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BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations

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Navigating the Design Space of Equivariant Diffusion-Based Generative Models for De Novo 3D Molecule Generation

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Mining Patents with Large Language Models Demonstrates Congruence of Functional Labels and Chemical Structures

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Prediction of the effects of small molecules on the gut microbiome using machine learning method integrating with optimal molecular features

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Collaborative analysis for drug discovery by federated learning on non-IID data

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MOKPE: drug–target interaction prediction via manifold optimization based kernel preserving embedding

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