Recep Adiyaman
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Protein Dynamics AlphaFold Modelling

From Static to Dynamic: The Future of Protein Modelling

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The Static Problem

AlphaFold2 revolutionized structural biology—but it shows us only one frozen moment. Proteins are dynamic machines, constantly breathing and moving.

What Static Models Miss

  • Conformational diversity across states
  • Allosteric communication pathways
  • Mutation-induced flexibility changes

Dynamic Modelling Captures

  • Ensemble of biologically relevant states
  • Cryptic binding pockets
  • Functional motion mechanisms
ReFOLD4 Refinement

Figure: ReFOLD4 protocol refining static predictions into dynamic ensembles

The Vision

Transform protein structure prediction from static snapshots to dynamic movies. By integrating AI with Molecular Dynamics, we capture the breathing motions essential for understanding mutations, de novo designs, and drug resistance.

Dynamic Modelling Pipeline

Figure: End-to-end pipeline for dynamic protein modelling

Impact

10x

Better mutation modeling

100+

Conformational states captured

Possibilities for drug discovery

RA

Recep Adiyaman

Bioinformatician specializing in protein structure prediction, MD refinement, and ligand prediction.

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