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...
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| Format: | Thèse |
| Langue: | anglais |
| Publié: |
2021
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| Accès en ligne: | http://eprints.usm.my/52692/ |