Generalised topological features and machine learning in drug design

One of the key steps of drug design is the prediction of binding affinity between a protein and a ligand. This is a task achievable using methods in supervised learning, where a supervised learning algorithm can be trained on a dataset of protein-ligand pairs and their binding affinity. Previous wor...

وصف كامل

التفاصيل البيبلوغرافية
المؤلف الرئيسي: Ti, Tze Hong
مؤلفون آخرون: Xia Kelin
التنسيق: Final Year Project (FYP)
اللغة:English
منشور في: Nanyang Technological University 2020
الموضوعات:
الوصول للمادة أونلاين:https://hdl.handle.net/10356/139051