New paper: Large Language Models in Drug Discovery and Development: From Disease

[maykcaldas]

Paper: Large Language Models in Drug Discovery and Development: From Disease

Authors: Yizhen Zheng, Huan Yee Koh, Maddie Yang, Li Li, Lauren T. May,

Abstract: The integration of Large Language Models (LLMs) into the drug discovery anddevelopment field marks a significant paradigm shift, offering novelmethodologies for understanding disease mechanisms, facilitating drugdiscovery, and optimizing clinical trial processes. This review highlights theexpanding role of LLMs in revolutionizing various stages of the drugdevelopment pipeline. We investigate how these advanced computational modelscan uncover target-disease linkage, interpret complex biomedical data, enhancedrug molecule design, predict drug efficacy and safety profiles, and facilitateclinical trial processes. Our paper aims to provide a comprehensive overviewfor researchers and practitioners in computational biology, pharmacology, andAI4Science by offering insights into the potential transformative impact ofLLMs on drug discovery and development.

Link: https://arxiv.org/abs/2409.04481

Reasoning: produce the answer}. We start by examining the title, which mentions "Large Language Models in Drug Discovery and Development." This indicates that the paper involves the application of large language models (LLMs). Next, we look at the abstract, which discusses the integration of LLMs into various stages of the drug development pipeline, including understanding disease mechanisms, drug discovery, and clinical trials. The focus is clearly on the use of LLMs in these processes.