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Updated: Jun 29, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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吸收分布代谢分泌和毒性属性预测利用预训练的自然语言处理模型及其在早期药物开发中的应用

Woojin Jung1, Sungwoo Goo2, Taewook Hwang2,3

  • 1College of Pharmacy, Chungnam National University, Daejeon 34134, Republic of Korea.

Pharmaceuticals (Basel, Switzerland)
|March 28, 2024
PubMed
概括

应用ChemBERTa,一种自然语言处理 (NLP) 模型,用于药物发现. 与其他架构相比,深度神经网络 (DNN) 模型在新数据上的预测性能优于其他架构,突出了NLP在药品中的潜力.

关键词:
接收人 接收人发现药物的发现.在片选中机器学习是机器学习.

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