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Streamline Protein Binding: A Revolution in Experimental Methods
Current experimental techniques for protein binding are costly and yield low success rates due to the need for extensive iterative cycles of mutation and binding experiments. A novel computational approach can efficiently predict successful bindings, significantly reducing the need for expensive lab iterations. This advancement parallels the significance of Alpha Fold 2 in practical applications and promises to drive real medical innovations. The release of a white paper on high affinity protein binders further underlines the potential impact of this research.