Adapting And Enhancing Hybrid Computational Methods For RNA Secondary Structure Prediction

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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Main Author: Al-Khatib, Ra’ed Mohammad Ali
Format: Thesis
Language:English
Published: 2011
Subjects:
QA75.5-76.95 Electronic computers
Computer science
Online Access:http://eprints.usm.my/43465/1/RA%E2%80%99ED%20MOHAMMAD%20ALI%20AL-KHATIB.pdf
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spelling my-usm-ep.434652019-04-12T05:26:26Z Adapting And Enhancing Hybrid Computational Methods For RNA Secondary Structure Prediction 2011-12 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 http://eprints.usm.my/43465/ http://eprints.usm.my/43465/1/RA%E2%80%99ED%20MOHAMMAD%20ALI%20AL-KHATIB.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Komputer
institution Universiti Sains Malaysia
collection USM Institutional Repository
language English
topic QA75.5-76.95 Electronic computers
Computer science
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
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.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Al-Khatib, Ra’ed Mohammad Ali
author_facet Al-Khatib, Ra’ed Mohammad Ali
author_sort Al-Khatib, Ra’ed Mohammad Ali
title 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_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_sort adapting and enhancing hybrid computational methods for rna secondary structure prediction
granting_institution Universiti Sains Malaysia
granting_department Pusat Pengajian Sains Komputer
publishDate 2011
url http://eprints.usm.my/43465/1/RA%E2%80%99ED%20MOHAMMAD%20ALI%20AL-KHATIB.pdf
_version_ 1747821220274896896

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