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首页> 外文期刊>Journal of Theoretical Biology >A viral load-based cellular automata approach to modeling HIV dynamics and drug treatment.
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A viral load-based cellular automata approach to modeling HIV dynamics and drug treatment.

机译：基于病毒载量的细胞自动机方法可模拟HIV动态和药物治疗。

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摘要

We formulated a novel cellular automata (CA) model for HIV dynamics and drug treatment. The model is built upon realistic biological processes, including the virus replication cycle and mechanisms of drug therapy. Viral load, its effect on infection rate, and the role of latently infected cells in sustaining HIV infection are among the aspects that are explored and incorporated in the model. We assume that the calculation of the number of cells in the neighborhood which influences the center cell's state is based on the viral load. This variable-cell neighborhood enables the simulation of an infection rate that is correlated to the viral load. This approach leads to a new and flexible way of modeling HIV dynamics and allows for the simulation of different antiretroviral drug treatments based on their individual and combined effects. The results of the simulation show the three phases of HIV dynamics (acute, chronic, and AIDS) and the additional drug response phase when drug treatment is added. The dynamics from the model qualitatively match clinical data. Drug treatment combinations with reverse transcriptase inhibitors and protease inhibitors are simulated using various drug efficacies. The results indicate that the model can be very useful in evaluating different drug therapy regimens.
机译：我们为HIV动态和药物治疗制定了一种新型的细胞自动机（CA）模型。该模型基于现实的生物学过程，包括病毒复制周期和药物治疗机制。病毒载量，其对感染率的影响以及潜在感染的细胞在维持HIV感染中的作用均在模型中进行了探索和纳入。我们假定影响中心细胞状态的邻域细胞数量的计算是基于病毒载量的。该可变细胞邻域能够模拟与病毒载量相关的感染率。这种方法导致了一种新的灵活的HIV动态模型建模方法，并允许根据其各自的和综合的效果模拟不同的抗逆转录病毒药物治疗。模拟结果显示了艾滋病毒动力学的三个阶段（急性，慢性和艾滋病）以及添加药物治疗后的其他药物反应阶段。该模型的动力学定性地匹配临床数据。使用各种药物功效模拟了具有逆转录酶抑制剂和蛋白酶抑制剂的药物治疗组合。结果表明该模型在评估不同的药物治疗方案中可能非常有用。

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