338 related articles for article (PubMed ID: 26524489)
21. Structure-activity relationships of the antimalarial agent artemisinin. 6. The development of predictive in vitro potency models using CoMFA and HQSAR methodologies.
Avery MA; Alvim-Gaston M; Rodrigues CR; Barreiro EJ; Cohen FE; Sabnis YA; Woolfrey JR
J Med Chem; 2002 Jan; 45(2):292-303. PubMed ID: 11784134
[TBL] [Abstract][Full Text] [Related]
22. CoMFA and CoMSIA 3D-QSAR analysis of DMDP derivatives as anti-cancer agents.
Srivastava V; Kumar A; Mishra BN; Siddiqi MI
Bioinformation; 2008 Jun; 2(9):384-91. PubMed ID: 18795111
[TBL] [Abstract][Full Text] [Related]
23. Comparative QSAR studies using HQSAR, CoMFA, and CoMSIA methods on cyclic sulfone hydroxyethylamines as BACE1 inhibitors.
Zhang S; Lin Z; Pu Y; Zhang Y; Zhang L; Zuo Z
Comput Biol Chem; 2017 Apr; 67():38-47. PubMed ID: 28043074
[TBL] [Abstract][Full Text] [Related]
24. 3D QSAR studies of 1,3,4-benzotriazepine derivatives as CCK2 receptor antagonists.
Kaur K; Talele TT
J Mol Graph Model; 2008 Nov; 27(4):409-20. PubMed ID: 18774323
[TBL] [Abstract][Full Text] [Related]
25. Combined 2D and 3D-QSAR, molecular modelling and docking studies of pyrazolodiazepinones as novel phosphodiesterase 2 inhibitors.
Bhansali SG; Kulkarni VM
SAR QSAR Environ Res; 2014; 25(11):905-37. PubMed ID: 25401514
[TBL] [Abstract][Full Text] [Related]
26. Modeling study of phenylsulfonylfuroxan derivatives as P-gp inhibitors: a combined approach of CoMFA, CoMSIA and HQSAR.
Gadhe CG; Balupuri A; Balasubramanian PK; Cho SJ
Anticancer Agents Med Chem; 2014; 14(7):1019-30. PubMed ID: 24066798
[TBL] [Abstract][Full Text] [Related]
27. 2D- and 3D-QSAR studies on 54 anti-tumor Rubiaceae-type cyclopeptides.
Yan H; Pan X; Tan N; Fan J; Zeng G; Han H
Eur J Med Chem; 2009 Sep; 44(9):3425-32. PubMed ID: 19303172
[TBL] [Abstract][Full Text] [Related]
28. Computational Analysis of CRTh2 receptor antagonist: A Ligand-based CoMFA and CoMSIA approach.
Babu S; Sohn H; Madhavan T
Comput Biol Chem; 2015 Jun; 56():109-21. PubMed ID: 25935115
[TBL] [Abstract][Full Text] [Related]
29. 3D-QSAR studies on triclosan derivatives as Plasmodium falciparum enoyl acyl carrier reductase inhibitors.
Shah P; Siddiqi MI
SAR QSAR Environ Res; 2010 Jul; 21(5-6):527-45. PubMed ID: 20818586
[TBL] [Abstract][Full Text] [Related]
30. Docking-Based 3D-QSAR Studies for 1,3,4-oxadiazol-2-one Derivatives as FAAH Inhibitors.
Zięba A; Laitinen T; Patel JZ; Poso A; Kaczor AA
Int J Mol Sci; 2021 Jun; 22(11):. PubMed ID: 34204026
[TBL] [Abstract][Full Text] [Related]
31. 3D-QSAR Studies on C24-Monoalkylated Vitamin D3 26,23-Lactones and their C2α-Modified Derivatives with Inhibitory Activity to Vitamin D Receptor.
Wang J; Tang K; Hou Q; Cheng X; Dong L; Liu Y; Liu C
Mol Inform; 2010 Sep; 29(8-9):621-32. PubMed ID: 27463456
[TBL] [Abstract][Full Text] [Related]
32. Combined HQSAR, topomer CoMFA, homology modeling and docking studies on triazole derivatives as SGLT2 inhibitors.
Yu S; Yuan J; Zhang Y; Gao S; Gan Y; Han M; Chen Y; Zhou Q; Shi J
Future Med Chem; 2017 Jun; 9(9):847-858. PubMed ID: 28635308
[TBL] [Abstract][Full Text] [Related]
33. Structural requirements of 3-carboxyl-4(1H)-quinolones as potential antimalarials from 2D and 3D QSAR analysis.
Li J; Li S; Bai C; Liu H; Gramatica P
J Mol Graph Model; 2013 Jul; 44():266-77. PubMed ID: 23911994
[TBL] [Abstract][Full Text] [Related]
34. Docking-based 3D-QSAR (CoMFA, CoMFA-RG, CoMSIA) study on hydroquinoline and thiazinan-4-one derivatives as selective COX-2 inhibitors.
Dowlati Beirami A; Hajimahdi Z; Zarghi A
J Biomol Struct Dyn; 2019 Jul; 37(11):2999-3006. PubMed ID: 30035675
[TBL] [Abstract][Full Text] [Related]
35. Ligand-based CoMFA and CoMSIA studies on chromone derivatives as radical scavengers.
Phosrithong N; Ungwitayatorn J
Bioorg Chem; 2013 Aug; 49():9-15. PubMed ID: 23838011
[TBL] [Abstract][Full Text] [Related]
36. Docking-based CoMFA and CoMSIA studies on naphthyl-substituted diarylpyrimidines as NNRTIs.
Wu HQ; Yao J; He QQ; Chen FE
SAR QSAR Environ Res; 2014; 25(10):761-75. PubMed ID: 25242254
[TBL] [Abstract][Full Text] [Related]
37. On the relationship of anthranilic derivatives structure and the FXR (Farnesoid X receptor) agonist activity.
Kronenberger T; Windshügel B; Wrenger C; Honorio KM; Maltarollo VG
J Biomol Struct Dyn; 2018 Dec; 36(16):4378-4391. PubMed ID: 29237358
[TBL] [Abstract][Full Text] [Related]
38. Molecular Modeling Study for the Design of Novel Peroxisome Proliferator-Activated Receptor Gamma Agonists using 3D-QSAR and Molecular Docking.
Jian Y; He Y; Yang J; Han W; Zhai X; Zhao Y; Li Y
Int J Mol Sci; 2018 Feb; 19(2):. PubMed ID: 29473866
[TBL] [Abstract][Full Text] [Related]
39. 3D-QSAR, molecular dynamics simulations, and molecular docking studies on pyridoaminotropanes and tetrahydroquinazoline as mTOR inhibitors.
Chaube U; Bhatt H
Mol Divers; 2017 Aug; 21(3):741-759. PubMed ID: 28577112
[TBL] [Abstract][Full Text] [Related]
40. Identification of the Structural Features of Guanine Derivatives as MGMT Inhibitors Using 3D-QSAR Modeling Combined with Molecular Docking.
Sun G; Fan T; Zhang N; Ren T; Zhao L; Zhong R
Molecules; 2016 Jun; 21(7):. PubMed ID: 27347909
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
