Papers by Zhaohan Meng

1 papers
FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for Drug-Target Interaction (2025.findings-emnlp)

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Challenge: despite advances in DTI models, models often struggle to capture fine-grained interactions between drugs and proteins.
Approach: They propose a novel drug-target interaction model that uses a token-level module to learn fine-grained information for drug-target interactions.
Outcome: The proposed model learns fine-grained information for drug-target interaction . it mitigates sequence fragment invalidation and incorporates the structure-aware vocabulary of target proteins .

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