Protein Secondary Structure Prediction Using Ensemble Neural Networks With Local And Long-range Amino-acid Features
Predicting protein structures from sequences is a challenging problem. Determining the secondary structures of the protein is an effective approach to infer the complete protein structure. The interactions of local and long-range amino-acid residues in proteins are key contributors in defining the p...
| 第一著者: | |
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| フォーマット: | 学位論文 |
| 言語: | 英語 |
| 出版事項: |
2021
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| 主題: | |
| オンライン･アクセス: | http://eprints.usm.my/52692/ |