sHaRPer: algorithm that acquires kinetic information from slow transitions in smFRET measurements
2017 KPS Spring Meeting
Single-molecule FRET is one of the most powerful and widely used biophysical techniques in biological sciences. It, however, has certain limitations such as weak signal and limited measurement time intrinsic to single-molecule fluorescence measurements. Despite several ameliorative measures taken to increase measurement time, it is nearly impossible to acquire meaningful kinetic information for systems whose characteristic transition times are comparable to or longer than measurement times limited by the finite lifetime of fluorescent dye. We report a scheme called sHaRPer (serialized Handshaking Repeated Permutation with end removal) to alleviate the aforementioned kinetic issues of single-molecule analysis and address the accuracy and reliability of average kinetic information acquired with sHaRPer by systemically varying (simulated) experimental parameters. Application of the sHaRPer method to single-molecule data, however, has a potential risk of distorting the time constants of individual kinetic phases if the data are described with kinetic partitioning. To this end, we provide a criterion to decide in what condition such distortion is expected. Our sHaRPer method is a useful way to handle single-molecule data with slow transition dynamics. This study provides a practical guide to use sHaRPer.