AlloGen: Conformation-Selective Binder Generation with Differential State Scoring
Researchers have developed AlloGen, a novel framework for designing protein binders that are selective for specific conformational states. This approach decouples backbone generation from a learned state-selectivity scorer, allowing it to integrate with existing generators. AlloGen has demonstrated success across various protein families, identifying binders that preferentially recognize desired structural states and reject others. Experimental validation on calmodulin confirmed that these computational designs translate into physical molecules with state-selective binding properties. AI
IMPACT Enables more precise therapeutic design by creating molecules that target specific protein conformations, potentially reducing off-target effects.