Enhancing Protein Fold Prediction Accuracy Using New Physicochemical-Based Features And Fusion Of Heterogeneous Classifiers
One of the most challenging research areas in the bioinformatics is to predict the tertiary structure of a protein from its amino sequence. Difficulties of this task, such lack of knowledge about the protein structural stability or how the amino acids interact with each other along the amino acid se...
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| Format: | Thesis |
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2010
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| Online Access: | http://shdl.mmu.edu.my/3461/ |
| _version_ | 1848790333824958464 |
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| author | Dehzangi, Abdollah |
| author_facet | Dehzangi, Abdollah |
| author_sort | Dehzangi, Abdollah |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | One of the most challenging research areas in the bioinformatics is to predict the tertiary structure of a protein from its amino sequence. Difficulties of this task, such lack of knowledge about the protein structural stability or how the amino acids interact with each other along the amino acid sequence of a protein have made this an open search issue for the bioinformatics and the molecular biology. |
| first_indexed | 2025-11-14T18:10:57Z |
| format | Thesis |
| id | mmu-3461 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:10:57Z |
| publishDate | 2010 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-34612012-03-30T07:01:28Z http://shdl.mmu.edu.my/3461/ Enhancing Protein Fold Prediction Accuracy Using New Physicochemical-Based Features And Fusion Of Heterogeneous Classifiers Dehzangi, Abdollah QH301 Biology One of the most challenging research areas in the bioinformatics is to predict the tertiary structure of a protein from its amino sequence. Difficulties of this task, such lack of knowledge about the protein structural stability or how the amino acids interact with each other along the amino acid sequence of a protein have made this an open search issue for the bioinformatics and the molecular biology. 2010-07 Thesis NonPeerReviewed Dehzangi, Abdollah (2010) Enhancing Protein Fold Prediction Accuracy Using New Physicochemical-Based Features And Fusion Of Heterogeneous Classifiers. Masters thesis, University of Multimedia. http://vlib.mmu.edu.my/diglib/login/dlusr/login.php |
| spellingShingle | QH301 Biology Dehzangi, Abdollah Enhancing Protein Fold Prediction Accuracy Using New Physicochemical-Based Features And Fusion Of Heterogeneous Classifiers |
| title | Enhancing Protein Fold Prediction Accuracy Using New Physicochemical-Based Features And Fusion Of Heterogeneous Classifiers |
| title_full | Enhancing Protein Fold Prediction Accuracy Using New Physicochemical-Based Features And Fusion Of Heterogeneous Classifiers |
| title_fullStr | Enhancing Protein Fold Prediction Accuracy Using New Physicochemical-Based Features And Fusion Of Heterogeneous Classifiers |
| title_full_unstemmed | Enhancing Protein Fold Prediction Accuracy Using New Physicochemical-Based Features And Fusion Of Heterogeneous Classifiers |
| title_short | Enhancing Protein Fold Prediction Accuracy Using New Physicochemical-Based Features And Fusion Of Heterogeneous Classifiers |
| title_sort | enhancing protein fold prediction accuracy using new physicochemical-based features and fusion of heterogeneous classifiers |
| topic | QH301 Biology |
| url | http://shdl.mmu.edu.my/3461/ http://shdl.mmu.edu.my/3461/ |