Literature DB >> 14529345

Virtual screening on natural products for discovering active compounds and target information.

Jianhua Shen1, Xiaoying Xu, Feng Cheng, Hong Liu, Xiaomin Luo, Jingkang Shen, Kaixian Chen, Weimin Zhao, Xu Shen, Hualiang Jiang.   

Abstract

Natural products, containing inherently large-scale structural diversity than synthetic compounds, have been the major resources of bioactive agents and will continually play as protagonists for discovering new drugs. However, how to access this diverse chemical space efficiently and effectively is an exciting challenge for medicinal chemists and pharmacologists. While virtual screening, which has shown a great promise in drug discovery, will play an important role in digging out lead (active) compounds from natural products. This review focuses on the strategy of virtual screening based on molecular docking and, with successful examples from our laboratory, illustrates the efficiency of virtual screening in discovering active compounds from natural products. On the other hand, the sequencing of the human genome and numerous pathogen genomes has resulted in an unprecedented opportunity for discovering potential new drug targets. Chemogenomics has appeared as a new technology to initiate target discovery by using active compounds as probes to characterize proteome functions. Natural products are the ideal probes for such research. Binding affinity fingerprint is a powerful chemogenomic descriptor to characterize both small molecules and pharmacologically relevant proteins. Therefore, this review also discusses binding affinity fingerprint strategy for identifying target information from the genomic data by using natural products as the probes.

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Year:  2003        PMID: 14529345     DOI: 10.2174/0929867033456729

Source DB:  PubMed          Journal:  Curr Med Chem        ISSN: 0929-8673            Impact factor:   4.530


  41 in total

1.  Computational simulations of interactions of scorpion toxins with the voltage-gated potassium ion channel.

Authors:  Kunqian Yu; Wei Fu; Hong Liu; Xiaomin Luo; Kai Xian Chen; Jianping Ding; Jianhua Shen; Hualiang Jiang
Journal:  Biophys J       Date:  2004-06       Impact factor: 4.033

2.  An in silico protocol for identifying mTOR inhibitors from natural products.

Authors:  Lei Chen; Ling Wang; Qiong Gu; Jun Xu
Journal:  Mol Divers       Date:  2014-08-26       Impact factor: 2.943

3.  Pharmacophore-based virtual screening versus docking-based virtual screening: a benchmark comparison against eight targets.

Authors:  Zhi Chen; Hong-lin Li; Qi-jun Zhang; Xiao-guang Bao; Kun-qian Yu; Xiao-min Luo; Wei-liang Zhu; Hua-liang Jiang
Journal:  Acta Pharmacol Sin       Date:  2009-11-23       Impact factor: 6.150

4.  Quantitative and Systems Pharmacology. 1. In Silico Prediction of Drug-Target Interactions of Natural Products Enables New Targeted Cancer Therapy.

Authors:  Jiansong Fang; Zengrui Wu; Chuipu Cai; Qi Wang; Yun Tang; Feixiong Cheng
Journal:  J Chem Inf Model       Date:  2017-10-13       Impact factor: 4.956

Review 5.  Computational drug discovery.

Authors:  Si-Sheng Ou-Yang; Jun-Yan Lu; Xiang-Qian Kong; Zhong-Jie Liang; Cheng Luo; Hualiang Jiang
Journal:  Acta Pharmacol Sin       Date:  2012-08-27       Impact factor: 6.150

Review 6.  Modulation of diabetic retinopathy pathophysiology by natural medicines through PPAR-γ-related pharmacology.

Authors:  Min K Song; Basil D Roufogalis; Tom H W Huang
Journal:  Br J Pharmacol       Date:  2012-01       Impact factor: 8.739

7.  Garlic constituent diallyl trisulfide suppresses x-linked inhibitor of apoptosis protein in prostate cancer cells in culture and in vivo.

Authors:  Su-Hyeong Kim; Ajay Bommareddy; Shivendra V Singh
Journal:  Cancer Prev Res (Phila)       Date:  2011-03-16

8.  Web search and data mining of natural products and their bioactivities in PubChem.

Authors:  Hao Ming; Cheng Tiejun; Wang Yanli; Bryant H Stephen
Journal:  Sci China Chem       Date:  2013-10       Impact factor: 9.445

9.  The tumor inhibitor and antiangiogenic agent withaferin A targets the intermediate filament protein vimentin.

Authors:  Paola Bargagna-Mohan; Adel Hamza; Yang-eon Kim; Yik Khuan Abby Ho; Nirit Mor-Vaknin; Nicole Wendschlag; Junjun Liu; Robert M Evans; David M Markovitz; Chang-Guo Zhan; Kyung Bo Kim; Royce Mohan
Journal:  Chem Biol       Date:  2007-06

10.  Peucedanum japonicum Thunb. ethanol extract suppresses RANKL-mediated osteoclastogenesis.

Authors:  Jeong-Mi Kim; Munkhsoyol Erkhembaatar; Guem-San Lee; Jin-Hyun Lee; Eun-Mi Noh; Minok Lee; Hyun-Kyung Song; Choong Hun Lee; Kang-Beom Kwon; Min Seuk Kim; Young-Rae Lee
Journal:  Exp Ther Med       Date:  2017-05-19       Impact factor: 2.447

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