Scatter search metaheuristic for homology based protein structure prediction. (c2015)

Determining a protein’s structure is a challenging goal in structural bioinformatics, offering important insight towards understanding the function of a protein. Homology modeling is an effective technique in protein structure prediction (PSP). However this technique suffers from poor initial target...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Stamboulian, Mouses Hrag (author)
التنسيق: masterThesis
منشور في: 2015
الموضوعات:
الوصول للمادة أونلاين:http://hdl.handle.net/10725/2215
https://doi.org/10.26756/th.2015.20
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author Stamboulian, Mouses Hrag
author_facet Stamboulian, Mouses Hrag
author_role author
dc.creator.none.fl_str_mv Stamboulian, Mouses Hrag
dc.date.none.fl_str_mv 2015-09-30T08:50:01Z
2015-09-30T08:50:01Z
2015
2015-09-30
2015-05-21
dc.identifier.none.fl_str_mv http://hdl.handle.net/10725/2215
https://doi.org/10.26756/th.2015.20
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv Lebanese American University
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Proteins -- Structure -- Mathematical models
Sequence alignment (Bioinformatics)
Scattering (Mathematics)
Lebanese American University -- Dissertations
Dissertations, Academic
dc.title.none.fl_str_mv Scatter search metaheuristic for homology based protein structure prediction. (c2015)
dc.type.none.fl_str_mv Thesis
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/masterThesis
description Determining a protein’s structure is a challenging goal in structural bioinformatics, offering important insight towards understanding the function of a protein. Homology modeling is an effective technique in protein structure prediction (PSP). However this technique suffers from poor initial target-template alignments, especially when the sequence identity between the two falls below 25%. To improve homology based PSP, we propose a scatter search (SS) metaheuristic algorithm. Our algorithm optimizes the initial poor alignments, generated by a dynamic programming method. SS is an evolutionary approach that is based on a population of candidate solutions. These candidates undergo evolutionary operations that combine search intensification and diversification over a number of iterations. The metaheuristic is guided using two fitness functions, GA341 and DOPE. 3D models are generated using the software MODELLER. We assess our algorithm on a total of 11 proteins whose structures are present in the Protein Data Bank (PDB) and which has been used in previous literature. Results obtained by our algorithm are compared with other homology modeling approaches as well as a pure ab-initio and a fragment based assembly approach. The 3D models predicted by our algorithm show improved root mean standard deviations (RMSD) with respect to the native structures.
eu_rights_str_mv openAccess
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network_acronym_str LAURepo
network_name_str Lebanese American University repository
oai_identifier_str oai:laur.lau.edu.lb:10725/2215
publishDate 2015
publisher.none.fl_str_mv Lebanese American University
repository.mail.fl_str_mv
repository.name.fl_str_mv
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spelling Scatter search metaheuristic for homology based protein structure prediction. (c2015)Stamboulian, Mouses HragProteins -- Structure -- Mathematical modelsSequence alignment (Bioinformatics)Scattering (Mathematics)Lebanese American University -- DissertationsDissertations, AcademicDetermining a protein’s structure is a challenging goal in structural bioinformatics, offering important insight towards understanding the function of a protein. Homology modeling is an effective technique in protein structure prediction (PSP). However this technique suffers from poor initial target-template alignments, especially when the sequence identity between the two falls below 25%. To improve homology based PSP, we propose a scatter search (SS) metaheuristic algorithm. Our algorithm optimizes the initial poor alignments, generated by a dynamic programming method. SS is an evolutionary approach that is based on a population of candidate solutions. These candidates undergo evolutionary operations that combine search intensification and diversification over a number of iterations. The metaheuristic is guided using two fitness functions, GA341 and DOPE. 3D models are generated using the software MODELLER. We assess our algorithm on a total of 11 proteins whose structures are present in the Protein Data Bank (PDB) and which has been used in previous literature. Results obtained by our algorithm are compared with other homology modeling approaches as well as a pure ab-initio and a fragment based assembly approach. The 3D models predicted by our algorithm show improved root mean standard deviations (RMSD) with respect to the native structures.N/A1 hard copy: xiii, 74 leave; ill. (some col.); 30 cm. available at RNL.Includes bibliographical references (leaves 63-71).Lebanese American University2015-09-30T08:50:01Z2015-09-30T08:50:01Z20152015-09-302015-05-21Thesisinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesishttp://hdl.handle.net/10725/2215https://doi.org/10.26756/th.2015.20eninfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/22152020-11-20T08:43:23Z
spellingShingle Scatter search metaheuristic for homology based protein structure prediction. (c2015)
Stamboulian, Mouses Hrag
Proteins -- Structure -- Mathematical models
Sequence alignment (Bioinformatics)
Scattering (Mathematics)
Lebanese American University -- Dissertations
Dissertations, Academic
status_str publishedVersion
title Scatter search metaheuristic for homology based protein structure prediction. (c2015)
title_full Scatter search metaheuristic for homology based protein structure prediction. (c2015)
title_fullStr Scatter search metaheuristic for homology based protein structure prediction. (c2015)
title_full_unstemmed Scatter search metaheuristic for homology based protein structure prediction. (c2015)
title_short Scatter search metaheuristic for homology based protein structure prediction. (c2015)
title_sort Scatter search metaheuristic for homology based protein structure prediction. (c2015)
topic Proteins -- Structure -- Mathematical models
Sequence alignment (Bioinformatics)
Scattering (Mathematics)
Lebanese American University -- Dissertations
Dissertations, Academic
url http://hdl.handle.net/10725/2215
https://doi.org/10.26756/th.2015.20