Chlamy_ChloroPred: a deep learning-based, highly accurate binary classifier for chloroplast protein prediction in the model microalga, Chlamydomonas reinhardtii, with potential cross-proteome versatility.
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| Title: | Chlamy_ChloroPred: a deep learning-based, highly accurate binary classifier for chloroplast protein prediction in the model microalga, Chlamydomonas reinhardtii, with potential cross-proteome versatility. |
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| Authors: | Choi HI; Cell Factory Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea.; Department of Bioresource and Environmental Engineering, University of Science and Technology (UST), Daejeon, Republic of Korea., Lee SH; Daemyung Vision Co., Ltd., Yongin-si, Republic of Korea., Lee IH; Daemyung Vision Co., Ltd., Yongin-si, Republic of Korea., Lee YJ; Cell Factory Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea.; Department of Bioresource and Environmental Engineering, University of Science and Technology (UST), Daejeon, Republic of Korea., Yun JH; Cell Factory Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea.; Department of Bioresource and Environmental Engineering, University of Science and Technology (UST), Daejeon, Republic of Korea.; Department of Integrative Biotechnology, Sungkyunkwan University, Suwon-si, Republic of Korea., Choi DY; Cell Factory Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea., Cho DH; Cell Factory Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea., Shin BS; Cell Factory Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea., Chun J; Cell Factory Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea.; Department of Bioresource and Environmental Engineering, University of Science and Technology (UST), Daejeon, Republic of Korea., Lee DW; Cell Factory Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea., Kim HS; Cell Factory Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea.; Department of Bioresource and Environmental Engineering, University of Science and Technology (UST), Daejeon, Republic of Korea. |
| Source: | Frontiers in microbiology [Front Microbiol] 2026 Feb 23; Vol. 17, pp. 1744805. Date of Electronic Publication: 2026 Feb 23 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101548977 Publication Model: eCollection Cited Medium: Print ISSN: 1664-302X (Print) Linking ISSN: 1664302X NLM ISO Abbreviation: Front Microbiol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41809595 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Chlamy&#95;ChloroPred: a deep learning-based, highly accurate binary classifier for chloroplast protein prediction in the model microalga, Chlamydomonas reinhardtii, with potential cross-proteome versatility. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Choi+HI%22">Choi HI</searchLink>; Cell Factory Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea.; Department of Bioresource and Environmental Engineering, University of Science and Technology (UST), Daejeon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+SH%22">Lee SH</searchLink>; Daemyung Vision Co., Ltd., Yongin-si, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+IH%22">Lee IH</searchLink>; Daemyung Vision Co., Ltd., Yongin-si, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+YJ%22">Lee YJ</searchLink>; Cell Factory Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea.; Department of Bioresource and Environmental Engineering, University of Science and Technology (UST), Daejeon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Yun+JH%22">Yun JH</searchLink>; Cell Factory Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea.; Department of Bioresource and Environmental Engineering, University of Science and Technology (UST), Daejeon, Republic of Korea.; Department of Integrative Biotechnology, Sungkyunkwan University, Suwon-si, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Choi+DY%22">Choi DY</searchLink>; Cell Factory Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Cho+DH%22">Cho DH</searchLink>; Cell Factory Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Shin+BS%22">Shin BS</searchLink>; Cell Factory Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Chun+J%22">Chun J</searchLink>; Cell Factory Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea.; Department of Bioresource and Environmental Engineering, University of Science and Technology (UST), Daejeon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+DW%22">Lee DW</searchLink>; Cell Factory Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+HS%22">Kim HS</searchLink>; Cell Factory Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea.; Department of Bioresource and Environmental Engineering, University of Science and Technology (UST), Daejeon, Republic of Korea. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101548977%22">Frontiers in microbiology</searchLink> [Front Microbiol] 2026 Feb 23; Vol. 17, pp. 1744805. <i>Date of Electronic Publication: </i>2026 Feb 23 (<i>Print Publication: </i>2026). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Research+Foundation%22">Frontiers Research Foundation </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101548977 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>1664-302X (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221664302X%22">1664302X </searchLink><i>NLM ISO Abbreviation: </i>Front Microbiol <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41809595 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3389/fmicb.2026.1744805 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1744805 Titles: – TitleFull: Chlamy_ChloroPred: a deep learning-based, highly accurate binary classifier for chloroplast protein prediction in the model microalga, Chlamydomonas reinhardtii, with potential cross-proteome versatility. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Choi HI – PersonEntity: Name: NameFull: Lee SH – PersonEntity: Name: NameFull: Lee IH – PersonEntity: Name: NameFull: Lee YJ – PersonEntity: Name: NameFull: Yun JH – PersonEntity: Name: NameFull: Choi DY – PersonEntity: Name: NameFull: Cho DH – PersonEntity: Name: NameFull: Shin BS – PersonEntity: Name: NameFull: Chun J – PersonEntity: Name: NameFull: Lee DW – PersonEntity: Name: NameFull: Kim HS IsPartOfRelationships: – BibEntity: Dates: – D: 23 M: 02 Text: 2026 Feb 23 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 1664-302X Numbering: – Type: volume Value: 17 Titles: – TitleFull: Frontiers in microbiology Type: main |
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