Recep Adiyaman
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AI Molecular Dynamics De Novo Design

Bridging the Gap: AI, MD, and De Novo Design

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The Hybrid Approach

Combining the speed of AI with the physics of MD and the precision of local quality estimation.

Machine Learning

Initial structure generation

Molecular Dynamics

Conformational sampling

Quality Estimation

Adaptive restraints

SARS-CoV-2 Refinement

Figure: ReFOLD3 refining SARS-CoV-2 viral protein structures

Why Local Quality Matters

Protein motion isn't uniform. Stable cores need tight restraints. Flexible loops need freedom. Local quality scores let us distinguish between them, refining uncertain regions while preserving well-predicted ones.

De Novo Design

Model novel folds where evolutionary information is absent

Mutant Modelling

Capture subtle structural changes that determine stability

RA

Recep Adiyaman

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

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