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...
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| 格式: | Final Year Project |
| 語言: | English |
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Nanyang Technological University
2020
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| 在線閱讀: | https://hdl.handle.net/10356/139051 |
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| 機構: | Nanyang Technological University |
| 語言: | English |