AIBullisharXiv – CS AI · 9h ago6/10
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Conditional generation of antibody sequences with classifier-guided germline-absorbing discrete diffusion
Researchers have developed a novel discrete diffusion model that improves computational antibody design by using germline sequences as an anchor point rather than masked tokens, reducing memorization of genetic patterns and enabling better conditional generation of antibodies with specific therapeutic properties like improved binding affinity.