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  Targeting the NF-κB/IκBα complex via fragment-based E-Pharmacophore virtual screening and binary QSAR models

Kanan, T., Kanan, D., Erol, I., Yazdi, S., Stein, M., & Durdagi, S. (2019). Targeting the NF-κB/IκBα complex via fragment-based E-Pharmacophore virtual screening and binary QSAR models. Journal of Molecular Graphics and Modelling, 86, 264-277. doi:10.1016/j.jmgm.2018.09.014.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0002-81A9-D Version Permalink: http://hdl.handle.net/21.11116/0000-0003-522B-1
Genre: Journal Article

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kanan_2019_ams.pdf (Postprint), 5MB
 
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 Creators:
Kanan, Tarek1, 2, Author
Kanan, Duaa1, 2, Author
Erol, Ismail2, 3, Author
Yazdi, Samira4, Author              
Stein, Matthias4, Author              
Durdagi, Serdar2, 5, Author
Affiliations:
1School of Medicine, Bahcesehir University, Istanbul, Turkey, ou_persistent22              
2Computational Biology and Molecular Simulations Laboratory, Department of Biophysics, School of Medicine, Bahcesehir University, Istanbul, Turkey, ou_persistent22              
3Department of Chemistry, Gebze Technical University, Kocaeli, Turkey, ou_persistent22              
4Molecular Simulations and Design, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738148              
5Neuroscience Program, Institute of Health Sciences, Bahcesehir University, Istanbul, Turkey, ou_persistent22              

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Language(s): eng - English
 Dates: 2019
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1016/j.jmgm.2018.09.014
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Title: Journal of Molecular Graphics and Modelling
Source Genre: Journal
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Publ. Info: Elsevier Inc.
Pages: - Volume / Issue: 86 Sequence Number: - Start / End Page: 264 - 277 Identifier: -