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- W1465889246 abstract "A number of medically important antibiotics exert their influence by direct interaction with cellular DNA and subsequent inhibition of replication and transcription. A fundamental step in understanding the moelcular mechanism of antibiotic action in these cases is the characterization of their equilibrium binding to DNA. The neighbor exclusion models have been commonly used to interpret and analyze such antibiotic–DNA binding isotherms. These models evolved because of complicating features unique to ligand binding to the linear DNA lattice. This chapter discusses the practical numerical aspects of using neighbor exclusion models and nonlinear least squares fitting techniques to extract quantitative data from experimental binding isotherms. McGhee and von Hippel used a simple combinatorial approach to arrive at closed form equations that embodied the neighbor exclusion principle and which could be readily incorporated into nonlinear least squares fitting routines. These equations are widely used for data analysis. In addition to neighbor exclusion behavior, McGhee and von Hippel introduced an additional parameter to account for cooperative interactions between ligands on the DNA lattice." @default.
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- W1465889246 date "1994-01-01" @default.
- W1465889246 modified "2023-10-17" @default.
- W1465889246 title "[26] Analysis of drug-DNA binding isotherms: A Monte Carlo approach" @default.
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- W1465889246 doi "https://doi.org/10.1016/s0076-6879(94)40065-2" @default.
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