激酶
动力学
化学
体内
计算生物学
占用率
生物物理学
药代动力学
生物化学
药理学
生物
物理
遗传学
量子力学
生态学
作者
Guopeng Wang,Xiaoquan Jiang,Muli Sen,Wenning Yang,Jingtong Liu,Yunyun Ma,Fulu Pan,Haiyang Yang,Hong-Jiao Chen,Wei Liu,Huating Huang,Fuqin Zhu,Xueyan Li,Yang Liu,Yanli Pan,Zhongjian Wang
标识
DOI:10.22541/au.170668228.81827497/v1
摘要
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.
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