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Quantitatively Correlating interactions between three intrinsic kinetic processes to in vivo protein kinase occupancy
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  • Guopeng Wang,
  • Xiaoquan Jiang,
  • Muli Sen,
  • Wenning Yang,
  • Jingtong Liu,
  • Yunyun Ma,
  • Fulu Pan,
  • Haiyang Yang,
  • Hongjiao Chen,
  • Wei Liu,
  • Huating Huang,
  • Fuqin Zhu,
  • Xueyan Li,
  • Yang Liu,
  • Yanli Pan,
  • Zhongjian Wang
Guopeng Wang
Zhongcai Health (Beijing) Biological Technology Development Co., Ltd.
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Xiaoquan Jiang
Beijing University of Chinese Medicine
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Muli Sen
Beijing University of Chinese Medicine
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Wenning Yang
Beijing University of Chinese Medicine
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Jingtong Liu
Beijing University of Chinese Medicine
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Yunyun Ma
Zhongcai Health (Beijing) Biological Technology Development Co., Ltd.
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Fulu Pan
Beijing University of Chinese Medicine
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Haiyang Yang
Beijing University of Chinese Medicine
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Hongjiao Chen
Beijing University of Chinese Medicine
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Wei Liu
Beijing University of Chinese Medicine
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Huating Huang
Beijing University of Chinese Medicine
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Fuqin Zhu
Beijing University of Chinese Medicine
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Xueyan Li
Beijing University of Chinese Medicine
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Yang Liu
Beijing University of Chinese Medicine

Corresponding Author:[email protected]

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Yanli Pan
Institute of Information on Traditional Chinese Medicine China Academy of Chinese Medical Sciences
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Zhongjian Wang
Pharnexcloud Digital Technology Co., Ltd.
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Abstract

Background and Purpose: Excellent drug therapy is usually characterized by longer duration with sufficiently high occupancy on desired target. Except for classical pharmacokinetics (PK) contribution, binding kinetics (BK) and target kinetics (TK) are emerging as key role. This study aims to establish mathematical simulation model of kinase target engagement by integrating three intrinsic kinetic processes (i.e., PK, BK and kinase target kinetics, KTK) of interaction between kinase inhibitors (KIs) and kinase protein. Experimental Approach: Five half-life ratios, innovative pharmacokinetics-inhibition-kinase kinetics (PIKK) and diagnostic line plots (DLPs) were generated to assess which parameters were playing crucial role in the kinases target occupancy (KTO) decline. PK-BK-TKT model was first developed by a series of differential equations, and using this model simulated time courses of protein kinase occupancy. And the temporal kinase selectivity (TKS) method was firstly developed to judge inhibitor selectivity. Key Results: By three visualization approaches, key rate-limiting factors were first identified in kinase occupancy. We first simulated time course profiles of interaction between 55 approved inhibitors with 55 clinically validated protein kinases. Subsequently, the TKS between 30 inhibitors and 55 protein kinases were generated, and 6 inhibitors were identified as a highly selective chemical probe for their respective primary target. Conclusion and Implications: The mathematic model can describe the entire process of inhibitor-kinase interaction in-depth and shows extensive applications in many aspects.