Optimal Background Correction in Double Quantum Coherence Electron Spin Resonance Spectroscopy for Accurate Data Analysis
Aritro Sinha Roy
TL;DR
This paper develops a new background correction method for double quantum coherence ESR spectroscopy, improving the accuracy of protein structure analysis by precisely modeling signal contributions.
Contribution
It introduces a mathematical framework for background correction in DQC ESR, specifically tailored for micro-molar protein samples, enhancing data analysis accuracy.
Findings
Derived functional forms for DQC ESR signals in frozen samples.
Quantified intramolecular and background contributions to the ESR signal.
Improved the reliability of protein structure determination using ESR.
Abstract
Electron spin resonance (ESR) pulsed dipolar spectroscopy (PDS) is used in protein 3D structure determination. However, the accuracy of the signal analysis depends heavily on the background correction process. In this work, we derive the functional forms of double quantum coherence (DQC) ESR signal in typical frozen samples of micro-molar concentration, quantifying both the intramolecular and the background contributions.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsElectron Spin Resonance Studies · Advanced NMR Techniques and Applications · Advanced MRI Techniques and Applications