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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.
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
Description
ISSN:1664-302X
DOI:10.3389/fmicb.2026.1744805