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LinkerMind: An Interpretable, Mechanism-Informed Deep Learning Framework for the De Novo Design of Antibody Drug Conjugate Linkers

2025-12-19

Abstract excerpt

<title>Abstract</title> Optimising linkers for Antibody-Drug Conjugates (ADCs) is difficult because a linker must stay stable in blood but still cleave efficiently inside target cells. Many computational studies also suffer from biased datasets, where models learn shortcuts such as molecular 1 2 3 4 size rather than true cleavable chemistry. Here, we present LinkerMind, a mechanism- 5 informed framework built...

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Literature Corpus work: cb8519aa-ccba-57e4-9cd7-5ca29cb7d486
DOI: 10.21203/rs.3.rs-8389242/v1

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