Literature DB >> 26962012

Weak-binding molecules are not drugs?-toward a systematic strategy for finding effective weak-binding drugs.

Jinan Wang1, Zihu Guo1, Yingxue Fu1, Ziyin Wu1, Chao Huang1, Chunli Zheng1, Piar Ali Shar2, Zhenzhong Wang3, Wei Xiao4, Yonghua Wang1.   

Abstract

Designing maximally selective ligands that act on individual drug targets with high binding affinity has been the central dogma of drug discovery and development for the past two decades. However, many low-affinity drugs that aim for several targets at the same time are found more effective than the high-affinity binders when faced with complex disease conditions, such as cancers, Alzheimer's disease and cardiovascular diseases. The aim of this study was to appreciate the importance and reveal the features of weak-binding drugs and propose an integrated strategy for discovering them. Weak-binding drugs can be characterized by their high dissociation rates and transient interactions with their targets. In addition, network topologies and dynamics parameters involved in the targets of weak-binding drugs also influence the effects of the drugs. Here, we first performed a dynamics analysis for 33 elementary subgraphs to determine the desirable topology and dynamics parameters among targets. Then, by applying the elementary subgraphs to the mitogen-activated protein kinase (MAPK) pathway, several optimal target combinations were obtained. Combining drug-target interaction prediction with molecular dynamics simulation, we got two potential weak-binding drug candidates, luteolin and tanshinone IIA, acting on these targets. Further, the binding affinity of these two compounds to their targets and the anti-inflammatory effects of them were validated through in vitro experiments. In conclusion, weak-binding drugs have real opportunities for maximum efficiency and may show reduced adverse reactions, which can offer a bright and promising future for new drug discovery.
© The Author 2016. Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  mathematical modeling; polypharmacology; systems pharmacology; weak-binding drug

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Year:  2017        PMID: 26962012     DOI: 10.1093/bib/bbw018

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  11 in total

1.  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 2.  Bioactive polyphenols and cardiovascular disease: chemical antagonists, pharmacological agents or xenobiotics that drive an adaptive response?

Authors:  Katarzyna Goszcz; Garry G Duthie; Derek Stewart; Stephen J Leslie; Ian L Megson
Journal:  Br J Pharmacol       Date:  2017-02-02       Impact factor: 8.739

3.  Network-based prediction of drug-target interactions using an arbitrary-order proximity embedded deep forest.

Authors:  Xiangxiang Zeng; Siyi Zhu; Yuan Hou; Pengyue Zhang; Lang Li; Jing Li; L Frank Huang; Stephen J Lewis; Ruth Nussinov; Feixiong Cheng
Journal:  Bioinformatics       Date:  2020-05-01       Impact factor: 6.937

4.  Syringol isolated from Eleusine coracana (L.) Gaertn bran suppresses inflammatory response through the down-regulation of cPLA2, COX-2, IκBα, p38 and MPO signaling in sPLA2 induced mice paw oedema.

Authors:  M D Milan Gowda; K Jayachandra; Vikram Joshi; Vaddarahally N Manjuprasanna; Gotravalli V Rudresha; Devadasan Velmurugan; Raman Pachaiappan; Noor Mohamed Jameel; Bannikuppe S Vishwanath
Journal:  Inflammopharmacology       Date:  2022-05-31       Impact factor: 5.093

5.  Systems pharmacology approach uncovers Ligustilide attenuates experimental colitis in mice by inhibiting PPARγ-mediated inflammation pathways.

Authors:  Yujie Huang; Yifan Zhang; Ting Wan; Yu Mei; Zihao Wang; Jincheng Xue; Yi Luo; Min Li; Shuhuan Fang; Huafeng Pan; Qi Wang; Jiansong Fang
Journal:  Cell Biol Toxicol       Date:  2020-10-31       Impact factor: 6.691

6.  Novel Benzodiazepine-Like Ligands with Various Anxiolytic, Antidepressant, or Pro-Cognitive Profiles.

Authors:  Thomas D Prevot; Guanguan Li; Aleksandra Vidojevic; Keith A Misquitta; Corey Fee; Anja Santrac; Daniel E Knutson; Michael Rajesh Stephen; Revathi Kodali; Nicolas M Zahn; Leggy A Arnold; Petra Scholze; Janet L Fisher; Bojan D Marković; Mounira Banasr; James M Cook; Miroslav Savic; Etienne Sibille
Journal:  Mol Neuropsychiatry       Date:  2019-01-23

7.  A New Strategy for Deleting Animal drugs from Traditional Chinese Medicines based on Modified Yimusake Formula.

Authors:  Jinghui Wang; Yan Li; Yinfeng Yang; Xuetong Chen; Jian Du; Qiusheng Zheng; Zongsuo Liang; Yonghua Wang
Journal:  Sci Rep       Date:  2017-05-04       Impact factor: 4.379

Review 8.  Dietary Polyphenols Targeting Arterial Stiffness: Interplay of Contributing Mechanisms and Gut Microbiome-Related Metabolism.

Authors:  Tess De Bruyne; Bieke Steenput; Lynn Roth; Guido R Y De Meyer; Claudia Nunes Dos Santos; Kateřina Valentová; Maija Dambrova; Nina Hermans
Journal:  Nutrients       Date:  2019-03-08       Impact factor: 5.717

9.  Fragment-Based Drug Discovery by NMR. Where Are the Successes and Where can It Be Improved?

Authors:  Luca G Mureddu; Geerten W Vuister
Journal:  Front Mol Biosci       Date:  2022-02-18

10.  Target identification among known drugs by deep learning from heterogeneous networks.

Authors:  Xiangxiang Zeng; Siyi Zhu; Weiqiang Lu; Zehui Liu; Jin Huang; Yadi Zhou; Jiansong Fang; Yin Huang; Huimin Guo; Lang Li; Bruce D Trapp; Ruth Nussinov; Charis Eng; Joseph Loscalzo; Feixiong Cheng
Journal:  Chem Sci       Date:  2020-01-13       Impact factor: 9.969

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