Boltz-2 Protein Binding Affinity Prediction

About Boltz-2

Boltz-2 is an advanced AI model developed for predicting protein–ligand binding affinity. This tool enables researchers to rapidly screen potential drug candidates by estimating how strongly they bind to a target protein.

Research Applications

• Predicting binding affinity scores for candidate molecules
• Identifying promising leads for acupuncture-relevant protein targets
• Accelerating early-stage drug discovery workflows
• Integrating AI predictions with clinical observations

Methodology

The prediction pipeline involves preparing molecular structures, running inference through the Boltz-2 model, and interpreting the resulting binding energy estimates. Results are cross-referenced with existing literature and clinical data from the Green Therapeutics practice.

Findings & Publications

Ongoing research. Results and findings will be published here as the project progresses. See the GitHub repository and the N2 ECG project for related open-source work.