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The mathematics of random mutation and natural selection for multiple simultaneous selection pressures and the evolution of antimicrobial drug resistance

机译:多重同时选择压力下的随机变异和自然选择数学与抗菌素耐药性演变

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The random mutation and natural selection phenomenon act in a mathematically predictable behavior, which when understood leads to approaches to reduce and prevent the failure of the use of these selection pressures when treating infections and cancers. The underlying principle to impair the random mutation and natural selection phenomenon is to use combination therapy, which forces the population to evolve to multiple selection pressures simultaneously that invoke the multiplication rule of probabilities simultaneously as well. Recently, it has been seen that combination therapy for the treatment of malaria has failed to prevent the emergence of drug-resistant variants. Using this empirical example and the principles of probability theory, the derivation of the equations describing this treatment failure is carried out. These equations give guidance as to how to use combination therapy for the treatment of cancers and infectious diseases and prevent the emergence of drug resistance. Copyright (C) 2016 John Wiley & Sons, Ltd.
机译:随机突变和自然选择现象以数学上可预测的方式起作用,当理解时,这导致减少和防止在治疗感染和癌症时使用这些选择压力的方法。损害随机突变和自然选择现象的基本原理是使用组合疗法,该疗法迫使种群同时进化到多个选择压力,这些选择压力也同时调用概率的乘法规则。最近,已经发现用于治疗疟疾的联合疗法未能阻止耐药性变体的出现。使用该经验示例和概率论原理,对描述该处理失败的方程进行了推导。这些方程式为如何使用联合疗法治疗癌症和传染病以及预防耐药性的出现提供了指导。版权所有(C)2016 John Wiley&Sons,Ltd.

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