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KCD: A prediction web server of knowledge-based circular dichroism.

Damián Jacinto-Méndez1, Carmen Giovana Granados-Ramírez2, Mauricio D Carbajal-Tinoco1

  • 1Departamento de Física, Centro de Investigación y de Estudios Avanzados del IPN, Mexico City, Mexico.

Protein Science : a Publication of the Protein Society
|March 27, 2024
PubMed
Summary

We developed a knowledge-based CD (KCD) method to predict protein far-UV circular dichroism (CD) spectra using 3D structures. Our KCD method shows high accuracy, comparable to advanced AI approaches, aiding in assessing protein structural changes.

Keywords:
circular dichroismprotein structurespectral predictionweb server

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Area of Science:

  • Biophysics
  • Structural Biology
  • Computational Biology

Background:

  • Circular dichroism (CD) spectroscopy is crucial for analyzing protein secondary structures.
  • Predicting CD spectra from protein structures can validate structural models and assess conformational changes.
  • Existing prediction methods vary in accuracy and applicability.

Purpose of the Study:

  • To develop and present a novel web server for predicting far-UV CD spectra of proteins.
  • To validate the accuracy of the knowledge-based CD (KCD) method against experimental data and established models.
  • To provide a reliable tool for analyzing protein structure and conformational dynamics.

Main Methods:

  • Utilized classical optical activity theory and atomic complex polarizabilities derived from synchrotron radiation CD spectra.
  • Developed a knowledge-based CD (KCD) algorithm integrating protein 3D structures from the Protein Data Bank (PDB).
  • Compared KCD predictions with experimental spectra and results from PDBMD2CD, SESCA, and DichroCalc models.

Main Results:

  • The KCD method demonstrated good agreement with experimental CD spectra, including those with D-amino acids.
  • KCD achieved high prediction accuracy, with a mean normalized absolute deviation of 0.26 for 57 test proteins, outperforming other models.
  • The method's accuracy is competitive with recent artificial intelligence approaches for protein structure prediction.

Conclusions:

  • The KCD web server provides accurate predictions of protein far-UV CD spectra.
  • Reliable CD spectra predictions can aid in evaluating protein secondary structure changes and validating reconstructed protein models.
  • The KCD method is freely accessible, offering a valuable resource for structural biology research.