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- Volume 18, Issue 12, 2018
Current Topics in Medicinal Chemistry - Volume 18, Issue 12, 2018
Volume 18, Issue 12, 2018
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Network Pharmacology: Exploring the Resources and Methodologies
Authors: Junaid Muhammad, Abbas Khan, Arif Ali, Li Fang, Wang Yanjing, Qin Xu and Dong-Qing WeiMulti-target and combinatorial therapies have been focused for the past several decades. These approaches achieved considerable therapeutic efficacy by modulating the activities of the targets in complex diseases such as HIV-1 infection, cancer and diabetes disease. Most of the diseases cannot be treated efficiently in terms of single gene target, because it involves the cessation of the coordinated function of distinct gene Read More
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Discovering Synergistic Drug Combination from a Computational Perspective
Authors: Pingjian Ding, Jiawei Luo, Cheng Liang, Qiu Xiao, Buwen Cao and Guanghui LiSynergistic drug combinations play an important role in the treatment of complex diseases. The identification of effective drug combination is vital to further reduce the side effects and improve therapeutic efficiency. In previous years, in vitro method has been the main route to discover synergistic drug combinations. However, many limitations of time and resource consumption lie within the in vitro method. Therefore, wi Read More
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Role of Noncoding RNA in Pulmonary Arterial Hypertension and Potential Drug Therapeutic Target
Authors: Chi-yuan Zhang, Mo liu, Jia-ming Wan, Ming-qi Gao, Yue Zhang, Muscab Soyan, Huai-Liang Wang and Yang BaiPulmonary arterial hypertension (PAH) is a devastating disease without effective drugs available for its treatment. An in-depth exploration of the pathogenesis of PAH, as well as inquiry into potential therapeutic targets, remains an urgent issue. Non-coding RNAs (ncRNAs) have arisen as key players in malignant tumors, cardiovascular diseases and more recently in PAH progression and development. Network pharmacology is Read More
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Applications of Machine Learning Methods in Drug Toxicity Prediction
Authors: Li Zhang, Hui Zhang, Haixin Ai, Huan Hu, Shimeng Li, Jian Zhao and Hongsheng LiuToxicity evaluation is an important part of the preclinical safety assessment of new drugs, which is directly related to human health and the fate of drugs. It is of importance to study how to evaluate drug toxicity accurately and economically. The traditional in vitro and in vivo toxicity tests are laborious, time-consuming, highly expensive, and even involve animal welfare issues. Computational methods developed for drug toxicit Read More
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Structure-Based Drug Design Strategies and Challenges
Authors: Xin Wang, Ke Song, Li Li and Lijiang ChenOver the past ten years, the number of three-dimensional protein structures identified by advanced science and technology increases, and the gene information becomes more available than ever before as well. The development of computing science becomes another driving force which makes it possible to use computational methods effectively in various phases of the drug design and research. Now Structure-Based Dru Read More
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Analyzing of Molecular Networks for Human Diseases and Drug Discovery
Authors: Tong Hao, Qian Wang, Lingxuan Zhao, Dan Wu, Edwin Wang and Jinsheng SunMolecular networks represent the interactions and relations of genes/proteins, and also encode molecular mechanisms of biological processes, development and diseases. Among the molecular networks, protein-protein Interaction Networks (PINs) have become effective platforms for uncovering the molecular mechanisms of diseases and drug discovery. PINs have been constructed for various organisms and utilized to Read More
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Parallelization of Molecular Docking: A Review
Authors: Dong Dong, Zhijian Xu, Wu Zhong and Shaoliang PengMolecular docking, as one of the widely used virtual screening methods, aims to predict the binding-conformations of small molecule ligands to the appropriate target binding site. Because of the computational complexity and the arrival of the big data era, molecular docking requests High- Performance Computing (HPC) to improve its performance and accuracy. We discuss, in detail, the advances in accelerating molecular d Read More
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Volumes & issues
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Volume 25 (2025)
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Volume 24 (2024)
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Volume 23 (2023)
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Volume 22 (2022)
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Volume 21 (2021)
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Volume 20 (2020)
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Volume 19 (2019)
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Volume 18 (2018)
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Volume 17 (2017)
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Volume 16 (2016)
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Volume 15 (2015)
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Volume 14 (2014)
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Volume 13 (2013)
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Volume 12 (2012)
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Volume 11 (2011)
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Volume 10 (2010)
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Volume 9 (2009)
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Volume 8 (2008)
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Volume 7 (2007)
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Volume 6 (2006)
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Volume 5 (2005)
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Volume 4 (2004)
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Volume 3 (2003)
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Volume 2 (2002)
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Volume 1 (2001)
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