Absorption Distribution Metabolism Excretion and Toxicity Property Prediction Utilizing a Pre-Trained Natural Language Processing Model and Its Applications in Early-Stage Drug Development

• Main Authors: Woojin Jung (Author), Sungwoo Goo (Author), Taewook Hwang (Author), Hyunjung Lee (Author), Young-Kuk Kim (Author), Jung-woo Chae (Author), Hwi-yeol Yun (Author), Sangkeun Jung (Author)
• Format: Book
• Published: MDPI AG, 2024-03-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Machine learning techniques are extensively employed in drug discovery, with a significant focus on developing QSAR models that interpret the structural information of potential drugs. In this study, the pre-trained natural language processing (NLP) model, ChemBERTa, was utilized in the drug discove...