DrugBank
PulseAugur coverage of DrugBank — every cluster mentioning DrugBank across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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New framework DrugReason combines knowledge graphs and LLMs for drug repurposing
Researchers have developed DrugReason, a novel framework designed to enhance drug repurposing by integrating knowledge graph reasoning with large language model (LLM) insights. This approach addresses the limitations of…
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New AI Framework Enhances Drug-Target Interaction Prediction
Researchers have developed ProbeMatchDTI, a novel framework designed to enhance drug-target interaction (DTI) prediction in AI-driven drug discovery. This method addresses limitations in existing approaches that can ove…
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ProbeMatchDTI enhances AI drug discovery by capturing weak biochemical signals
Researchers have developed ProbeMatchDTI, a novel framework designed to improve drug-target interaction (DTI) prediction in AI-driven drug discovery. This method addresses limitations in existing approaches that tend to…
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New AI Framework Predicts Therapeutic Response Using Gene Expression Data
Researchers have developed PREDIKTOR, a novel multi-view framework designed to predict patient-specific therapeutic response using gene expression data. This framework aligns a personalized gene regulatory network with …
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New T2D-Bench framework evaluates LLM accuracy for Type 2 Diabetes
Researchers have developed T2D-Bench, a new evaluation framework designed to assess the accuracy and evidence-based reasoning of Large Language Models (LLMs) in the context of Type 2 Diabetes management. The framework u…
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New MARD model advances drug-drug interaction prediction
Researchers have developed MARD (Mirror-Augmented Reasoning Distillation), a novel system for predicting mechanism-level drug-drug interactions (DDIs). MARD utilizes a 7B parameter model and incorporates three key train…