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Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures

NeurIPS 2022 · Image generation › Autoregressive and latent generation · approach: Diffusion for protein and antibody design · 119 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
DiffAb diffusion co-design vs RAbDCDR design · CDR-H3 co-designAAR: 22.14% -> 26.78%Helped
DiffAb vs RAbDCDR design · CDR-H2 co-designIMP: 53.50% -> 29.84%Hurt
DiffAb vs RAbDCDR design · CDR-H3 co-designIMP: 23.25% -> 23.63%No clear effect
DiffAb vs FixBBfix-backbone sequence design · CDR-H3AAR: 30.74% -> 59.48%Helped
partial diffusion optimization with t=4 instead of de novo (ablation)DiffAb · CDR-H3 optimizationSeqID to original: 26.78% -> 91.16%Helped
increase optimization steps t from 4 to 64 (ablation)DiffAb · CDR-H3 optimizationIMP: 23.29% -> 15.47%Hurt

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