Harris Hawks Optimizer for Solving Multiple Sequence Alignment Article Swipe
M.K. Ibrahim
,
Umi Kalsom Yusof
,
Rosni Abdullah
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/1997/1/012008
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/1997/1/012008
In the field of bioinformatics, sequence alignment is crucial for the genes study and drug development. Multiple Sequence Alignment (MSA) is an NP-hard problem in the sequence alignment. In the last three decades, the MSA problem has drawn a great deal of interest from biologists and scientists. It is an essential method to identify the structural and behavioural attributes of biomolecules present in organisms and vital to biological processes. Nature-inspired algorithms are one of the approaches to solve the MSA problem of aligning multiple sequences at a time. They construct powerful tools to overpower traditional optimization techniques to find an accurate solution. This investigative work (HHO-MSA) brings a new nature-inspired algorithm known as the Harris Hawks Optimizer (HHO) Algorithm to solve the MSA problem. HHO’s key influence is the cooperative behaviour and hunting style of the Harris hawks in nature called the surprise pounce. The computational results across five references of the BAliBASE dataset proven the proposed HHO-MSA method’s effectiveness by reaching great results (up to 83.5% optimum solutions). Findings were statistically supported while comparing it with other established literature works to solve the MSA problem.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1742-6596/1997/1/012008
- OA Status
- diamond
- Cited By
- 1
- References
- 31
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3196872467
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3196872467Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1088/1742-6596/1997/1/012008Digital Object Identifier
- Title
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Harris Hawks Optimizer for Solving Multiple Sequence AlignmentWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-08-01Full publication date if available
- Authors
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M.K. Ibrahim, Umi Kalsom Yusof, Rosni AbdullahList of authors in order
- Landing page
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https://doi.org/10.1088/1742-6596/1997/1/012008Publisher landing page
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://doi.org/10.1088/1742-6596/1997/1/012008Direct OA link when available
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Surprise, Construct (python library), Sequence (biology), Computer science, Field (mathematics), Algorithm, Key (lock), Artificial intelligence, Mathematics, Biology, Sociology, Communication, Genetics, Pure mathematics, Computer security, Programming languageTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2024: 1Per-year citation counts (last 5 years)
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31Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.known | 112 |
| abstract_inverted_index.other | 178 |
| abstract_inverted_index.solve | 78, 121, 183 |
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| abstract_inverted_index.style | 134 |
| abstract_inverted_index.three | 32 |
| abstract_inverted_index.time. | 88 |
| abstract_inverted_index.tools | 92 |
| abstract_inverted_index.vital | 66 |
| abstract_inverted_index.while | 174 |
| abstract_inverted_index.works | 181 |
| abstract_inverted_index.Harris | 115, 137 |
| abstract_inverted_index.across | 148 |
| abstract_inverted_index.brings | 107 |
| abstract_inverted_index.called | 141 |
| abstract_inverted_index.method | 52 |
| abstract_inverted_index.nature | 140 |
| abstract_inverted_index.proven | 155 |
| abstract_inverted_index.HHO-MSA | 158 |
| abstract_inverted_index.HHO’s | 125 |
| abstract_inverted_index.NP-hard | 23 |
| abstract_inverted_index.crucial | 9 |
| abstract_inverted_index.dataset | 154 |
| abstract_inverted_index.hunting | 133 |
| abstract_inverted_index.optimum | 168 |
| abstract_inverted_index.pounce. | 144 |
| abstract_inverted_index.present | 62 |
| abstract_inverted_index.problem | 24, 36, 81 |
| abstract_inverted_index.results | 147, 164 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.BAliBASE | 153 |
| abstract_inverted_index.Findings | 170 |
| abstract_inverted_index.Multiple | 17 |
| abstract_inverted_index.Sequence | 18 |
| abstract_inverted_index.accurate | 101 |
| abstract_inverted_index.aligning | 83 |
| abstract_inverted_index.decades, | 33 |
| abstract_inverted_index.identify | 54 |
| abstract_inverted_index.interest | 43 |
| abstract_inverted_index.multiple | 84 |
| abstract_inverted_index.powerful | 91 |
| abstract_inverted_index.problem. | 124, 186 |
| abstract_inverted_index.proposed | 157 |
| abstract_inverted_index.reaching | 162 |
| abstract_inverted_index.sequence | 6, 27 |
| abstract_inverted_index.surprise | 143 |
| abstract_inverted_index.(HHO-MSA) | 106 |
| abstract_inverted_index.Algorithm | 119 |
| abstract_inverted_index.Alignment | 19 |
| abstract_inverted_index.Optimizer | 117 |
| abstract_inverted_index.algorithm | 111 |
| abstract_inverted_index.alignment | 7 |
| abstract_inverted_index.behaviour | 131 |
| abstract_inverted_index.comparing | 175 |
| abstract_inverted_index.construct | 90 |
| abstract_inverted_index.essential | 51 |
| abstract_inverted_index.influence | 127 |
| abstract_inverted_index.organisms | 64 |
| abstract_inverted_index.overpower | 94 |
| abstract_inverted_index.sequences | 85 |
| abstract_inverted_index.solution. | 102 |
| abstract_inverted_index.supported | 173 |
| abstract_inverted_index.algorithms | 71 |
| abstract_inverted_index.alignment. | 28 |
| abstract_inverted_index.approaches | 76 |
| abstract_inverted_index.attributes | 59 |
| abstract_inverted_index.biological | 68 |
| abstract_inverted_index.biologists | 45 |
| abstract_inverted_index.literature | 180 |
| abstract_inverted_index.method’s | 159 |
| abstract_inverted_index.processes. | 69 |
| abstract_inverted_index.references | 150 |
| abstract_inverted_index.structural | 56 |
| abstract_inverted_index.techniques | 97 |
| abstract_inverted_index.behavioural | 58 |
| abstract_inverted_index.cooperative | 130 |
| abstract_inverted_index.established | 179 |
| abstract_inverted_index.scientists. | 47 |
| abstract_inverted_index.solutions). | 169 |
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| abstract_inverted_index.biomolecules | 61 |
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| abstract_inverted_index.statistically | 172 |
| abstract_inverted_index.Nature-inspired | 70 |
| abstract_inverted_index.bioinformatics, | 5 |
| abstract_inverted_index.nature-inspired | 110 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5085868377 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| corresponding_institution_ids | https://openalex.org/I139322472 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.550000011920929 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.45261325 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |