Optimal statistical methods for analysis of single-molecule data

摘要: Time-resolved single molecule fluorescence measurements are important probes for the conformational dynamics of biological macromolecules. The best time resolution in such techniques will only be achieved by measuring arrival times individual photons at detector and making a detailed statistical analysis photon data. This work presents several general approaches to estimation molecular parameters based on times. In first, amount information present data set involving continuous intramolecular motion is quantified Fisher information, allowing an algorithm constructed which achieves theoretical limits distance resolution. second approach tailored discrete intensity jumps optical molecules or particles. It uses recursive generalized likelihood ratio test determine location change points directly from Third, maximum entropy taken probability density function estimation. takes advantage previously derived, avoids over-fitting produced straightforward deconvolution methods. All these methods applied measure persistence length series polyproline oligopeptides.