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制御された多剤学による抗腫瘍剤のデータ駆動構築

Chenxiao Da1, Dehui Zhang1, Michael Stashko1

  • 1Center for Integrative Chemical Biology and Drug Discovery, Division of Chemical Biology and Medicinal Chemistry, Eshelman School of Pharmacy , University of North Carolina at Chapel Hill , Chapel Hill , North Carolina 27599-7363 , United States.

Journal of the American Chemical Society
|September 10, 2019
PubMed
まとめ

この研究では,標的がん薬の設計のための計算方法が紹介されています. このアプローチは選択的にTYRO3,AXL,MERTK (TAM) タイロシンキナーゼを阻害し,がん細胞の成長を阻害する.

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