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A Protocol for Computer-Based Protein Structure and Function Prediction
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Easy Not Easy: Comparative Modeling with High-Sequence Identity Templates.

Diego Javier Zea1, Elin Teppa2, Cristina Marino-Buslje3

  • 1Laboratory of Computational and Quantitative Biology, LCQB, UMR 7238 CNRS, IBPS, Sorbonne Université, Paris, France.

Methods in Molecular Biology (Clifton, N.J.)
|March 24, 2023
PubMed
Summary
This summary is machine-generated.

Homology modeling faces challenges with conformational diversity, where protein sequences can adopt varied structures. Understanding and incorporating this diversity is crucial for accurate protein structure prediction.

Keywords:
Comparative modelingConformational diversityConformational ensembleHomology modelingNative stateProtein dynamicsProtein structureStructural divergence

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Area of Science:

  • Structural biology
  • Computational biology
  • Protein modeling

Background:

  • Homology modeling is a primary method for protein structure prediction, relying on sequence identity.
  • It assumes conserved protein structures despite evolutionary sequence changes.
  • However, proteins exhibit conformational diversity, challenging this assumption.

Purpose of the Study:

  • To highlight the importance of conformational diversity in protein structure.
  • To address the limitations of comparative modeling when dealing with diverse protein structures.
  • To provide practical strategies for incorporating conformational diversity into template-based modeling.

Main Methods:

  • Review of experimental evidence on protein conformational diversity.
  • Analysis of limitations in current homology modeling paradigms.
  • Discussion of practical approaches for template-based modeling of conformationally diverse proteins.

Main Results:

  • Conformational diversity in proteins limits the reliability of standard homology modeling.
  • Proteins with high sequence identity can adopt significantly different 3D structures.
  • Complexity arising from conformational diversity is not always apparent at the sequence level.

Conclusions:

  • Conformational diversity is a critical factor that must be considered in protein modeling.
  • Standard homology modeling may fail for proteins with significant structural flexibility.
  • New methods are needed to effectively model proteins exhibiting high conformational diversity.