Evidence map›Paper›PMID 40444409›Full record

ArticleJournal of the science of food and agriculture2025

Developing a quantitative structure-property relationships (QSPR) model using Caco-2 cell bioavailability indicators (BA) to predict the BA of phytochemicals.

Kang-Woo Lee, Dong-Ho Lee, In-Su Na, Jin-Woo Kim, Na-Yeon Lee, Jin-Soo Park, Keunwan Park, Chau Hoang Bao Nguyen, Kyungsu Kang, Soon-Mi Shim

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In one paragraph

Article in Journal of the science of food and agriculture, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Kang-Woo LeeDepartment of Food Science and Biotechnology, Sejong University, Seoul, South Korea.
Dong-Ho LeeDepartment of Food Science and Biotechnology, Sejong University, Seoul, South Korea.
In-Su NaDepartment of Food Science and Biotechnology, Sejong University, Seoul, South Korea.
Jin-Woo KimDepartment of Food Science and Biotechnology, Sejong University, Seoul, South Korea.
Na-Yeon LeeDepartment of Food Science and Biotechnology, Sejong University, Seoul, South Korea.
Jin-Soo ParkCenter for Natural Product Systems Biology, Gangneung Institute of Natural Products, Korea Institute of Science and Technology, Gangneung, South Korea.
Keunwan ParkCenter for Natural Product Systems Biology, Gangneung Institute of Natural Products, Korea Institute of Science and Technology, Gangneung, South Korea.
Chau Hoang Bao NguyenCenter for Natural Product Systems Biology, Gangneung Institute of Natural Products, Korea Institute of Science and Technology, Gangneung, South Korea.
Kyungsu KangCenter for Natural Product Systems Biology, Gangneung Institute of Natural Products, Korea Institute of Science and Technology, Gangneung, South Korea.ORCID https://orcid.org/0000-0003-3846-7936
Soon-Mi ShimDepartment of Food Science and Biotechnology, Sejong University, Seoul, South Korea.ORCID https://orcid.org/0000-0002-5978-9662

Funding

Development of Data Utilization Technology for Natural Product Research 2E33521
6 · The paper itself

Abstract

backgroundThe present study aimed to measure bioavailability (BA) indicators, including epithelial barrier function, apparent permeability (P

resultsWith these BA indicators, Isomeric SMILES including information such as the stereochemistry, chemical structure and properties of phytochemicals was encoded to molecular descriptors using PaDEL-Descriptor and alvaDesc. The validity of the dataset was verified using principal component analysis, leverage plot and Williams plot. In the case of transepithelial electrical resistance (TEER), R

conclusionThe present study suggests that a prediction system for bioavailability, including TEER, P

Indexed as

PhytochemicalsBiological AvailabilityCaco-2 CellsHumansMachine LearningModels, BiologicalPermeabilityQuantitative Structure-Activity RelationshipPhytochemicalsbioavailabilityCaco‐2machine learningphytochemicalsQSPR model

Identifiers

PMID40444409
PMCPMC12355335

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.