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For: Mize CD, Abbott AM, Gacasan SB, Parrill AL, Baker DL. Ligand-based autotaxin pharmacophore models reflect structure-based docking results. J Mol Graph Model 2011;31:76-86. [PMID: 21967734 DOI: 10.1016/j.jmgm.2011.09.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2011] [Revised: 09/03/2011] [Accepted: 09/12/2011] [Indexed: 10/17/2022]
Number Cited by Other Article(s)
1
Banerjee S, Norman DD, Lee SC, Parrill AL, Pham TCT, Baker DL, Tigyi GG, Miller DD. Highly Potent Non-Carboxylic Acid Autotaxin Inhibitors Reduce Melanoma Metastasis and Chemotherapeutic Resistance of Breast Cancer Stem Cells. J Med Chem 2017;60:1309-1324. [PMID: 28112925 PMCID: PMC7938327 DOI: 10.1021/acs.jmedchem.6b01270] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
2
Discovery and synthetic optimization of a novel scaffold for hydrophobic tunnel-targeted autotaxin inhibition. Bioorg Med Chem 2016;24:4660-4674. [PMID: 27544588 DOI: 10.1016/j.bmc.2016.08.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2016] [Revised: 08/01/2016] [Accepted: 08/03/2016] [Indexed: 12/11/2022]
3
Autotaxin in the crosshairs: taking aim at cancer and other inflammatory conditions. FEBS Lett 2014;588:2712-27. [PMID: 24560789 DOI: 10.1016/j.febslet.2014.02.009] [Citation(s) in RCA: 94] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2014] [Revised: 02/11/2014] [Accepted: 02/12/2014] [Indexed: 02/07/2023]
4
Development of lysophosphatidic acid pathway modulators as therapies for fibrosis. Future Med Chem 2013;5:1935-52. [DOI: 10.4155/fmc.13.154] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]  Open
5
Lewis DR, Kholodovych V, Tomasini MD, Abdelhamid D, Petersen LK, Welsh WJ, Uhrich KE, Moghe PV. In silico design of anti-atherogenic biomaterials. Biomaterials 2013;34:7950-9. [PMID: 23891521 DOI: 10.1016/j.biomaterials.2013.07.011] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2013] [Accepted: 07/01/2013] [Indexed: 01/10/2023]
6
Fells JI, Lee SC, Fujiwara Y, Norman DD, Lim KG, Tsukahara R, Liu J, Patil R, Miller DD, Kirby RJ, Nelson S, Seibel W, Papoian R, Parrill AL, Baker DL, Bittman R, Tigyi G. Hits of a high-throughput screen identify the hydrophobic pocket of autotaxin/lysophospholipase D as an inhibitory surface. Mol Pharmacol 2013;84:415-24. [PMID: 23793291 DOI: 10.1124/mol.113.087080] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]  Open
7
Norman DD, Ibezim A, Scott WE, White S, Parrill AL, Baker DL. Autotaxin inhibition: development and application of computational tools to identify site-selective lead compounds. Bioorg Med Chem 2013;21:5548-60. [PMID: 23816044 DOI: 10.1016/j.bmc.2013.05.061] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2012] [Revised: 05/20/2013] [Accepted: 05/28/2013] [Indexed: 01/29/2023]
8
Barbayianni E, Magrioti V, Moutevelis-Minakakis P, Kokotos G. Autotaxin inhibitors: a patent review. Expert Opin Ther Pat 2013;23:1123-32. [PMID: 23641951 DOI: 10.1517/13543776.2013.796364] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
9
Li Z, Cai YH, Cheng YK, Lu X, Shao YX, Li X, Liu M, Liu P, Luo HB. Identification of Novel Phosphodiesterase-4D Inhibitors Prescreened by Molecular Dynamics-Augmented Modeling and Validated by Bioassay. J Chem Inf Model 2013;53:972-81. [DOI: 10.1021/ci400063s] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
10
Di-wu L, Li LL, Wang WJ, Xie HZ, Yang J, Zhang CH, Huang Q, Zhong L, Feng S, Yang SY. Identification of CK2 inhibitors with new scaffolds by a hybrid virtual screening approach based on Bayesian model; pharmacophore hypothesis and molecular docking. J Mol Graph Model 2012;36:42-7. [DOI: 10.1016/j.jmgm.2012.03.004] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2011] [Revised: 03/08/2012] [Accepted: 03/17/2012] [Indexed: 10/28/2022]
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