Molecular modeling studies of JNK3 inhibitors using QSAR and docking-Reference-Cited by-同舟云学术

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Molecular modeling studies of JNK3 inhibitors using QSAR and docking

Published:2013-10-23 Issue:5 Volume:23 Page:2456-2475
ISSN:1054-2523
Container-title:Medicinal Chemistry Research
language:en
Short-container-title:Med Chem Res

Author:

Wu Xiang-Xiang,Dai Da-Shun,Zhu Xin,Li Xiao-Fei,Yuan Juan,Wu Xue-Fen,Miao Ming-San,Zeng Hua-Hui,Zhao Chun-Lei

Publisher

Springer Science and Business Media LLC

Subject

Organic Chemistry,General Pharmacology, Toxicology and Pharmaceutics

Link

http://link.springer.com/content/pdf/10.1007/s00044-013-0782-2.pdf

Reference34 articles.

1. Bogoyevitch MA, Arthur PG (2008) Inhibitors of c-Jun N-terminal kinases: JuNK no more? Biochim Biophys Acta 1784:76–93

2. Bogoyevitch MA, Ngoei KR, Zhao TT, Yeap YY, Ng DC (2010) c-Jun N-terminal kinase (JNK) signaling: recent advances and challenges. Biochim Biophys Acta 1804:463–475

3. Borsello T, Forloni G (2007) JNK signalling: a possible target to prevent neurodegeneration. Curr Pharm Des 13:1875–1886

4. Bowers S, Truong AP, Neitz RJ, Neitzel M, Probst GD, Hom RK, Peterson B, Galemmo RA Jr, Konradi AW, Sham HL, Toth G, Pan H, Yao N, Artis DR, Brigham EF, Quinn KP, Sauer JM, Powell K, Ruslim L, Ren Z, Bard F, Yednock TA, Griswold-Prenner I (2011a) Design and synthesis of a novel, orally active, brain penetrant, tri-substituted thiophene based JNK inhibitor. Bioorg Med Chem Lett 21:1838–1843

5. Bowers S, Truong AP, Jeffrey Neitz R, Hom RK, Sealy JM, Probst GD, Quincy D, Peterson B, Chan W, Galemmo RA Jr, Konradi AW, Sham HL, Toth G, Pan H, Lin M, Yao N, Artis DR, Zhang H, Chen L, Dryer M, Samant B, Zmolek W, Wong K, Lorentzen C, Goldbach E, Tonn G, Quinn KP, Sauer JM, Wright S, Powell K, Ruslim L, Ren Z, Bard F, Yednock TA, Griswold-Prenner I (2011b) Design and synthesis of brain penetrant selective JNK inhibitors with improved pharmacokinetic properties for the prevention of neurodegeneration. Bioorg Med Chem Lett 21:5521–5527

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1. Piceatannol improved cerebral blood flow and attenuated JNK3 and mitochondrial apoptotic pathway in a global ischemic model to produce neuroprotection;Naunyn-Schmiedeberg's Archives of Pharmacology;2023-07-20

2. Identification and neuroprotective evaluation of a potential c-Jun N-terminal kinase 3 inhibitor through structure-based virtual screening and in-vitro assay;Journal of Computer-Aided Molecular Design;2020-02-10

3. On the in silico and in vitro anticancer activity of sulfonamide chalcones: potential JNKK3 inhibitors;New Journal of Chemistry;2020

4. Discovery of new JNK3 inhibitory chemotypes via QSAR-Guided selection of docking-based pharmacophores and comparison with other structure-based pharmacophore modeling methods;Journal of Molecular Graphics and Modelling;2019-09

5. A nonparametric weighted feature extraction-based method for c-Jun N-terminal kinase-3 inhibitor prediction;Journal of Molecular Graphics and Modelling;2019-07

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