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DEERefiner-assisted structural refinement using pulsed dipolar spectroscopy: a study on multidrug transporter LmrP.
1Department of Chemistry, National Tsing Hua University, Hsinchu 300-044, Taiwan. ywchiang@mx.nthu.edu.tw.
Physical Chemistry Chemical Physics : PCCP
|September 1, 2023
Summary
This study introduces DEERefiner, a new tool for protein structure determination using double electron-electron resonance (DEER) data. DEERefiner precisely models protein conformations, revealing new insights into protein function.
Area of Science:
- Biophysics
- Structural Biology
- Computational Biology
Background:
- Pulsed dipolar spectroscopy, including double electron-electron resonance (DEER), offers valuable spatial information for protein structure determination but remains underutilized.
- Accurate protein structure modeling is crucial for understanding protein function and biological processes.
Purpose of the Study:
- To develop and validate DEERefiner, a user-friendly GUI program for protein structure modeling using DEER distance restraints.
- To demonstrate the application of DEERefiner in modeling ligand-dependent conformational changes of the proton-drug antiporter LmrP.
Main Methods:
- Development of DEERefiner, a MATLAB-based GUI integrating initial structures with DEER distance restraints.
- Application of DEERefiner to model the conformational states of the proton-drug antiporter LmrP.
Main Results:
- DEERefiner successfully modeled the ligand-dependent conformational changes of LmrP to an extracellular-open-like state with 0.76 Å precision.
- A previously hypothesized extracellular-closed/partially intracellular-open conformation of LmrP was resolved with 1.16 Å precision.
- The study highlights DEER spectroscopy's capability in precise protein structure modeling.
Conclusions:
- DEERefiner provides an accessible and effective tool for precise protein structure modeling using DEER data.
- The software advances the application of DEER spectroscopy in structural biology.
- Accurate modeling of LmrP conformations offers deeper insights into its function and mechanism.
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