In Silico Predictions of Various ADME/Tox Parameters
The objective of this program is to apply a number of novel machine learning-based molecular modeling schemes, namely pharmacophore ensemble/support vector machine (PhE/SVM), hierarchical support vector regression (HSVR), and SVM-Pose/SVM-Score combinatorial ensemble docking, to predict various drug absorption, distribution, metabolism, excretion and toxicity (ADME/Tox) properties play a significant role in contributing the high attrition rate of drug candidates in the drug discovery and development process. The chemistry, life science, pharmacy, toxicology or computer science major undergraduate and/or graduate students from Malaysia, Singapore, Vietnam, India, Indonesia and Thailand are more than welcome to apply for this program to learn the state-of-art technologies in the modern era of drug discovery and development within six months.
|Program:||「TEEP@AsiaPlus」NDHU: Bioinformatics, Pharmacoinformatics, Toxicoinformatics|
|School:||National Dong Hwa University|
|Organizer:||Department of Chemistry|
|Period of Apply:||
|Tuition Fee:||Please contact us!|