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Updated: Jul 16, 2025

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
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Exploring kinase DFG loop conformational stability with AlphaFold2-RAVE.

Bodhi P Vani1, Akashnathan Aranganathan2, Pratyush Tiwary3

  • 1Institute for Physical Science and Technology, University of Maryland, College Park, Maryland 20742, USA.

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|September 21, 2023
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Summary

This study shows AlphaFold2-RAVE can predict how small sequence changes affect kinase protein stability. This aids in developing targeted cancer drugs by exploring protein conformations.

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Area of Science:

  • Biochemistry
  • Structural Biology
  • Computational Biology

Background:

  • Kinases are crucial human proteins, but their dysfunction drives diseases like cancer.
  • Designing drugs for kinases is challenging due to their conserved structures and conformational flexibility.
  • The DFG motif's conformational states are vital for ATP-competitive drug design.

Conclusions:

  • AlphaFold2-RAVE effectively models kinase conformational dynamics and stability.
  • This approach aids structure-based drug design by predicting effects of sequence variations.
  • The tool complements AlphaFold2 for exploring protein conformational landscapes.