245 related articles for article (PubMed ID: 28028694)
1. A new model of flavonoids affinity towards P-glycoprotein: genetic algorithm-support vector machine with features selected by a modified particle swarm optimization algorithm.
Cui Y; Chen Q; Li Y; Tang L
Arch Pharm Res; 2017 Feb; 40(2):214-230. PubMed ID: 28028694
[TBL] [Abstract][Full Text] [Related]
2. QSAR modeling of peptide biological activity by coupling support vector machine with particle swarm optimization algorithm and genetic algorithm.
Zhou X; Li Z; Dai Z; Zou X
J Mol Graph Model; 2010 Sep; 29(2):188-96. PubMed ID: 20621530
[TBL] [Abstract][Full Text] [Related]
3. Identifying P-glycoprotein substrates using a support vector machine optimized by a particle swarm.
Huang J; Ma G; Muhammad I; Cheng Y
J Chem Inf Model; 2007; 47(4):1638-47. PubMed ID: 17608407
[TBL] [Abstract][Full Text] [Related]
4. Prediction of Anti-proliferation Effect of [1,2,3]Triazolo[4,5-d]pyrimidine Derivatives by Random Forest and Mix-Kernel Function SVM with PSO.
Gao Z; Xia R; Zhang P
Chem Pharm Bull (Tokyo); 2022 Oct; 70(10):684-693. PubMed ID: 35922903
[TBL] [Abstract][Full Text] [Related]
5. Image-Based Analysis to Predict the Activity of Tariquidar Analogs as P-Glycoprotein Inhibitors: The Importance of External Validation.
Shayanfar S; Shayanfar A; Ghandadi M
Arch Pharm (Weinheim); 2016 Feb; 349(2):124-31. PubMed ID: 26708190
[TBL] [Abstract][Full Text] [Related]
6. QSAR prediction of HIV-1 protease inhibitory activities using docking derived molecular descriptors.
Fatemi MH; Heidari A; Gharaghani S
J Theor Biol; 2015 Mar; 369():13-22. PubMed ID: 25600056
[TBL] [Abstract][Full Text] [Related]
7. Simultaneously optimized support vector regression combined with genetic algorithm for QSAR analysis of KDR/VEGFR-2 inhibitors.
Sun M; Chen J; Cai J; Cao M; Yin S; Ji M
Chem Biol Drug Des; 2010 May; 75(5):494-505. PubMed ID: 20486936
[TBL] [Abstract][Full Text] [Related]
8. Prediction of histone deacetylase inhibition by triazole compounds based on artificial intelligence.
Wang Y; Zhang P
Front Pharmacol; 2023; 14():1260349. PubMed ID: 38035010
[TBL] [Abstract][Full Text] [Related]
9. Radial basis function network-based transform for a nonlinear support vector machine as optimized by a particle swarm optimization algorithm with application to QSAR studies.
Tang LJ; Zhou YP; Jiang JH; Zou HY; Wu HL; Shen GL; Yu RQ
J Chem Inf Model; 2007; 47(4):1438-45. PubMed ID: 17555309
[TBL] [Abstract][Full Text] [Related]
10. Prediction of P2Y12 antagonists using a novel genetic algorithm-support vector machine coupled approach.
Hao M; Li Y; Wang Y; Zhang S
Anal Chim Acta; 2011 Mar; 690(1):53-63. PubMed ID: 21414436
[TBL] [Abstract][Full Text] [Related]
11. Adaptive variable-weighted support vector machine as optimized by particle swarm optimization algorithm with application of QSAR studies.
Wen JH; Zhong KJ; Tang LJ; Jiang JH; Wu HL; Shen GL; Yu RQ
Talanta; 2011 Mar; 84(1):13-8. PubMed ID: 21315891
[TBL] [Abstract][Full Text] [Related]
12. Image-based QSAR Model for the Prediction of P-gp Inhibitory Activity of Epigallocatechin and Gallocatechin Derivatives.
Ghaemian P; Shayanfar A
Curr Comput Aided Drug Des; 2019; 15(3):212-224. PubMed ID: 30280673
[TBL] [Abstract][Full Text] [Related]
13. Support vector machine based training of multilayer feedforward neural networks as optimized by particle swarm algorithm: application in QSAR studies of bioactivity of organic compounds.
Lin WQ; Jiang JH; Zhou YP; Wu HL; Shen GL; Yu RQ
J Comput Chem; 2007 Jan; 28(2):519-27. PubMed ID: 17186488
[TBL] [Abstract][Full Text] [Related]
14. A quantitative structure-activity relationship model for radical scavenging activity of flavonoids.
Om A; Kim JH
J Med Food; 2008 Mar; 11(1):29-37. PubMed ID: 18361735
[TBL] [Abstract][Full Text] [Related]
15. A genetic algorithm- back propagation artificial neural network model to quantify the affinity of flavonoids toward P-glycoprotein.
Shen J; Cui Y; Gu J; Li Y; Li L
Comb Chem High Throughput Screen; 2014 Feb; 17(2):162-72. PubMed ID: 24206113
[TBL] [Abstract][Full Text] [Related]
16. [Quantitative structure-activity relationship model for prediction of cardiotoxicity of chemical components in traditional Chinese medicines].
Beijing Da Xue Xue Bao Yi Xue Ban; 2017 Jun; 49(3):551-556. PubMed ID: 28628163
[TBL] [Abstract][Full Text] [Related]
17. Seminal quality prediction using data mining methods.
Sahoo AJ; Kumar Y
Technol Health Care; 2014; 22(4):531-45. PubMed ID: 24898862
[TBL] [Abstract][Full Text] [Related]
18. Evaluation of QSAR Equations for Virtual Screening.
Spiegel J; Senderowitz H
Int J Mol Sci; 2020 Oct; 21(21):. PubMed ID: 33105703
[TBL] [Abstract][Full Text] [Related]
19. A 3D linear solvation energy model to quantify the affinity of flavonoid derivatives toward P-glycoprotein.
Boccard J; Bajot F; Di Pietro A; Rudaz S; Boumendjel A; Nicolle E; Carrupt PA
Eur J Pharm Sci; 2009 Feb; 36(2-3):254-64. PubMed ID: 18955135
[TBL] [Abstract][Full Text] [Related]
20. Combinatorial QSAR of ambergris fragrance compounds.
Kovatcheva A; Golbraikh A; Oloff S; Xiao YD; Zheng W; Wolschann P; Buchbauer G; Tropsha A
J Chem Inf Comput Sci; 2004; 44(2):582-95. PubMed ID: 15032539
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]