Protein structure prediction in the 3D HP model
Proteins are initially linear chains of amino acids that fold, under the influence of several chemical and physical factors, into their 3-dimensional structures. Due to the importance of this problem and since laboratory techniques are not always feasible, computational methods for characterizing pr...
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2009
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| Online Access: | http://hdl.handle.net/10725/5538 http://dx.doi.org/10.1109/AICCSA.2009.5069408 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://ieeexplore.ieee.org/document/5069408/ |
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| _version_ | 1864513477326929920 |
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| author | Abu-Khzam, Faisal |
| author2 | Mansour, Nashat Kanj, Fatima Khachfe, Hassan |
| author2_role | author author author |
| author_facet | Abu-Khzam, Faisal Mansour, Nashat Kanj, Fatima Khachfe, Hassan |
| author_role | author |
| dc.creator.none.fl_str_mv | Abu-Khzam, Faisal Mansour, Nashat Kanj, Fatima Khachfe, Hassan |
| dc.date.none.fl_str_mv | 2009 2017-04-11T11:59:36Z 2017-04-11T11:59:36Z 2017-10-12 |
| dc.identifier.none.fl_str_mv | 9781424438068 http://hdl.handle.net/10725/5538 http://dx.doi.org/10.1109/AICCSA.2009.5069408 Kanj, F., Mansour, N., Khachfe, H., & Abu-Khzam, F. (2009, May). Protein structure prediction in the 3D HP model. In Computer Systems and Applications, 2009. AICCSA 2009. IEEE/ACS International Conference on (pp. 732-736). IEEE. http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://ieeexplore.ieee.org/document/5069408/ |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | IEEE |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.title.none.fl_str_mv | Protein structure prediction in the 3D HP model |
| dc.type.none.fl_str_mv | Conference Paper / Proceeding info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/conferenceObject |
| description | Proteins are initially linear chains of amino acids that fold, under the influence of several chemical and physical factors, into their 3-dimensional structures. Due to the importance of this problem and since laboratory techniques are not always feasible, computational methods for characterizing protein structures have been proposed. In this paper, we present a Particle Swarm Optimization (PSO) based algorithm for predicting protein structures in the 3D HP model. Starting from a small set of potential solutions, our algorithm efficiently explores the search space of candidate solutions and returns 3D protein structures with minimal energy. To test our algorithm, we use two sets of benchmark sequences of different lengths. It is found that the results of the PSO algorithm are better than those of previous algorithms |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | LAURepo_a44e09659a5baa971faa9f060d6bfec3 |
| identifier_str_mv | 9781424438068 Kanj, F., Mansour, N., Khachfe, H., & Abu-Khzam, F. (2009, May). Protein structure prediction in the 3D HP model. In Computer Systems and Applications, 2009. AICCSA 2009. IEEE/ACS International Conference on (pp. 732-736). IEEE. |
| language_invalid_str_mv | en |
| network_acronym_str | LAURepo |
| network_name_str | Lebanese American University repository |
| oai_identifier_str | oai:laur.lau.edu.lb:10725/5538 |
| publishDate | 2009 |
| publisher.none.fl_str_mv | IEEE |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Protein structure prediction in the 3D HP modelAbu-Khzam, FaisalMansour, NashatKanj, FatimaKhachfe, HassanProteins are initially linear chains of amino acids that fold, under the influence of several chemical and physical factors, into their 3-dimensional structures. Due to the importance of this problem and since laboratory techniques are not always feasible, computational methods for characterizing protein structures have been proposed. In this paper, we present a Particle Swarm Optimization (PSO) based algorithm for predicting protein structures in the 3D HP model. Starting from a small set of potential solutions, our algorithm efficiently explores the search space of candidate solutions and returns 3D protein structures with minimal energy. To test our algorithm, we use two sets of benchmark sequences of different lengths. It is found that the results of the PSO algorithm are better than those of previous algorithmsN/AIEEE2017-04-11T11:59:36Z2017-04-11T11:59:36Z20092017-10-12Conference Paper / Proceedinginfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject9781424438068http://hdl.handle.net/10725/5538http://dx.doi.org/10.1109/AICCSA.2009.5069408Kanj, F., Mansour, N., Khachfe, H., & Abu-Khzam, F. (2009, May). Protein structure prediction in the 3D HP model. In Computer Systems and Applications, 2009. AICCSA 2009. IEEE/ACS International Conference on (pp. 732-736). IEEE.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttp://ieeexplore.ieee.org/document/5069408/eninfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/55382021-03-19T10:03:19Z |
| spellingShingle | Protein structure prediction in the 3D HP model Abu-Khzam, Faisal |
| status_str | publishedVersion |
| title | Protein structure prediction in the 3D HP model |
| title_full | Protein structure prediction in the 3D HP model |
| title_fullStr | Protein structure prediction in the 3D HP model |
| title_full_unstemmed | Protein structure prediction in the 3D HP model |
| title_short | Protein structure prediction in the 3D HP model |
| title_sort | Protein structure prediction in the 3D HP model |
| url | http://hdl.handle.net/10725/5538 http://dx.doi.org/10.1109/AICCSA.2009.5069408 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://ieeexplore.ieee.org/document/5069408/ |