Journal of Dali University ›› 2021, Vol. 6 ›› Issue (10): 6-.DOI: 10. 3969/j. issn. 2096-2266. 2021. 10. 002

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Application of Mixed Linear Model in QSAR Study of Flavonoids

Lu Ang Yuan Shimeng Zhang Chenggui Ai Zhiqiong Wu Xiumei   

  1. 1. College of Public Health Dali University Dali Yunnan 671000 China 2. Yunnan Provincial Key Laboratory of Entomological Biopharmaceutical R&D Dali University Dali Yunnan 671000 China

  • Received:2021-03-25 Revised:2021-06-07 Online:2021-10-15 Published:2021-12-11

Abstract:

Objective To elucidate the structure-activity relationship between flavonoids and their antioxidant activities by constructing a quantitative structure-activity relationshipQSAR model using mixed linear modelMLM), hence to provide the basis for the design of these lead compounds. Methods Literature that reported the half maximal inhibitory concentrationIC50 of flavonoids against DPPH was retrieved and collected from the PubMed database and a database was established based on their molecular structure characteristics and IC50 values. The initial QSAR model was constructed through MLM the five-fold cross-validation method was applied to optimize the model and finally the prediction model was obtained. Results The antioxidant activity of flavonoid compounds was positively correlated with the numbers of ortho-phenolic-dihydroxyl in A ringX1 and the numbers of phenolic-hydroxyls in B ringX2), and negatively correlated with meta-phenolic-dihydroxyl in B ringX3. The optimized equation was that IC50 = 137.56-65.86X1-53.92 X2+70.85X3. Conclusion The established QSAR model by MLM could explicitly predict the antioxidant activity of flavonoids and provide reference for the design of antioxidants.

Key words:

"> QSAR">; flavonoids">; antioxidant activity">; mixed linear model">; five-fold cross-validation

CLC Number: