mlsanityData to 7 Oct 2026

DrugCLIP: Contrastive Drug-Disease Interaction For Drug Repurposing

arXiv 2407.02265 ↗First posted 2 Jul 2024cs.LG q-bio.BMcited by 7

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Abstract (arXiv)

Bringing a novel drug from the original idea to market typically requires more than ten years and billions of dollars. To alleviate the heavy burden, a natural idea is to reuse the approved drug to treat new diseases. The process is also known as drug repurposing or drug repositioning. Machine learning methods exhibited huge potential in automating drug repurposing. However, it still encounter some challenges, such as lack of labels and multimodal feature representation. To address these issues, we design DrugCLIP, a cutting-edge contrastive learning method, to learn drug and disease's interaction without negative labels. Additionally, we have curated a drug repurposing dataset based on real-world clinical trial records. Thorough empirical studies are conducted to validate the effectiveness of the proposed DrugCLIP method.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 17 of its 47 references that are in the map. First posted on arXiv 2 Jul 2024.

Builds on

17 of 47 references.

References · 17

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5 more
  1. 2020COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matchingcited by 37
  2. 2019CORE: Automatic Molecule Optimization Using Copy & Refine Strategycited by 27
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 5; 2025: 1; 2026: 1.

7 papers.

  1. 2024DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learningcited by 1
  2. 2024Accelerated Markov Chain Monte Carlo Using Adaptive Weighting Schemecited by 0
  3. 2024How to Train Text Summarization Model with Weak Supervisionscited by 0
  4. 2024TrialSynth: Generation of Synthetic Sequential Clinical Trial Datacited by 0
  5. 20243D Interaction Geometric Pre-training for Molecular Relational Learningcited by 0
  6. 2025Bladder Cancer Diagnosis with Deep Learning: A Multi-Task Framework and Online Platformcited by 0
  7. 2026GPCR-Filter: a deep learning framework for efficient and precise GPCR modulator discoverycited by 0