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PDBMD2CD: providing predicted protein circular dichroism spectra from multiple molecular dynamics-generated protein
Elliot D Drew1, Robert W Janes1
1School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London, E1 4NS, UK.
Nucleic Acids Research
|April 29, 2020
Summary
PDBMD2CD predicts circular dichroism (CD) spectra from molecular dynamics (MD) simulations faster and more accurately than previous methods. This tool aids in analyzing protein structures from simulations, offering insights into experimental conditions.
Area of Science:
- Structural biology
- Computational biophysics
Background:
- Molecular dynamics (MD) simulations offer insights into systems difficult to study experimentally.
- Validating MD-derived protein structures can be challenging using traditional methods like crystallography or NMR.
- Circular dichroism (CD) spectroscopy provides valuable structural information under various experimental conditions.
Purpose of the Study:
- To introduce PDBMD2CD, a novel web server for predicting CD spectra from multiple protein structures generated by MD simulations.
- To provide a faster and more accurate method for CD spectra calculation compared to existing tools.
- To offer new analysis tools for clustering predictions and comparing them with experimental CD spectra.
Main Methods:
- The PDBMD2CD server processes numerous protein atomic coordinate files from MD trajectories.
- It calculates CD spectra for each provided protein structure.
- The method is significantly faster (at least 1000x) and more accurate than its predecessor, PDB2CD.
Main Results:
- PDBMD2CD enables the prediction of CD spectra for thousands of protein structures from MD simulations.
- The server offers improved speed and accuracy in CD spectra calculations.
- New analytical tools allow for clustering of predicted spectra and comparison with experimental data.
Conclusions:
- PDBMD2CD facilitates the analysis of protein structures derived from MD simulations by predicting their CD spectra.
- By comparing predicted spectra to experimental data, researchers can identify structure clusters representative of experimental conditions.
- This provides analytical insights into MD simulation results and aids in understanding protein behavior.
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