Literature DB >> 23353707

Modular pharmacology: deciphering the interacting structural organization of the targeted networks.

Zhong Wang1, Yong-yan Wang.   

Abstract

Because multiple drugs act within the context of the regulatory networks in which drug targets and disease gene products function, module-designed studies are becoming increasingly important for revealing the relationships between drug actions and disease outcomes in network pharmacology. In this review we discuss how network-based analyses of modules' structures and new modules have contributed to the genesis of modular structure and how these studies have improved the global understanding of the interacting structural organization at a genomic level, so as to suggest a new paradigm for medical research and drug discovery. We develop a framework of Modular Pharmacology (MP) that deciphers a given-ordered modular design of diseases and optimizes modules in a pharmacological network to reverse the complex diseases. Crown
Copyright © 2013. Published by Elsevier Ltd. All rights reserved.

Mesh:

Year:  2013        PMID: 23353707     DOI: 10.1016/j.drudis.2013.01.009

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  15 in total

Review 1.  Diverse array-designed modes of combination therapies in Fangjiomics.

Authors:  Jun Liu; Zhong Wang
Journal:  Acta Pharmacol Sin       Date:  2015-04-13       Impact factor: 6.150

2.  Entropy-based divergent and convergent modular pattern reveals additive and synergistic anticerebral ischemia mechanisms.

Authors:  Yanan Yu; Xiaoxu Zhang; Bing Li; Yingying Zhang; Jun Liu; Haixia Li; Yinying Chen; Pengqian Wang; Ruixia Kang; Hongli Wu; Zhong Wang
Journal:  Exp Biol Med (Maywood)       Date:  2016-08-10

3.  Phenotype-dependent alteration of pathways and networks reveals a pure synergistic mechanism for compounds treating mouse cerebral ischemia.

Authors:  Peng-qian Wang; Bing Li; Jun Liu; Ying-ying Zhang; Ya-nan Yu; Xiao-xu Zhang; Ye Yuan; Zhi-li Guo; Hong-li Wu; Hai-xia Li; Hai-xia Dang; Shan-shan Guo; Zhong Wang
Journal:  Acta Pharmacol Sin       Date:  2015-05-11       Impact factor: 6.150

4.  System-wide assembly of pathways and modules hierarchically reveal metabolic mechanism of cerebral ischemia.

Authors:  Yan Zhu; Zhili Guo; Liangxiao Zhang; Yingying Zhang; Yinying Chen; Jingyi Nan; Buchang Zhao; Hongbin Xiao; Zhong Wang; Yongyan Wang
Journal:  Sci Rep       Date:  2015-12-01       Impact factor: 4.379

5.  Network-Wide Screen Identifies Variation of Novel Precise On-Module Targets Using Conformational Modudaoism.

Authors:  Bing Li; Jun Liu; Yanan Yu; Pengqian Wang; Yingying Zhang; Xumin Ni; Qiong Liu; Xiaoxu Zhang; Zhong Wang; Yongyan Wang
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2017-11-20

6.  Deciphering the scalene association among type-2 diabetes mellitus, prostate cancer, and chronic myeloid leukemia via enrichment analysis of disease-gene network.

Authors:  Qiong Liu; Yingying Zhang; Pengqian Wang; Jun Liu; Bing Li; Yanan Yu; Hongli Wu; Ruixia Kang; Xiaoxu Zhang; Zhong Wang
Journal:  Cancer Med       Date:  2019-04-01       Impact factor: 4.452

7.  Quantitative Determination of Flexible Pharmacological Mechanisms Based On Topological Variation in Mice Anti-Ischemic Modular Networks.

Authors:  Yin-Ying Chen; Ya-Nan Yu; Ying-Ying Zhang; Bing Li; Jun Liu; Dong-Feng Li; Ping Wu; Jie Wang; Zhong Wang; Yong-Yan Wang
Journal:  PLoS One       Date:  2016-07-06       Impact factor: 3.240

8.  TarNet: An Evidence-Based Database for Natural Medicine Research.

Authors:  Ruifeng Hu; Guomin Ren; Guibo Sun; Xiaobo Sun
Journal:  PLoS One       Date:  2016-06-23       Impact factor: 3.240

9.  Quantitative Identification of Compound-Dependent On-Modules and Differential Allosteric Modules From Homologous Ischemic Networks.

Authors:  B Li; J Liu; Y Y Zhang; P Q Wang; Y N Yu; R X Kang; H L Wu; X X Zhang; Z Wang; Y Y Wang
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2016-10-19

10.  Systems Pharmacology-Based Approach of Connecting Disease Genes in Genome-Wide Association Studies with Traditional Chinese Medicine.

Authors:  Jihye Kim; Minjae Yoo; Jimin Shin; Hyunmin Kim; Jaewoo Kang; Aik Choon Tan
Journal:  Int J Genomics       Date:  2018-03-22       Impact factor: 2.326

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.