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...
المؤلف الرئيسي: | |
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مؤلفون آخرون: | |
التنسيق: | Final Year Project (FYP) |
اللغة: | English |
منشور في: |
Nanyang Technological University
2020
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الموضوعات: | |
الوصول للمادة أونلاين: | https://hdl.handle.net/10356/139051 |