemble a three-dimensional inhibitor structure directly in the protein pocket. Target engagement by the inhibitors designed led to disruption of oncogenic phenotypes as demonstrated in enzymatic assays and in a panel of cancer cell lines, including acute lymphoblastic and myeloid leukemia (ALL/AML) and non-small cell lung cancer (NSCLC). Structural rationale underlying the approach was corroborated by x-ray crystallography. The lead compound demonstrated potent target inhibition in a pharmacodynamic study in leukemic mice.
- Published
- 2019
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