331 related articles for article (PubMed ID: 27528182)
1. 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]
2. Fragment based group QSAR and molecular dynamics mechanistic studies on arylthioindole derivatives targeting the α-β interfacial site of human tubulin.
Tyagi C; Gupta A; Goyal S; Dhanjal J; Grover A
BMC Genomics; 2014; 15 Suppl 9(Suppl 9):S3. PubMed ID: 25521775
[TBL] [Abstract][Full Text] [Related]
3. Methoxy-substituted 3-formyl-2-phenylindoles inhibit tubulin polymerization.
Gastpar R; Goldbrunner M; Marko D; von Angerer E
J Med Chem; 1998 Dec; 41(25):4965-72. PubMed ID: 9836614
[TBL] [Abstract][Full Text] [Related]
4. Comparative molecular field analysis (coMFA) study of epothilones-tubulin depolymerization inhibitors: pharmacophore development using 3D QSAR methods.
Lee KW; Briggs JM
J Comput Aided Mol Des; 2001 Jan; 15(1):41-55. PubMed ID: 11217918
[TBL] [Abstract][Full Text] [Related]
5. Toward highly potent cancer agents by modulating the C-2 group of the arylthioindole class of tubulin polymerization inhibitors.
La Regina G; Bai R; Rensen WM; Di Cesare E; Coluccia A; Piscitelli F; Famiglini V; Reggio A; Nalli M; Pelliccia S; Da Pozzo E; Costa B; Granata I; Porta A; Maresca B; Soriani A; Iannitto ML; Santoni A; Li J; Miranda Cona M; Chen F; Ni Y; Brancale A; Dondio G; Vultaggio S; Varasi M; Mercurio C; Martini C; Hamel E; Lavia P; Novellino E; Silvestri R
J Med Chem; 2013 Jan; 56(1):123-49. PubMed ID: 23214452
[TBL] [Abstract][Full Text] [Related]
6. Inhibition of tubulin polymerization by 5,6-dihydroindolo[2,1-alpha]isoquinoline derivatives.
Goldbrunner M; Loidl G; Polossek T; Mannschreck A; von Angerer E
J Med Chem; 1997 Oct; 40(22):3524-33. PubMed ID: 9357519
[TBL] [Abstract][Full Text] [Related]
7. Antitumor agents. 213. Modeling of epipodophyllotoxin derivatives using variable selection k nearest neighbor QSAR method.
Xiao Z; Xiao YD; Feng J; Golbraikh A; Tropsha A; Lee KH
J Med Chem; 2002 May; 45(11):2294-309. PubMed ID: 12014968
[TBL] [Abstract][Full Text] [Related]
8. 3D-QSAR-Based Pharmacophore Modeling, Virtual Screening, and Molecular Docking Studies for Identification of Tubulin Inhibitors with Potential Anticancer Activity.
Mirzaei S; Ghodsi R; Hadizadeh F; Sahebkar A
Biomed Res Int; 2021; 2021():6480804. PubMed ID: 34485522
[TBL] [Abstract][Full Text] [Related]
9. Synthesis and biological evaluation of 2-indolyloxazolines as a new class of tubulin polymerization inhibitors. Discovery of A-289099 as an orally active antitumor agent.
Li Q; Woods KW; Claiborne A; Gwaltney SL; Barr KJ; Liu G; Gehrke L; Credo RB; Hui YH; Lee J; Warner RB; Kovar P; Nukkala MA; Zielinski NA; Tahir SK; Fitzgerald M; Kim KH; Marsh K; Frost D; Ng SC; Rosenberg S; Sham HL
Bioorg Med Chem Lett; 2002 Feb; 12(3):465-9. PubMed ID: 11814821
[TBL] [Abstract][Full Text] [Related]
10. Quantitative structure-activity relationships of imidazole-containing farnesyltransferase inhibitors using different chemometric methods.
Shayanfar A; Ghasemi S; Soltani S; Asadpour-Zeynali K; Doerksen RJ; Jouyban A
Med Chem; 2013 May; 9(3):434-48. PubMed ID: 22920090
[TBL] [Abstract][Full Text] [Related]
11. New imidazoquinoxaline derivatives: Synthesis, biological evaluation on melanoma, effect on tubulin polymerization and structure-activity relationships.
Zghaib Z; Guichou JF; Vappiani J; Bec N; Hadj-Kaddour K; Vincent LA; Paniagua-Gayraud S; Larroque C; Moarbess G; Cuq P; Kassab I; Deleuze-Masquéfa C; Diab-Assaf M; Bonnet PA
Bioorg Med Chem; 2016 Jun; 24(11):2433-2440. PubMed ID: 27094151
[TBL] [Abstract][Full Text] [Related]
12. Structure-Based Pharmacophore Design and Virtual Screening for Novel Tubulin Inhibitors with Potential Anticancer Activity.
Zhou Y; Di B; Niu MM
Molecules; 2019 Sep; 24(17):. PubMed ID: 31480625
[TBL] [Abstract][Full Text] [Related]
13. Computational and molecular modeling evaluation of the structural basis for tubulin polymerization inhibition by colchicine site agents.
ter Haar E; Rosenkranz HS; Hamel E; Day BW
Bioorg Med Chem; 1996 Oct; 4(10):1659-71. PubMed ID: 8931935
[TBL] [Abstract][Full Text] [Related]
14. Development of tubulin polymerization inhibitors as anticancer agents.
Peerzada MN; Dar MS; Verma S
Expert Opin Ther Pat; 2023 Nov; 33(11):797-820. PubMed ID: 38054831
[TBL] [Abstract][Full Text] [Related]
15. Quantitative structure-antitumor activity relationships of camptothecin analogues: cluster analysis and genetic algorithm-based studies.
Fan Y; Shi LM; Kohn KW; Pommier Y; Weinstein JN
J Med Chem; 2001 Sep; 44(20):3254-63. PubMed ID: 11563924
[TBL] [Abstract][Full Text] [Related]
16. Hybrid-genetic algorithm based descriptor optimization and QSAR models for predicting the biological activity of Tipranavir analogs for HIV protease inhibition.
Reddy AS; Kumar S; Garg R
J Mol Graph Model; 2010 Jun; 28(8):852-62. PubMed ID: 20399695
[TBL] [Abstract][Full Text] [Related]
17. QSAR and Classification Study on Prediction of Acute Oral Toxicity of
Fan T; Sun G; Zhao L; Cui X; Zhong R
Int J Mol Sci; 2018 Oct; 19(10):. PubMed ID: 30282923
[TBL] [Abstract][Full Text] [Related]
18. Enhancement of binary QSAR analysis by a GA-based variable selection method.
Gao H; Lajiness MS; Van Drie J
J Mol Graph Model; 2002 Jan; 20(4):259-68. PubMed ID: 11858634
[TBL] [Abstract][Full Text] [Related]
19. One-pot synthesis of benzo[b]furan and indole inhibitors of tubulin polymerization.
Flynn BL; Hamel E; Jung MK
J Med Chem; 2002 Jun; 45(12):2670-3. PubMed ID: 12036378
[TBL] [Abstract][Full Text] [Related]
20. Application of a genetic algorithm and an artificial neural network for global prediction of the toxicity of phenols to
Habibi-Yangjeh A; Danandeh-Jenagharad M
Monatsh Chem; 2009; 140(11):1279-1288. PubMed ID: 26166848
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
