177 related articles for article (PubMed ID: 20111683)
1. Classification of 5-HT(1A) receptor ligands on the basis of their binding affinities by using PSO-Adaboost-SVM.
Cheng Z; Zhang Y; Zhou C; Zhang W; Gao S
Int J Mol Sci; 2009 Jul; 10(8):3316-3337. PubMed ID: 20111683
[TBL] [Abstract][Full Text] [Related]
2. Classification of 5-HT(1A) receptor agonists and antagonists using GA-SVM method.
Zhu XL; Cai HY; Xu ZJ; Wang Y; Wang HY; Zhang A; Zhu WL
Acta Pharmacol Sin; 2011 Nov; 32(11):1424-30. PubMed ID: 21963891
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Particle swarm optimization and genetic algorithm as feature selection techniques for the QSAR modeling of imidazo[1,5-a]pyrido[3,2-e]pyrazines, inhibitors of phosphodiesterase 10A.
Goodarzi M; Saeys W; Deeb O; Pieters S; Vander Heyden Y
Chem Biol Drug Des; 2013 Dec; 82(6):685-96. PubMed ID: 23906083
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. A novel QSAR model for prediction of apoptosis-inducing activity of 4-aryl-4-H-chromenes based on support vector machine.
Fatemi MH; Gharaghani S
Bioorg Med Chem; 2007 Dec; 15(24):7746-54. PubMed ID: 17870538
[TBL] [Abstract][Full Text] [Related]
7. A chemometric study of the 5-HT(1A) receptor affinities presented by arylpiperazine compounds.
Weber KC; da Silva AB
Eur J Med Chem; 2008 Feb; 43(2):364-72. PubMed ID: 17562349
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Classification of estrogen receptor-beta ligands on the basis of their binding affinities using support vector machine and linear discriminant analysis.
Luan F; Liu HT; Ma WP; Fan BT
Eur J Med Chem; 2008 Jan; 43(1):43-52. PubMed ID: 17459530
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. PSO-based support vector machine with cuckoo search technique for clinical disease diagnoses.
Liu X; Fu H
ScientificWorldJournal; 2014; 2014():548483. PubMed ID: 24971382
[TBL] [Abstract][Full Text] [Related]
12. QSAR studies of the bioactivity of hepatitis C virus (HCV) NS3/4A protease inhibitors by multiple linear regression (MLR) and support vector machine (SVM).
Qin Z; Wang M; Yan A
Bioorg Med Chem Lett; 2017 Jul; 27(13):2931-2938. PubMed ID: 28501513
[TBL] [Abstract][Full Text] [Related]
13. SMILES-based QSAR model for arylpiperazines as high-affinity 5-HT(1A) receptor ligands using CORAL.
Veselinović AM; Milosavljević JB; Toropov AA; Nikolić GM
Eur J Pharm Sci; 2013 Feb; 48(3):532-41. PubMed ID: 23287365
[TBL] [Abstract][Full Text] [Related]
14. A simple and robust model to predict the inhibitory activity of α-glucosidase inhibitors through combined QSAR modeling and molecular docking techniques.
Izadpanah E; Riahi S; Abbasi-Radmoghaddam Z; Gharaghani S; Mohammadi-Khanaposhtanai M
Mol Divers; 2021 Aug; 25(3):1811-1825. PubMed ID: 33565001
[TBL] [Abstract][Full Text] [Related]
15. Computational methods in determination of pharmacophore models of 5-HT(1A), 5-HT(2A) and 5-HT(7) receptors.
Bielenica A; Kozioł AE; Struga M
Mini Rev Med Chem; 2013 Jun; 13(7):933-51. PubMed ID: 23544602
[TBL] [Abstract][Full Text] [Related]
16. Structure-activity relationships and molecular modeling studies of novel arylpiperazinylalkyl 2-benzoxazolones and 2-benzothiazolones as 5-HT(7) and 5-HT(1A) receptor ligands.
Salerno L; Pittalà V; Modica MN; Siracusa MA; Intagliata S; Cagnotto A; Salmona M; Kurczab R; Bojarski AJ; Romeo G
Eur J Med Chem; 2014 Oct; 85():716-26. PubMed ID: 25128671
[TBL] [Abstract][Full Text] [Related]
17. Support Vector Machine-Based Global Classification Model of the Toxicity of Organic Compounds to
Wu F; Zhang X; Fang Z; Yu X
Molecules; 2023 Mar; 28(6):. PubMed ID: 36985675
[No Abstract] [Full Text] [Related]
18. Risk Assessment of Deep Coal and Gas Outbursts Based on IQPSO-SVM.
Zhu J; Yang L; Wang X; Zheng H; Gu M; Li S; Fang X
Int J Environ Res Public Health; 2022 Oct; 19(19):. PubMed ID: 36232168
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Bicycling Phase Recognition for Lower Limb Amputees Using Support Vector Machine Optimized by Particle Swarm Optimization.
Li X; Liu Z; Gao X; Zhang J
Sensors (Basel); 2020 Nov; 20(22):. PubMed ID: 33203169
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]