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乳酸脱氢酶的机制动力学描述用于阐明癌症诊断和抑制剂评估。

A mechanistic kinetic description of lactate dehydrogenase elucidating cancer diagnosis and inhibitor evaluation.

作者信息

Tang Peifeng, Xu Jianlin, Oliveira Christopher L, Li Zheng Jian, Liu Shijie

机构信息

a Department of Paper and Bioprocess Engineering , SUNY ESF , Syracuse , NY , USA.

b Biologics Process Development, Global Manufacturing and Supply , Bristol-Myers Squibb Company , Devens , MA , USA.

出版信息

J Enzyme Inhib Med Chem. 2017 Dec;32(1):564-571. doi: 10.1080/14756366.2016.1275606.

Abstract

As a key enzyme for glycolysis, lactate dehydrogenase (LDH) remains as a topic of great interest in cancer study. Though a number of kinetic models have been applied to describe the dynamic behavior of LDH, few can reflect its actual mechanism, making it difficult to explain the observed substrate and competitor inhibitions at wide concentration ranges. A novel mechanistic kinetic model is developed based on the enzymatic processes and the interactive properties of LDH. Better kinetic simulation as well as new enzyme interactivity information and kinetic properties extracted from published articles via the novel model was presented. Case studies were presented to a comprehensive understanding of the effect of temperature, substrate, and inhibitor on LDH kinetic activities for promising application in cancer diagnosis, inhibitor evaluation, and adequate drug dosage prediction.

摘要

作为糖酵解的关键酶,乳酸脱氢酶(LDH)仍是癌症研究中备受关注的话题。尽管已有多种动力学模型用于描述LDH的动态行为,但很少有模型能反映其实际机制,这使得在较宽浓度范围内难以解释观察到的底物和竞争性抑制现象。基于LDH的酶促过程和相互作用特性,开发了一种新的机理动力学模型。通过该新模型,实现了更好的动力学模拟,并从已发表的文章中提取了新的酶相互作用信息和动力学特性。通过案例研究,全面了解了温度、底物和抑制剂对LDH动力学活性的影响,有望应用于癌症诊断、抑制剂评估和合理药物剂量预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30d9/6010104/cb2a4731ffbd/IENZ_A_1275606_F0001_C.jpg

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