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- Volume 17, Issue 10, 2014
Combinatorial Chemistry & High Throughput Screening - Volume 17, Issue 10, 2014
Volume 17, Issue 10, 2014
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The Application of Connected QSRR and QSAR Strategies to Predict the Physicochemical Interaction of Acridinone Derivatives with DNA
Acridinone derivatives as imidazoacridinones and triazoloacridinones are the new potent antitumor agents characterized by different mechanisms of action related to their ability to interact with DNA. The analysis undertaken in this study involves searching of QSAR (Quantitative Structure-Activity Relationship) and QSRR (Quantitative Structure- Retention Relationship) models, which would allow to predict the biological activi Read More
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Rapid Screening of Different Types of Antitumor Compound Groups from Traditional Chinese Medicine by Hollow Fiber Cell Fishing with High Performance Liquid Chromatography
Authors: Li-Sha Zhang, Xuan Chen, Shuang Hu, Xia Sheng and Xiao-Hong BaiA novel hollow fiber cell fishing with high performance liquid chromatography (HFCF-HPLC) was extended and used to screen flavonoid and anthraquinone active compound groups simultaneously from traditional Chinese medicines (TCMs). In this study, three cells (MCF-7, SGC7901, and MADB-106) were seeded on the inner wall of the hollow fiber employed to screen bioactive components from TCM water decoction. The Read More
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Design Novel Inhibitors for Treating Cancer by Targeting Cdc25B Catalytic Domain with De Novo Design
Authors: Jing-Wei Wu, Huan Zhang, Yu-Qing Duan, Wei-Li Dong, Xian-Chao Cheng, Shu-Qing Wang and Run-Ling WangThe cell division cycle 25 (Cdc25) family of proteins is a group of highly conserved dual specificity phosphatases that regulate cyclin-dependent kinases and represent a group of attractive drug targets for anticancer therapies. To develop novel Cdc25B inhibitors, the ZINC database was screened for finding optimal fragments with de novo design approaches. As a result, top 11 compounds with higher binding affinities in fl Read More
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Ligand-Based Pharmacophore Modeling, Atom-Based 3D-QSAR and Molecular Docking Studies on Substituted Thiazoles and Thiophenes as Polo-Like Kinase 1 (Plk1) Inhibitors
More LessPolo-like kinase 1 (Plk1) is a decisive enzyme with its multifunctional activity in cell cycle progression especially mitosis. The over expression of Plk1 in broad spectrum of cancer types turns into a promising therapeutic target against cancer. In the present study, several ligand based pharmacophore models and atom based 3D-QSAR models have been generated using a series of 49 thiazole and thiophene derivatives Read More
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In Vitro High Throughput Phage Display Selection of Ovarian Cancer Avid Phage Clones for Near-Infrared Optical Imaging
Authors: Mette Soendergaard, Jessica R. Newton-Northup and Susan L. DeutscherOvarian cancer is among the leading causes of cancer deaths in women, and is the most fatal gynecological malignancy. Poor outcomes of the disease are a direct result of inadequate detection and diagnostic methods, which may be overcome by the development of novel efficacious screening modalities. However, the advancement of such technologies is often time-consuming and costly. To overcome this hurdle, our Read More
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Discovery of Novel NAMPT Inhibitors Based on Pharmacophore Modeling and Virtual Screening Techniques
Authors: Qianying Yi, Lu Zhou, Xin Shao, Taijin Wang, Guangkai Bao, Huanhuan Shi, Suwen Zhou, Xiaoli Li and Yahui TianNicotinamide phosphoribosyltransferase (NAMPT), an enzyme taking part in main NAD biosynthetic pathway, is an attractive target for anticancer therapy. The purpose of our study is to find novel NAMPT inhibitors based on in silico drug discovery means including the generation of 3D-QSAR models, and virtual screening techniques. Firstly, ten pharmacophore models were generated by Catalyst/HypoGen algorithm. Hypo1 wit Read More
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Molecular Structural Characteristics Important in Drug-HSA Binding
Authors: Snezana Agatonovic-Kustrin, David W. Morton, Lisa Truong and Slavica RazicA non-linear quantitative structure activity relationship (QSAR) model based on 350 drug molecules was developed as a predictive tool for drug protein binding, by correlating experimentally measured protein binding values with ten calculated molecular descriptors using a radial basis function (RBF) neural network. The developed model has a statistically significant overall correlation value (r > 0.73), a high efficiency ra Read More
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Molecular Docking and Dynamics Simulation Study on the Influence of Zn2+ on the Binding Modes of Aggrecanase with its Inhibitors
Authors: Panneer S.R. Suganya, Sukesh kalva and Lilly M. SaleenaZinc plays a vital role in structural organization, regulation of function and stabilization of the folded protein, which ultimately activates or inactivates the binding sites of the protein. Its transition makes a major change in the protein and its binding affinity. The ligand binding aggrecanases can be influenced by Zn2+ ions; therefore the study focuses on checking the binding mode in the presence and absence Read More
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Volumes & issues
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Volume 28 (2025)
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Volume 27 (2024)
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Volume 26 (2023)
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Volume 25 (2022)
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Volume 24 (2021)
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Volume 23 (2020)
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Volume 22 (2019)
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Volume 21 (2018)
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Volume 20 (2017)
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Volume 19 (2016)
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Volume 18 (2015)
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Volume 17 (2014)
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Volume 16 (2013)
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Volume 15 (2012)
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Volume 14 (2011)
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Volume 13 (2010)
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Volume 12 (2009)
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Volume 11 (2008)
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Volume 10 (2007)
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Volume 9 (2006)
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Volume 8 (2005)
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Volume 7 (2004)
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Volume 6 (2003)
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Volume 5 (2002)
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Volume 4 (2001)
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Volume 3 (2000)
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Label-Free Detection of Biomolecular Interactions Using BioLayer Interferometry for Kinetic Characterization
Authors: Joy Concepcion, Krista Witte, Charles Wartchow, Sae Choo, Danfeng Yao, Henrik Persson, Jing Wei, Pu Li, Bettina Heidecker, Weilei Ma, Ram Varma, Lian-She Zhao, Donald Perillat, Greg Carricato, Michael Recknor, Kevin Du, Huddee Ho, Tim Ellis, Juan Gamez, Michael Howes, Janette Phi-Wilson, Scott Lockard, Robert Zuk and Hong Tan
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