Ajita Paliwal, Smita Jain, Sachin Kumar, Pranay Wal, Madhusmruti Khandai, Prasanna Shama Khandige, Vandana Sadananda, Khalid Anwer, Monica Gulati, Tapan Behl, Shriyansh Srivastava
INTRODUCTION: Pharmacokinetic parameters assessment is a critical aspect of drug discovery and development, yet challenges persist due to limited training data. Despite advancements in machine learning and in-silico predictions, scarcity of data hampers accurate prediction of drug candidates' pharmacokinetic properties. AREAS COVERED: The study highlights current developments in human pharmacokinetic prediction, talks about attempts to apply synthetic approaches for molecular design, and searches several databases, including Scopus, PubMed, Web of Science, and Google Scholar...
March 13, 2024: Expert Opinion on Drug Metabolism & Toxicology