Structure-Based Pipeline for Plant Enzymes: Pilot Study Identifying Novel Ginsenoside Biosynthetic UGTs

Models that predict the 3D structure of proteins enable us to easily analyze the structure of unknown proteins. Though many of these models have been found to be accurate, their application in plant proteins is not always entirely accurate. Thus, we aimed to develop a versatile yet simple pipeline that can predict novel proteins with a specific function. As an example, via benchmark studies, we sought to discover novel UDP-glycosyltransferases (UGTs) potentially involved in ginsenoside biosynthesis. Since the functionality of these UGTs has been shown to be determined by a few amino acids, a 3D-structure-based pipeline was required. Our pipeline includes four sequential steps: a sequence-based homology search, AlphaFold3-based 3D structure prediction, docking simulations with ginsenoside intermediates using SwissDock and CB-Dock2, and MPEK analysis to assess interaction stability. Through the application of this benchmark, we optimized the role of each module in the pipeline and successfully identified four novel UGT candidates. These candidates are predicted to catalyze the conversion of protopanaxadiol (PPD) to compound K (CK) or protopanaxatriol (PPT) to ginsenoside F1. This pilot study demonstrates how our pipeline can be used for the functional annotation of plant proteins and the discovery of enzymes involved in specialized pathways.

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Publication Details

Journal
BioTech
Published
2025-09-12
DOI
https://doi.org/10.3390/biotech14030073
Citations
2
Primary Topic
Ginseng Biological Effects and Applications
Type
article
Field-Weighted Citation Impact
1.61
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article

Structure-Based Pipeline for Plant Enzymes: Pilot Study Identifying Novel Ginsenoside Biosynthetic UGTs

Kyeong-Ah Jung, Ick-Hyun Jo, Bae Young Choi, Jaewook Kim
2 citations
BioTech
Ginseng Biological Effects and Applications
1.61
article

Structure-Based Pipeline for Plant Enzymes: Pilot Study Identifying Novel Ginsenoside Biosynthetic UGTs

Kyeong-Ah Jung, Ick-Hyun Jo, Bae Young Choi, Jaewook Kim
article en
2 citations

Abstract

Models that predict the 3D structure of proteins enable us to easily analyze the structure of unknown proteins. Though many of these models have been found to be accurate, their application in plant proteins is not always entirely accurate. Thus, we aimed to develop a versatile yet simple pipeline that can predict novel proteins with a specific function. As an example, via benchmark studies, we sought to discover novel UDP-glycosyltransferases (UGTs) potentially involved in ginsenoside biosynthesis. Since the functionality of these UGTs has been shown to be determined by a few amino acids, a 3D-structure-based pipeline was required. Our pipeline includes four sequential steps: a sequence-based homology search, AlphaFold3-based 3D structure prediction, docking simulations with ginsenoside intermediates using SwissDock and CB-Dock2, and MPEK analysis to assess interaction stability. Through the application of this benchmark, we optimized the role of each module in the pipeline and successfully identified four novel UGT candidates. These candidates are predicted to catalyze the conversion of protopanaxadiol (PPD) to compound K (CK) or protopanaxatriol (PPT) to ginsenoside F1. This pilot study demonstrates how our pipeline can be used for the functional annotation of plant proteins and the discovery of enzymes involved in specialized pathways.

BioTechVol. 14(3)
Korea National University of Transportation (KR), Korea National University of Education (KR), Dankook University (KR)
Openalex Percentile: Top 15%
Ginseng Biological Effects and Applications
1.61
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