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- Volume 20, Issue 5, 2019
Current Drug Targets - Volume 20, Issue 5, 2019
Volume 20, Issue 5, 2019
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Recent Advances in Computational Methods for Identifying Anticancer Peptides
Authors: Pengmian Feng and Zhenyi WangAnticancer peptide (ACP) is a kind of small peptides that can kill cancer cells without damaging normal cells. In recent years, ACP has been pre-clinically used for cancer treatment. Therefore, accurate identification of ACPs will promote their clinical applications. In contrast to labor-intensive experimental techniques, a series of computational methods have been proposed for identifying ACPs. In this review, we briefly summar Read More
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Application of Machine Learning Approaches for the Design and Study of Anticancer Drugs
Authors: Yan Hu, Yi Lu, Shuo Wang, Mengying Zhang, Xiaosheng Qu and Bing NiuBackground: Globally the number of cancer patients and deaths are continuing to increase yearly, and cancer has, therefore, become one of the world's highest causes of morbidity and mortality. In recent years, the study of anticancer drugs has become one of the most popular medical topics. Objective: In this review, in order to study the application of machine learning in predicting anticancer drugs activity, some machi Read More
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Molecular Docking: Challenges, Advances and its Use in Drug Discovery Perspective
Authors: Surovi Saikia and Manobjyoti BordoloiMolecular docking is a process through which small molecules are docked into the macromolecular structures for scoring its complementary values at the binding sites. It is a vibrant research area with dynamic utility in structure-based drug-designing, lead optimization, biochemical pathway and for drug designing being the most attractive tools. Two pillars for a successful docking experiment are correct pose and affinity predictio Read More
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Established and In-trial GPCR Families in Clinical Trials: A Review for Target Selection
Authors: Surovi Saikia, Manobjyoti Bordoloi and Rajeev SarmahThe largest family of drug targets in clinical trials constitute of GPCRs (G-protein coupled receptors) which accounts for about 34% of FDA (Food and Drug Administration) approved drugs acting on 108 unique GPCRs. Factors such as readily identifiable conserved motif in structures, 127 orphan GPCRs despite various de-orphaning techniques, directed functional antibodies for validation as drug targets, etc. has widened their ther Read More
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A Survey for Predicting Enzyme Family Classes Using Machine Learning Methods
Authors: Jiu-Xin Tan, Hao Lv, Fang Wang, Fu-Ying Dao, Wei Chen and Hui DingEnzymes are proteins that act as biological catalysts to speed up cellular biochemical processes. According to their main Enzyme Commission (EC) numbers, enzymes are divided into six categories: EC-1: oxidoreductase; EC-2: transferase; EC-3: hydrolase; EC-4: lyase; EC-5: isomerase and EC-6: synthetase. Different enzymes have different biological functions and acting objects. Therefore, knowing which family an enzyme belong Read More
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Understanding Membrane Protein Drug Targets in Computational Perspective
Authors: Jianting Gong, Yongbing Chen, Feng Pu, Pingping Sun, Fei He, Li Zhang, Yanwen Li, Zhiqiang Ma and Han WangMembrane proteins play crucial physiological roles in vivo and are the major category of drug targets for pharmaceuticals. The research on membrane protein is a significant part in the drug discovery. The biological process is a cycled network, and the membrane protein is a vital hub in the network since most drugs achieve the therapeutic effect via interacting with the membrane protein. In this review, typical membran Read More
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Towards Computational Models of Identifying Protein Ubiquitination Sites
Authors: Lidong Wang and Ruijun ZhangUbiquitination is an important post-translational modification (PTM) process for the regulation of protein functions, which is associated with cancer, cardiovascular and other diseases. Recent initiatives have focused on the detection of potential ubiquitination sites with the aid of physicochemical test approaches in conjunction with the application of computational methods. The identification of ubiquitination sites using laboratory t Read More
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Prediction of Ion Channels and their Types from Protein Sequences: Comprehensive Review and Comparative Assessment
Authors: Jianzhao Gao, Zhen Miao, Zhaopeng Zhang, Hong Wei and Lukasz KurganBackground: Ion channels are a large and growing protein family. Many of them are associated with diseases, and consequently, they are targets for over 700 drugs. Discovery of new ion channels is facilitated with computational methods that predict ion channels and their types from protein sequences. However, these methods were never comprehensively compared and evaluated. Objective: We offer first-of-its-kind compre Read More
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In Silico Design and Synthesis of Targeted Curcumin Derivatives as Xanthine Oxidase Inhibitors
Authors: Neelam Malik, Priyanka Dhiman and Anurag KhatkarBackground: Curcumin is a well-known pharmacophore and some of its derivatives are shown to target xanthine oxidase (XO) to alleviate disorders caused by the excess production of uric acid. Objective: Curcumin based derivatives were designed, synthesized and evaluated for their antioxidant and xanthine oxidase inhibitory potential. Method: In this report, we designed and synthesized two series of curcumin derivatives modifi Read More
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Volumes & issues
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Volume 26 (2025)
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Volume 25 (2024)
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Volume 24 (2023)
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Volume 23 (2022)
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Volume 22 (2021)
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Volume 21 (2020)
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Volume 20 (2019)
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Volume 19 (2018)
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Volume 18 (2017)
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Volume 17 (2016)
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Volume 16 (2015)
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Volume 15 (2014)
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Volume 14 (2013)
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Volume 13 (2012)
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Volume 12 (2011)
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Volume 11 (2010)
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Volume 10 (2009)
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Volume 9 (2008)
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Volume 8 (2007)
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Volume 7 (2006)
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Volume 6 (2005)
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Volume 5 (2004)
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Volume 4 (2003)
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Volume 3 (2002)
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Volume 2 (2001)
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Volume 1 (2000)
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