Body: <p>I have to analyze circular dichroism data of proteins and nucleic acids for my PhD. Despite I have been able to find vast literature that helps to interpret a spectrum, most of the papers describe only the experiment as is, so telling what the methods to acquire a good set of spectra were, using JASCO technology or Synchrotron Radiation Circular Dichroism (SRCD), and the final interpretation of the plot.</p>
  <p>Basically, I come from biomedical signal analysis and processing. So I was thinking that extracting features from spectra could be kind of similar to extracting features from an ECG signal for example.</p>
  <p>Given that I don't precisely know what the experts do with cd spectra, If you have any advice could be of great value to me.</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2022-08-26T12:47:45.933Z
Comments.Text: I'm not exactly clear about the question or the project. Are ECG's electro-cardiograms? Interpreting ECG's you'd have thought would be applicable to spectral analysis (its obvious). However, I believe a cardiologist is better positioned to identify aberrations and ECG spectral analysis is certainly not mainstream if done at all (I think the latter is correct).
Comments.UserDisplayName: M__
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2023-01-18T18:50:51.323Z
Comments.Text: https://pubs.rsc.org/en/content/articlehtml/2021/cs/d0cs00558d --> Tools and methods for circular dichroism spectroscopy of proteins: a tutorial review
Comments.UserDisplayName: pippo1980
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2023-01-18T18:54:01.117Z
Comments.Text: take two different protein that fold in the most similar ways and get their structure then calculate both CD spetra ? calculate all the predicted CD spectra of all the alfa-fold predicted structure and figure out if you can given a CD spectra get the name of the protein ?? play with the data using AI to figure out pattern (i.e. percentage of alpha elical vs betha sheets and so on ...
Comments.UserDisplayName: pippo1980
Tags: <structural-biology>
Title: How to analyze Circular Dichroism data? Best practices, typical approaches and so on
ThreadText: # How to analyze Circular Dichroism data? Best practices, typical approaches and so on
  
  (Asked by: username_0 on 2022-08-26)
  
  I have to analyze circular dichroism data of proteins and nucleic acids for my PhD. Despite I have been able to find vast literature that helps to interpret a spectrum, most of the papers describe only the experiment as is, so telling what the methods to acquire a good set of spectra were, using JASCO technology or Synchrotron Radiation Circular Dichroism (SRCD), and the final interpretation of the plot.
  
  Basically, I come from biomedical signal analysis and processing. So I was thinking that extracting features from spectra could be kind of similar to extracting features from an ECG signal for example.
  
  Given that I don't precisely know what the experts do with cd spectra, If you have any advice could be of great value to me.
  
  **Tags:** structural-biology
  
  > **Comments:**
  > **username_1**: I'm not exactly clear about the question or the project. Are ECG's electro-cardiograms? Interpreting ECG's you'd have thought would be applicable to spectral analysis (its obvious). However, I believe a cardiologist is better positioned to identify aberrations and ECG spectral analysis is certainly not mainstream if done at all (I think the latter is correct).  
  > **username_2**: https://pubs.rsc.org/en/content/articlehtml/2021/cs/d0cs00558d --> Tools and methods for circular dichroism spectroscopy of proteins: a tutorial review  
  > **username_2**: take two different protein that fold in the most similar ways and get their structure then calculate both CD spetra ? calculate all the predicted CD spectra of all the alfa-fold predicted structure and figure out if you can given a CD spectra get the name of the protein ?? play with the data using AI to figure out pattern (i.e. percentage of alpha elical vs betha sheets and so on ...  
  
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