Computational Methods for the Prediction of the Structure and Interactions of Coiled-Coil Peptides
The past several years have seen significant advances in the development of computational methods for the prediction of the structure and interactions of coiled-coil peptides. These methods are generally based on pairwise correlations of amino acids, helical propensity, thermal melts and the energet...
| Main Authors: | , |
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| Format: | Journal Article |
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Bentham Science Publishers Limited
2008
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| Online Access: | http://hdl.handle.net/20.500.11937/27216 |
| _version_ | 1848752201867984896 |
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| author | Gandhi, Neha Mancera, Ricardo |
| author_facet | Gandhi, Neha Mancera, Ricardo |
| author_sort | Gandhi, Neha |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The past several years have seen significant advances in the development of computational methods for the prediction of the structure and interactions of coiled-coil peptides. These methods are generally based on pairwise correlations of amino acids, helical propensity, thermal melts and the energetics of sidechain interactions, as well as statistical patterns based on Hidden Markov Model (HMM) and Support Vector Machine (SVM) techniques. These methods are complemented by a number of public databases that contain sequences, motifs, domains and other details of coiled-coil structures identified by various algorithms. Some of these computational methods have been developed to make predictions of coiled-coil structure on the basis of sequence information; however, structural predictions of the oligomerisation state of these peptides still remains largely an open question due to the dynamic behaviour of these molecules. This review focuses on existing in silico methods for the prediction of coiled-coil peptides of functional importance using sequenceand/or three-dimensional structural data. |
| first_indexed | 2025-11-14T08:04:52Z |
| format | Journal Article |
| id | curtin-20.500.11937-27216 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:04:52Z |
| publishDate | 2008 |
| publisher | Bentham Science Publishers Limited |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-272162017-01-30T12:57:41Z Computational Methods for the Prediction of the Structure and Interactions of Coiled-Coil Peptides Gandhi, Neha Mancera, Ricardo The past several years have seen significant advances in the development of computational methods for the prediction of the structure and interactions of coiled-coil peptides. These methods are generally based on pairwise correlations of amino acids, helical propensity, thermal melts and the energetics of sidechain interactions, as well as statistical patterns based on Hidden Markov Model (HMM) and Support Vector Machine (SVM) techniques. These methods are complemented by a number of public databases that contain sequences, motifs, domains and other details of coiled-coil structures identified by various algorithms. Some of these computational methods have been developed to make predictions of coiled-coil structure on the basis of sequence information; however, structural predictions of the oligomerisation state of these peptides still remains largely an open question due to the dynamic behaviour of these molecules. This review focuses on existing in silico methods for the prediction of coiled-coil peptides of functional importance using sequenceand/or three-dimensional structural data. 2008 Journal Article http://hdl.handle.net/20.500.11937/27216 Bentham Science Publishers Limited restricted |
| spellingShingle | Gandhi, Neha Mancera, Ricardo Computational Methods for the Prediction of the Structure and Interactions of Coiled-Coil Peptides |
| title | Computational Methods for the Prediction of the Structure and Interactions of Coiled-Coil Peptides |
| title_full | Computational Methods for the Prediction of the Structure and Interactions of Coiled-Coil Peptides |
| title_fullStr | Computational Methods for the Prediction of the Structure and Interactions of Coiled-Coil Peptides |
| title_full_unstemmed | Computational Methods for the Prediction of the Structure and Interactions of Coiled-Coil Peptides |
| title_short | Computational Methods for the Prediction of the Structure and Interactions of Coiled-Coil Peptides |
| title_sort | computational methods for the prediction of the structure and interactions of coiled-coil peptides |
| url | http://hdl.handle.net/20.500.11937/27216 |