Adapting And Enhancing Hybrid Computational Methods For RNA Secondary Structure Prediction
The secondary structure of RNA with pseudoknots is widely utilized for tracing the RNA tertiary structure, which is a key to understanding the functions of the RNAs and their useful roles in developing drugs for viral diseases. Experimental methods for determining RNA tertiary structure are time con...
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| Format: | Thesis |
| Language: | English |
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2011
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| Online Access: | http://eprints.usm.my/43465/1/RA%E2%80%99ED%20MOHAMMAD%20ALI%20AL-KHATIB.pdf |
| _version_ | 1825834798541701120 |
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| author | Al-Khatib, Ra’ed Mohammad Ali |
| author_facet | Al-Khatib, Ra’ed Mohammad Ali |
| author_sort | Al-Khatib, Ra’ed Mohammad Ali |
| collection | USM |
| description | The secondary structure of RNA with pseudoknots is widely utilized for tracing the RNA tertiary structure, which is a key to understanding the functions of the RNAs and their useful roles in developing drugs for viral diseases. Experimental methods for determining RNA tertiary structure are time consuming and tedious. Therefore, predictive computational approaches are required. Predicting the most accurate and energy-stable pseudoknot RNA secondary structure has been proven to be an NP-hard problem. This thesis presents a hybrid method to predict the RNA pseudoknot secondary structures by combining detection methods with dynamic programming algorithms. |
| first_indexed | 2024-03-06T15:28:06Z |
| format | Thesis |
| id | usm.eprints-43465 |
| institution | Universiti Sains Malaysia |
| language | English |
| last_indexed | 2024-03-06T15:28:06Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | usm.eprints-434652019-04-12T05:26:26Z http://eprints.usm.my/43465/ Adapting And Enhancing Hybrid Computational Methods For RNA Secondary Structure Prediction Al-Khatib, Ra’ed Mohammad Ali QA75.5-76.95 Electronic computers. Computer science The secondary structure of RNA with pseudoknots is widely utilized for tracing the RNA tertiary structure, which is a key to understanding the functions of the RNAs and their useful roles in developing drugs for viral diseases. Experimental methods for determining RNA tertiary structure are time consuming and tedious. Therefore, predictive computational approaches are required. Predicting the most accurate and energy-stable pseudoknot RNA secondary structure has been proven to be an NP-hard problem. This thesis presents a hybrid method to predict the RNA pseudoknot secondary structures by combining detection methods with dynamic programming algorithms. 2011-12 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/43465/1/RA%E2%80%99ED%20MOHAMMAD%20ALI%20AL-KHATIB.pdf Al-Khatib, Ra’ed Mohammad Ali (2011) Adapting And Enhancing Hybrid Computational Methods For RNA Secondary Structure Prediction. PhD thesis, Universiti Sains Malaysia. |
| spellingShingle | QA75.5-76.95 Electronic computers. Computer science Al-Khatib, Ra’ed Mohammad Ali Adapting And Enhancing Hybrid Computational Methods For RNA Secondary Structure Prediction |
| title | Adapting And Enhancing Hybrid Computational Methods For RNA
Secondary Structure Prediction |
| title_full | Adapting And Enhancing Hybrid Computational Methods For RNA
Secondary Structure Prediction |
| title_fullStr | Adapting And Enhancing Hybrid Computational Methods For RNA
Secondary Structure Prediction |
| title_full_unstemmed | Adapting And Enhancing Hybrid Computational Methods For RNA
Secondary Structure Prediction |
| title_short | Adapting And Enhancing Hybrid Computational Methods For RNA
Secondary Structure Prediction |
| title_sort | adapting and enhancing hybrid computational methods for rna secondary structure prediction |
| topic | QA75.5-76.95 Electronic computers. Computer science |
| url | http://eprints.usm.my/43465/1/RA%E2%80%99ED%20MOHAMMAD%20ALI%20AL-KHATIB.pdf |
| work_keys_str_mv | AT alkhatibraedmohammadali adaptingandenhancinghybridcomputationalmethodsforrnasecondarystructureprediction |