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- Volume 20, Issue 10, 2017
Combinatorial Chemistry & High Throughput Screening - Volume 20, Issue 10, 2017
Volume 20, Issue 10, 2017
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A Review of Computational Drug Repositioning Approaches
Authors: Guohua Huang, Jincheng Li, Peng Wang and Weibiao LiAims & Scope: Computational drug repositioning emerges as a new idea of drug discovery and development. Contrary to conventional routines, computational drug repositioning encompasses low risk and high safety. Some successful cases demonstrated its advantage. Therefore, a large number of computational drug repositioning approaches have been developed over the past decades. We summarized briefly these met Read More
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Predicting Hepatotoxicity of Drug Metabolites Via an Ensemble Approach Based on Support Vector Machine
Authors: Yin Lu, Lili Liu, Dong Lu, Yudong Cai, Mingyue Zheng, Xiaomin Luo, Hualiang Jiang and Kaixian ChenObjective: Drug-induced liver injury (DILI) is a major cause of drug withdrawal. The chemical properties of the drug, especially drug metabolites, play key roles in DILI. Our goal is to construct a QSAR model to predict drug hepatotoxicity based on drug metabolites. Materials and Methods: 64 hepatotoxic drug metabolites and 3,339 non-hepatotoxic drug metabolites were gathered from MDL Metabolite Database. Considering t Read More
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Identifying Candidates for Breast Cancer using Interactions of Chemicals and Proteins
Authors: Jing Lu, Kangle Shang and Yi BiAim and Objective: Breast cancer is one of the major causes of cancer deaths in women worldwide. Therefore, it is necessary to discover novel drugs or design effective treatments for this disease. However, the research and development of drugs by using only experimental methods is always time-consuming and expensive. With the development of computer science, some advanced computational methods can make f Read More
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Analysis of Key GO Terms and KEGG Pathways Associated with Carcinogenic Chemicals
Authors: Jing Ding and Ying ZhangAim and Objective: Cancer is one of the serious diseases that cause several human deaths every year. Up to now, we have spent lots of time and money to investigate this disease, thereby designing effective treatments. Previous studies mainly focus on studying genetic background of different subtypes of cancer and neglect another important factor, i.e. environmental factor. Carcinogenic chemical is one of the types Read More
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Epigallocatechin-3-gallate(EGCG): Mechanisms and the Combined Applications
Authors: Xuekun Song, Juan Du, Wenyuan Zhao and Zheng GuoBackground: Epigallocatechin-3-gallate (EGCG) is an important pharmacological component in tea, and various effects, including anti-tumor, anti-inflammation, anti-aging, antiobesity, anti-diabetes, cardiovascular disease prevention and protection, immunoregulation, and neuroprotection, of this component have been confirmed. However, EGCG has been rarely used in clinical applications because of its poor stability and low b Read More
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Computational Method for Distinguishing Lysine Acetylation, Sumoylation, and Ubiquitination using the Random Forest Algorithm with a Feature Selection Procedure
Authors: ShaoPeng Wang, JiaRui Li, Fei Yuan, Lei Chen, Tao Huang and Yu-Dong CaiBackground: The post-translational modifications (PTMs) on the side chains of conserved lysine (Lys) residues play important roles in myriad cellular processes, such as modification of the structures and activities of histones, protein degradation and turnover, and the regulation of DNA damage responses. To date, several computational methods have been developed to identify different PTMs on Lys residues. However, most of t Read More
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Dysregulated Pathway Identification of Alzheimer's Disease Based on Internal Correlation Analysis of Genes and Pathways
Authors: Wei Kong, Xiaoyang Mou, Benteng Di, Jin Deng, Ruxing Zhong and Shuaiqun WangBackground: Dysregulated pathway identification is an important task which can gain insight into the underlying biological processes of disease. Current pathway-identification methods focus on a set of co-expression genes and single pathways and ignore the correlation between genes and pathways. Objective: This study takes into account the internal correlations not only between genes but also pathways to explore the un 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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