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Improving protein secretion in yeasts: From secretion leader engineering and AI-driven prediction to bioprocess performance.

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Title: Improving protein secretion in yeasts: From secretion leader engineering and AI-driven prediction to bioprocess performance.
Authors: Choe EH; Department of Biotechnology, College of Applied Life Science (SARI), Jeju National University, Jeju 63243, the Republic of Korea; SynBioChem Convergence Institute (SBCI), Jeju National University, Jeju 63243, the Republic of Korea., Kang YM; Department of Biotechnology, College of Applied Life Science (SARI), Jeju National University, Jeju 63243, the Republic of Korea; SynBioChem Convergence Institute (SBCI), Jeju National University, Jeju 63243, the Republic of Korea., Yang KJ; Department of Biotechnology, College of Applied Life Science (SARI), Jeju National University, Jeju 63243, the Republic of Korea; SynBioChem Convergence Institute (SBCI), Jeju National University, Jeju 63243, the Republic of Korea., Yang HJ; Department of Biotechnology, College of Applied Life Science (SARI), Jeju National University, Jeju 63243, the Republic of Korea; SynBioChem Convergence Institute (SBCI), Jeju National University, Jeju 63243, the Republic of Korea., Yang JS; Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra, Barcelona 08193, Spain., Ko YJ; Department of Biotechnology, College of Applied Life Science (SARI), Jeju National University, Jeju 63243, the Republic of Korea; SynBioChem Convergence Institute (SBCI), Jeju National University, Jeju 63243, the Republic of Korea. Electronic address: yjko@jejunu.ac.kr.
Source: Bioresource technology [Bioresour Technol] 2026 Jul 14, pp. 135415. Date of Electronic Publication: 2026 Jul 14.
Publication Type: Journal Article; Review
Journal Info: Publisher: Elsevier Applied Science Country of Publication: England NLM ID: 9889523 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2976 (Electronic) Linking ISSN: 09608524 NLM ISO Abbreviation: Bioresour Technol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-2976
DOI:10.1016/j.biortech.2026.135415