AIDR | Drug Repurposing调研

关于药物重利用方向的调查与科研,希望能理清这一个方向的图景。

综述

打算先看一下有哪些综述,先了解一下整个工作的图景。

会议

会议有三个人讲自己的调研。我理清一下每个人的要讲的部分。

Part 1

我介绍了自己调研的论文和阅读的文献。详情看我的2025-05-19的组会的PPT。

我大概介绍了一下我阅读的 Repurposed Drugs - Current State and Future Perspectives | IntechOpen,这是一本书,其中的第三章感觉非常有借鉴意义。

AIDD的主要数据库

AIDD的主要方法
在组学、图挖掘算法和大模型部分分别介绍了看到的三篇论文:

  • AI-powered omics-based drug pair discovery for pyroptosis therapy targeting triple-negative breast cancer | Nature Communications
  • Biomedical knowledge graph learning for drug repurposing by extending guilt-by-association to multiple layers | Nature Communications
  • DrugReAlign: a multisource prompt framework for drug repurposing based on large language models | BMC Biology

Part 2

阅读的文献为:Applications of Artificial Intelligence in Drug Repurposing - Wan - 2025 - Advanced Science - Wiley Online Library

这是师妹做的思维导图:

思维导图

Part 3

师弟的PPT。

阅读的论文有:

  • Multimodal Molecular Pretraining via Modality Blending | ICLR 2024
  • Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge | SIGKDD 2024
  • Mol-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective | ICML 2024
  • Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation | NeurIPS 2023
  • Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D | ICLR 2023
  • ESM All-Atom: Multi-scale Protein Language Model for Unified Molecular Modeling | ICML 2024
  • On Pre-trained Language Models for Antibody | ICLR 2023
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