These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
184 related articles for article (PubMed ID: 38555462)
1. QSAR analysis of VEGFR-2 inhibitors based on machine learning, Topomer CoMFA and molecule docking. Ding H; Xing F; Zou L; Zhao L BMC Chem; 2024 Mar; 18(1):59. PubMed ID: 38555462 [TBL] [Abstract][Full Text] [Related]
2. 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]
3. Discovery of ANO1 Inhibitors based on Machine learning and molecule docking simulation approaches. Zhong J; Xuan W; Lu S; Cui S; Zhou Y; Tang M; Qu X; Lu W; Huo H; Zhang C; Zhang N; Niu B Eur J Pharm Sci; 2023 May; 184():106408. PubMed ID: 36842513 [TBL] [Abstract][Full Text] [Related]
4. Insight into the structural requirement of aryl sulphonamide based gelatinases (MMP-2 and MMP-9) inhibitors - Part I: 2D-QSAR, 3D-QSAR topomer CoMFA and Naïve Bayes studies - First report of 3D-QSAR Topomer CoMFA analysis for MMP-9 inhibitors and jointly inhibitors of gelatinases together. Das S; Amin SA; Jha T SAR QSAR Environ Res; 2021 Aug; 32(8):655-687. PubMed ID: 34355614 [TBL] [Abstract][Full Text] [Related]
5. QSAR analysis of 3-pyrimidin-4-yl-oxazolidin-2-one derivatives isocitrate dehydrogenase inhibitors using Topomer CoMFA and HQSAR methods. Tong JB; Bian S; Zhang X; Luo D Mol Divers; 2022 Apr; 26(2):1017-1037. PubMed ID: 33974175 [TBL] [Abstract][Full Text] [Related]
6. Molecular modeling studies of [6,6,5] Tricyclic Fused Oxazolidinones as FXa inhibitors using 3D-QSAR, Topomer CoMFA, molecular docking and molecular dynamics simulations. Xu C; Ren Y Bioorg Med Chem Lett; 2015 Oct; 25(20):4522-8. PubMed ID: 26343829 [TBL] [Abstract][Full Text] [Related]
7. Design Some New Type-I c-met Inhibitors Based on Molecular Docking and Topomer CoMFA Research. Tian Y; Shen Y; Zhang X; Ye L; Li Z; Liu Z; Zhang J; Wu S Mol Inform; 2014 Aug; 33(8):536-43. PubMed ID: 27486039 [TBL] [Abstract][Full Text] [Related]
8. Quionolone carboxylic acid derivatives as HIV-1 integrase inhibitors: Docking-based HQSAR and topomer CoMFA analyses. Tong J; Zhan P; Wang XS; Wu Y J Chemom; 2017 Dec; 31(12):. PubMed ID: 29606793 [TBL] [Abstract][Full Text] [Related]
9. CoMFA, CoMSIA, Topomer CoMFA, HQSAR, molecular docking and molecular dynamics simulations study of triazine morpholino derivatives as mTOR inhibitors for the treatment of breast cancer. Chhatbar DM; Chaube UJ; Vyas VK; Bhatt HG Comput Biol Chem; 2019 Jun; 80():351-363. PubMed ID: 31085426 [TBL] [Abstract][Full Text] [Related]
10. Reliable structural information for rational design of benzoxazole type potential cholesteryl ester transfer protein (CETP) inhibitors through multiple validated modeling techniques. Amin SA; Adhikari N; Gayen S; Jha T J Biomol Struct Dyn; 2019 Oct; 37(17):4528-4541. PubMed ID: 30488780 [TBL] [Abstract][Full Text] [Related]
11. Combined 3D-QSAR modeling and molecular docking study on 1,4-dihydroindeno[1,2-c]pyrazoles as VEGFR-2 kinase inhibitors. Zeng H; Zhang H J Mol Graph Model; 2010 Aug; 29(1):54-71. PubMed ID: 20471293 [TBL] [Abstract][Full Text] [Related]
12. Structure-based QSAR, molecule design and bioassays of protease-activated receptor 1 inhibitors. Zhong W; Liu P; Zhang Q; Li D; Lin J J Biomol Struct Dyn; 2017 Oct; 35(13):2853-2867. PubMed ID: 27809674 [TBL] [Abstract][Full Text] [Related]
13. Discovery of MAO-B Inhibitor with Machine Learning, Topomer CoMFA, Molecular Docking and Multi-Spectroscopy Approaches. Zheng L; Qin X; Wang J; Zhang M; An Q; Xu J; Qu X; Cao X; Niu B Biomolecules; 2022 Oct; 12(10):. PubMed ID: 36291679 [TBL] [Abstract][Full Text] [Related]
14. QSAR and molecular docking studies on oxindole derivatives as VEGFR-2 tyrosine kinase inhibitors. Kang CM; Liu DQ; Zhao XH; Dai YJ; Cheng JG; Lv YT J Recept Signal Transduct Res; 2016; 36(1):103-9. PubMed ID: 26416217 [TBL] [Abstract][Full Text] [Related]
15. Comprehensive 3D-QSAR and binding mode of BACE-1 inhibitors using R-group search and molecular docking. Huang D; Liu Y; Shi B; Li Y; Wang G; Liang G J Mol Graph Model; 2013 Sep; 45():65-83. PubMed ID: 24004830 [TBL] [Abstract][Full Text] [Related]
16. Improved 3D-QSAR Prediction by Multiple Conformational Alignments and Molecular Docking Studies to Design and Discover HIV-I Protease Inhibitors. Patel PK; Bhatt HG Curr HIV Res; 2021; 19(2):154-171. PubMed ID: 33213349 [TBL] [Abstract][Full Text] [Related]
17. Comparative molecular field analysis (CoMFA), topomer CoMFA, and hologram QSAR studies on a series of novel HIV-1 protease inhibitors. Heidari A; Fatemi MH Chem Biol Drug Des; 2017 Jun; 89(6):918-931. PubMed ID: 27933723 [TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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] [Next] [New Search]