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 |