121 related articles for article (PubMed ID: 35764021)
1. QSPR study on Hydrophobicity of Pt(II) complexes with surface electrostatic potential-based descriptors.
Cui GY; Zou JW; Chen J; Hu GX; Jiang YJ; Huang M
J Mol Graph Model; 2022 Nov; 116():108256. PubMed ID: 35764021
[TBL] [Abstract][Full Text] [Related]
2. Prediction of the hydrophobicity of platinum(IV) complexes based on molecular surface properties.
Zou JW; Cui GY; Huang M; Hu GX; Jiang YJ
J Inorg Biochem; 2021 Apr; 217():111373. PubMed ID: 33578249
[TBL] [Abstract][Full Text] [Related]
3. QSPR modeling of bioconcentration factor of nonionic compounds using Gaussian processes and theoretical descriptors derived from electrostatic potentials on molecular surface.
Peng S; Jian-Wei Z; Peng Z; Lin X
Chemosphere; 2011 May; 83(8):1045-52. PubMed ID: 21339002
[TBL] [Abstract][Full Text] [Related]
4. Gas-to-ionic liquid partition: QSPR modeling and mechanistic interpretation.
Chang JX; Zou JW; Lou CY; Ye JX; Feng R; Li ZY; Hu GX
Mol Inform; 2023 Jun; 42(6):e2200223. PubMed ID: 37040091
[TBL] [Abstract][Full Text] [Related]
5. Quantitative structure-hydrophobicity relationships of molecular fragments and beyond.
Zou JW; Huang M; Huang JX; Hu GX; Jiang YJ
J Mol Graph Model; 2016 Mar; 64():110-120. PubMed ID: 26826800
[TBL] [Abstract][Full Text] [Related]
6. [Research on QSPR for n-octanol-water partition coefficients of organic compounds based on genetic algorithms-support vector machine and genetic algorithms-radial basis function neural networks].
Qi J; Niu JF; Wang LL
Huan Jing Ke Xue; 2008 Jan; 29(1):212-8. PubMed ID: 18441943
[TBL] [Abstract][Full Text] [Related]
7. Quantitative structure-property relationship study of n-octanol-water partition coefficients of some of diverse drugs using multiple linear regression.
Ghasemi J; Saaidpour S
Anal Chim Acta; 2007 Dec; 604(2):99-106. PubMed ID: 17996529
[TBL] [Abstract][Full Text] [Related]
8. Predicting liquid chromatographic retention times of peptides from the Drosophila melanogaster proteome by machine learning approaches.
Tian F; Yang L; Lv F; Zhou P
Anal Chim Acta; 2009 Jun; 644(1-2):10-6. PubMed ID: 19463555
[TBL] [Abstract][Full Text] [Related]
9. 2D Quantitative structure-property relationship study of mycotoxins by multiple linear regression and support vector machine.
Khosrokhavar R; Ghasemi JB; Shiri F
Int J Mol Sci; 2010 Aug; 11(9):3052-68. PubMed ID: 20957079
[TBL] [Abstract][Full Text] [Related]
10. Genetic Algorithm and Self-Organizing Maps for QSPR Study of Some N-aryl Derivatives as Butyrylcholinesterase Inhibitors.
Ahmadi S; Ganji S
Curr Drug Discov Technol; 2016; 13(4):232-253. PubMed ID: 27457492
[TBL] [Abstract][Full Text] [Related]
11. QSPR study of Setschenow constants of organic compounds using MLR, ANN, and SVM analyses.
Xu J; Wang L; Wang L; Shen X; Xu W
J Comput Chem; 2011 Nov; 32(15):3241-52. PubMed ID: 21837634
[TBL] [Abstract][Full Text] [Related]
12. Developing a support vector machine based QSPR model for prediction of half-life of some herbicides.
Samghani K; HosseinFatemi M
Ecotoxicol Environ Saf; 2016 Jul; 129():10-5. PubMed ID: 26970881
[TBL] [Abstract][Full Text] [Related]
13. [QSPR studies on the physicochemical properties of polybrominated diphenyl ethers using theoretical descriptors derived from electrostatic potentials on molecular Surface].
Xu HY; Zhang JY; Wang YH; Li L
Huan Jing Ke Xue; 2008 Feb; 29(2):398-408. PubMed ID: 18613512
[TBL] [Abstract][Full Text] [Related]
14. DFT-based theoretical prediction of intrinsic viscosity of polymer solutions.
Dang L; Zhang S
SAR QSAR Environ Res; 2018 Dec; 29(12):1011-1021. PubMed ID: 30411641
[TBL] [Abstract][Full Text] [Related]
15. The use of simple structural parameters of organic compounds to assess their PUF-air partition coefficients.
Keshavarz MH; Shirazi Z; Jafari M; Jannesari F
Chemosphere; 2024 Feb; 349():140855. PubMed ID: 38048827
[TBL] [Abstract][Full Text] [Related]
16. Application of GA-MLR for QSAR Modeling of the Arylthioindole Class of Tubulin Polymerization Inhibitors as Anticancer Agents.
Ahmadi S; Habibpour E
Anticancer Agents Med Chem; 2017; 17(4):552-565. PubMed ID: 27528182
[TBL] [Abstract][Full Text] [Related]
17. Comparative chemometric modeling of cytochrome 3A4 inhibitory activity of structurally diverse compounds using stepwise MLR, FA-MLR, PLS, GFA, G/PLS and ANN techniques.
Roy K; Pratim Roy P
Eur J Med Chem; 2009 Jul; 44(7):2913-22. PubMed ID: 19128860
[TBL] [Abstract][Full Text] [Related]
18. Computer Assisted Models for Blood Brain Barrier Permeation of 1, 5-Benzodiazepines.
Dhavale RP; Choudhari PB; Bhatia MS
Curr Comput Aided Drug Des; 2021; 17(2):187-200. PubMed ID: 32003700
[TBL] [Abstract][Full Text] [Related]
19. Inclusion of molecular descriptors in predictive models improves pesticide soil-air partitioning estimates.
Islam MN; Huang L; Siciliano SD
Chemosphere; 2020 Jun; 248():126031. PubMed ID: 32032877
[TBL] [Abstract][Full Text] [Related]
20. QSPR modelling for intrinsic viscosity in polymer-solvent combinations based on density functional theory.
Wang S; Cheng M; Zhou L; Dai Y; Dang Y; Ji X
SAR QSAR Environ Res; 2021 May; 32(5):379-393. PubMed ID: 33823697
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
