An Automated Global Method for Extraction of Distance Distributions from Electron Spin Resonance Pulsed Dipolar Signals
Abstract
Electron spin resonance (ESR) pulsed dipolar spectroscopy (PDS) is used effectively in measuring nano-meter range distances for protein structure prediction. The current global approach in extracting the distance distribution from time domain PDS signal has multiple limitations. We present a parameter free global method, which is more efficacious and less sensitive to signal noise compared to the current method.
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