Evidence map›Paper›PMID 41217543›Full record

ArticleJournal of molecular modeling2025

Influence of Gaussian calculation method settings on QSRR model accuracy for DFT-calculated phenolic acid solubility energy.

Hongyue Li, Shiyuan Sun, Zhou Fang, Danrong Ni, Xinran Zhang, Shuting Zhang, Shushuang Shen, Changhai Sun, Liting Mu

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Article in Journal of molecular modeling, 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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9 authors.

Hongyue Li *School of Pharmacy, Jiamusi University, POB 154007, Jiamusi, China.
Shiyuan Sun *School of Pharmacy, Jiamusi University, POB 154007, Jiamusi, China.
Zhou FangThe First Affiliated Hospital of Jiamusi University, POB 154002, Jiamusi, China.
Danrong NiMudanjiang Medical University, POB 157011, Mudanjiang, China.
Xinran ZhangSchool of Pharmacy, Jiamusi University, POB 154007, Jiamusi, China.
Shuting ZhangSchool of Pharmacy, Jiamusi University, POB 154007, Jiamusi, China.
Shushuang ShenSchool of Pharmacy, Jiamusi University, POB 154007, Jiamusi, China. 1034010717@qq.com.
Changhai SunSchool of Pharmacy, Jiamusi University, POB 154007, Jiamusi, China. sch-jms@sohu.com.
Liting MuSchool of Pharmacy, Jiamusi University, POB 154007, Jiamusi, China. muliting@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextQuantitative structure-retention relationship is a key method for rapidly predicting the retention time of compounds. However, there have been few systematic studies on the application of QSRR to predict the retention time of phenolic acids, and there are many molecular descriptors and reference standards. This model utilized the experimental chromatographic retention parameter (t

methodsHPLC was used to obtain the retention times of the compounds. GaussView 5.0 and Gaussian 09W were employed to perform structural optimization and molecular descriptor calculations for the corresponding compounds using different methods. Stepwise multiple linear regression fitting was then used to calculate the absolute values of the errors in the chromatographic retention parameters for each model. Paired sample t-tests were subsequently conducted to compare the effects of using different methods to calculate solubility on the model performance. The structure optimization was performed employing the DFT-RB3LYP method from the Gaussian09W package, with various calculation settings including 6-31G, 6-31G-D3, 6-31 +  + G-D3, 6-31G*, 6-31G*-D3, 6-31G**, 6-31G**-D3, 6-31 +  + G**-D3, 6-311G, 6-311G-D3, 6-311 +  + G-D3, 6-311G*, 6-311G*-D3, 6-311G**, 6-311G**-D3, and 6-311 +  + G** (a total of 16 different methods) that were calculated. The solubility energies (E

Indexed as

DFTGaussianMolecular descriptorsPhenolic acidQSRR

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