The Z score of the vaccines’ 3D models; before (V1: A, V2: C) and after (V1: B, V2:D) refinement process.
<p>The Z score of the vaccines’ 3D models; before (V1: A, V2: C) and after (V1: B, V2:D) refinement process.</p>
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2025
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| _version_ | 1852022779361099776 |
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| author | Rehana Parvin (841451) |
| author2 | Md. Habib Ullah Masum (13527469) Homaira Pervin Heema (20714921) Aklima Akter (5130614) Mohammad Alamgir Hossain (20714924) A. M. A. M. Zonaed Siddiki (8996447) |
| author2_role | author author author author author |
| author_facet | Rehana Parvin (841451) Md. Habib Ullah Masum (13527469) Homaira Pervin Heema (20714921) Aklima Akter (5130614) Mohammad Alamgir Hossain (20714924) A. M. A. M. Zonaed Siddiki (8996447) |
| author_role | author |
| dc.creator.none.fl_str_mv | Rehana Parvin (841451) Md. Habib Ullah Masum (13527469) Homaira Pervin Heema (20714921) Aklima Akter (5130614) Mohammad Alamgir Hossain (20714924) A. M. A. M. Zonaed Siddiki (8996447) |
| dc.date.none.fl_str_mv | 2025-02-12T18:27:14Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0310510.g005 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/The_Z_score_of_the_vaccines_3D_models_before_V1_A_V2_C_and_after_V1_B_V2_D_refinement_process_/28402103 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Microbiology Biotechnology Immunology Cancer Infectious Diseases Biological Sciences not elsewhere classified virtual physiological system significant binding affinity several computational platforms gbsa analyses confirmed following codon optimization employed computational approaches 28a (+) plasmid average gc content designed vaccine candidate potent ag5 antigen natural killer cell div >< p based vaccine using based vaccine grand average ag5 protein vaccine ’ tertiary structure successfully expressed structurally stable structural stability silico </ severe implications potent epitopes increased ifn immune responses highly soluble future preclinical findings highlight echinococcus </ e </ docked complexes coli </ cell derived cai value animal health also found 433 ). 34 %) 2 levels |
| dc.title.none.fl_str_mv | The Z score of the vaccines’ 3D models; before (V1: A, V2: C) and after (V1: B, V2:D) refinement process. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>The Z score of the vaccines’ 3D models; before (V1: A, V2: C) and after (V1: B, V2:D) refinement process.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_dc7329ffc839b1c4e84e2eb5ed2095d5 |
| identifier_str_mv | 10.1371/journal.pone.0310510.g005 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28402103 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | The Z score of the vaccines’ 3D models; before (V1: A, V2: C) and after (V1: B, V2:D) refinement process.Rehana Parvin (841451)Md. Habib Ullah Masum (13527469)Homaira Pervin Heema (20714921)Aklima Akter (5130614)Mohammad Alamgir Hossain (20714924)A. M. A. M. Zonaed Siddiki (8996447)MicrobiologyBiotechnologyImmunologyCancerInfectious DiseasesBiological Sciences not elsewhere classifiedvirtual physiological systemsignificant binding affinityseveral computational platformsgbsa analyses confirmedfollowing codon optimizationemployed computational approaches28a (+) plasmidaverage gc contentdesigned vaccine candidatepotent ag5 antigennatural killer celldiv >< pbased vaccine usingbased vaccinegrand averageag5 proteinvaccine ’tertiary structuresuccessfully expressedstructurally stablestructural stabilitysilico </severe implicationspotent epitopesincreased ifnimmune responseshighly solublefuture preclinicalfindings highlightechinococcus </e </docked complexescoli </cell derivedcai valueanimal healthalso found433 ).34 %)2 levels<p>The Z score of the vaccines’ 3D models; before (V1: A, V2: C) and after (V1: B, V2:D) refinement process.</p>2025-02-12T18:27:14ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0310510.g005https://figshare.com/articles/figure/The_Z_score_of_the_vaccines_3D_models_before_V1_A_V2_C_and_after_V1_B_V2_D_refinement_process_/28402103CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/284021032025-02-12T18:27:14Z |
| spellingShingle | The Z score of the vaccines’ 3D models; before (V1: A, V2: C) and after (V1: B, V2:D) refinement process. Rehana Parvin (841451) Microbiology Biotechnology Immunology Cancer Infectious Diseases Biological Sciences not elsewhere classified virtual physiological system significant binding affinity several computational platforms gbsa analyses confirmed following codon optimization employed computational approaches 28a (+) plasmid average gc content designed vaccine candidate potent ag5 antigen natural killer cell div >< p based vaccine using based vaccine grand average ag5 protein vaccine ’ tertiary structure successfully expressed structurally stable structural stability silico </ severe implications potent epitopes increased ifn immune responses highly soluble future preclinical findings highlight echinococcus </ e </ docked complexes coli </ cell derived cai value animal health also found 433 ). 34 %) 2 levels |
| status_str | publishedVersion |
| title | The Z score of the vaccines’ 3D models; before (V1: A, V2: C) and after (V1: B, V2:D) refinement process. |
| title_full | The Z score of the vaccines’ 3D models; before (V1: A, V2: C) and after (V1: B, V2:D) refinement process. |
| title_fullStr | The Z score of the vaccines’ 3D models; before (V1: A, V2: C) and after (V1: B, V2:D) refinement process. |
| title_full_unstemmed | The Z score of the vaccines’ 3D models; before (V1: A, V2: C) and after (V1: B, V2:D) refinement process. |
| title_short | The Z score of the vaccines’ 3D models; before (V1: A, V2: C) and after (V1: B, V2:D) refinement process. |
| title_sort | The Z score of the vaccines’ 3D models; before (V1: A, V2: C) and after (V1: B, V2:D) refinement process. |
| topic | Microbiology Biotechnology Immunology Cancer Infectious Diseases Biological Sciences not elsewhere classified virtual physiological system significant binding affinity several computational platforms gbsa analyses confirmed following codon optimization employed computational approaches 28a (+) plasmid average gc content designed vaccine candidate potent ag5 antigen natural killer cell div >< p based vaccine using based vaccine grand average ag5 protein vaccine ’ tertiary structure successfully expressed structurally stable structural stability silico </ severe implications potent epitopes increased ifn immune responses highly soluble future preclinical findings highlight echinococcus </ e </ docked complexes coli </ cell derived cai value animal health also found 433 ). 34 %) 2 levels |