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

• Κύριοι συγγραφείς: Woojin Jung (Συγγραφέας), Sungwoo Goo (Συγγραφέας), Taewook Hwang (Συγγραφέας), Hyunjung Lee (Συγγραφέας), Young-Kuk Kim (Συγγραφέας), Jung-woo Chae (Συγγραφέας), Hwi-yeol Yun (Συγγραφέας), Sangkeun Jung (Συγγραφέας)
• Μορφή: Βιβλίο
• Έκδοση: MDPI AG, 2024-03-01T00:00:00Z.
• Θέματα: article
• Διαθέσιμο Online: 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...