DeepBindPoc : a deep learning method to rank ligand binding pockets using molecular vector representation
Accurate identification of ligand-binding pockets in a protein is important for structure-based drug design. In recent years, several deep learning models were developed to learn important physical-chemical and spatial information to predict ligand-binding pockets in a protein. However, ranking the...
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Main Authors: | , , , , , , |
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格式: | Article |
語言: | English |
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2020
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在線閱讀: | https://hdl.handle.net/10356/145360 |
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機構: | Nanyang Technological University |
語言: | English |