title: The mathematics of random mutation and natural selection for multiple simultaneous selection pressures and the evolution of antimicrobial drug resistance.
abstract: 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 © 2016 John Wiley & Sons, Ltd.
authors: Coarsegold, CA, 93614, U.S.A.
authors: Alan
authors: A
authors: Kleinman
mesh_terms: D001419:Bacteria / Q000235:genetics; D004352:Drug Resistance, Microbial / Q000235:genetics*; D006801:Humans; D008962:Models, Theoretical; D009154:Mutation; D011336:Probability; D012641:Selection, Genetic
keywords: combination therapy; drug resistance; natural selection; probability theory; random mutation