Synopsis of recent research by authors named "Chin-Yee Liew"
- Chin-Yee Liew's research primarily focuses on computational approaches to predict and model the toxicological and pharmacological properties of chemical compounds, employing techniques such as QSAR (Quantitative Structure-Activity Relationship) and ensemble learning methods.
- Significant findings include the development of predictive models for eye and skin effects, liver toxicity, and the identification of novel inhibitors for various biological targets like thioredoxin reductase and PI3K, which are crucial for anticancer drug discovery.
- Liew has also contributed to the creation of tools like PaDEL-DDPredictor for rapid prediction of pharmacokinetic and toxicity properties of drugs, highlighting the importance of in silico methods in enhancing drug development efficiency and reducing costs.
