赛奇:一个以分段为导向的探索框架,用于优化CDK7抑制剂作为有前途的癌症治疗方法

Zhaoqi Shi1,2, Xufan Gao1, Damiano Buratto1

  • 1Institute of Quantitative Biology, Zhejiang University, Hangzhou 310058, China.

概括

研究人员开发了针对林依赖激酶7 (CDK7) 的新型非共价抑制剂,用于癌症治疗. 这种计算方法提高了安全性和选择性,为现有的共价CDK7抑制剂提供了有前途的替代方案.

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