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  3. Repetitive Proteins That Undergo Large Conformational Changes Evade Structural Prediction Algorithms.
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  3. Repetitive Proteins That Undergo Large Conformational Changes Evade Structural Prediction Algorithms.

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Repetitive proteins that undergo large conformational changes evade structural prediction algorithms.

Marina P Chang1, Tianyi Jin2,3, Alana P Gudinas4

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Summary
This summary is machine-generated.

Protein structure prediction tools like AlphaFold struggle with dynamic proteins. New RTX protein variants show diverse structures, highlighting the need for better predictive models validated by experiments.

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Area of Science:

  • Structural biology
  • Computational biology
  • Biochemistry

Background:

  • Protein structure prediction algorithms like AlphaFold have advanced protein design.
  • These tools face limitations with conformationally dynamic, intrinsically disordered, and stimuli-responsive proteins.

Purpose of the Study:

  • To evaluate sequence-to-structure predictions for challenging intrinsically disordered proteins.
  • To explore the structural behavior of repeats-in-toxin (RTX) protein variants.

Main Methods:

  • Designed RTX sequence variants with modified repeats.
  • Utilized AlphaFold2 and AlphaFold3 for initial structure prediction.
  • Employed molecular dynamics simulations, circular dichroism spectroscopy, small-angle X-ray scattering, and X-ray crystallography for experimental validation.

Main Results:

  • AlphaFold predicted β-roll structures for all RTX variants.
  • Experimental methods revealed diverse, sequence-dependent structures for RTX variants in different calcium conditions.
  • Predicted structures did not fully capture the experimental conformational dynamics.

Conclusions:

  • Current protein structure prediction tools need improvement for intrinsically disordered proteins.
  • Multi-modal, multi-scale experimental validation is crucial for accurate protein design.
  • Understanding sequence-structure relationships in dynamic proteins is key for biotechnology and sustainability.