Literature DB >> 19747866

Computational screening and design of traditional Chinese medicine (TCM) to block phosphodiesterase-5.

Calvin Yu-Chian Chen1.   

Abstract

The traditional Chinese medicines (TCM), Epimedium sagittatum (ESs), Cnidium monnieri (CMs), and Semen cuscutae (SCs), were used for treating erectile dysfunction since the ancient Han dynasty (202 BC-AD 220). Phosphodiesterase-5 (PDE-5) is deemed the target protein for inhibition to treat erectile dysfunction. In this study, a reliable multiple linear regression (MLR) model (r value=0.8484) was used to predict the activities of new candidates which were designed from ES, CM, and SC. From docking and pharmacophore analysis, the potent candidates among ES, CM, and SC were screened. SC01, SC03, and ES03b were predicted to have high potencies based on MLR analysis and high docking scores. Additionally, from our analysis, we make the follow conclusion (1) Hydrophobic compounds tend to be more potent PDE-5 inhibitors; (2) Because of the big binding site, inhibitors with molecular weights over 500 remain potent; (3) From the pharmacophore analysis, the features of hydrogen bond acceptors are the basis for designing novel inhibitors of PDE-5 and (4) According to MLR analysis, the number of ring groups could be up to 6, but the number of aromatic rings was limited to 4 to be potent. This study offers an alternative way to screen PDE-5 inhibitors from TCM and provides a scientific basis for confirming pharmacological actions of TCM.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19747866     DOI: 10.1016/j.jmgm.2009.08.004

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  15 in total

1.  iScreen: world's first cloud-computing web server for virtual screening and de novo drug design based on TCM database@Taiwan.

Authors:  Tsung-Ying Tsai; Kai-Wei Chang; Calvin Yu-Chian Chen
Journal:  J Comput Aided Mol Des       Date:  2011-06-07       Impact factor: 3.686

2.  In silico identification of potent pancreatic triacylglycerol lipase inhibitors from traditional Chinese medicine.

Authors:  Kuan-Yu Chen; Su-Sen Chang; Calvin Yu-Chian Chen
Journal:  PLoS One       Date:  2012-09-06       Impact factor: 3.240

3.  TCM Database@Taiwan: the world's largest traditional Chinese medicine database for drug screening in silico.

Authors:  Calvin Yu-Chian Chen
Journal:  PLoS One       Date:  2011-01-06       Impact factor: 3.240

4.  Identifying HER2 inhibitors from natural products database.

Authors:  Shun-Chieh Yang; Su-Sen Chang; Calvin Yu-Chian Chen
Journal:  PLoS One       Date:  2011-12-12       Impact factor: 3.240

5.  In silico design of BACE1 inhibitor for Alzheimer's disease by traditional Chinese medicine.

Authors:  Hung-Jin Huang; Cheng-Chun Lee; Calvin Yu-Chian Chen
Journal:  Biomed Res Int       Date:  2014-05-08       Impact factor: 3.411

6.  Microcirculation perfusion monitor on the back of the health volunteers.

Authors:  Yanqi Li; Xiaomei Li; Dan Zhou; Kang Wang; Yangyang Liu; Yi Guo; Shuang Qiu; Tianchen Zhai; Shuang Liu; Jingjing Liu; Dong Ming
Journal:  Evid Based Complement Alternat Med       Date:  2013-11-28       Impact factor: 2.629

7.  Finding inhibitors of mutant superoxide dismutase-1 for amyotrophic lateral sclerosis therapy from traditional chinese medicine.

Authors:  Hung-Jin Huang; Tung-Ti Chang; Hsin-Yi Chen; Calvin Yu-Chian Chen
Journal:  Evid Based Complement Alternat Med       Date:  2014-05-18       Impact factor: 2.629

8.  Lead screening for HIV-1 integrase (IN) inhibited by traditional Chinese medicine.

Authors:  Tzu-Chieh Hung; Wen-Yuan Lee; Kuen-Bao Chen; Yueh-Chiu Chan; Calvin Yu-Chian Chen
Journal:  Biomed Res Int       Date:  2014-06-11       Impact factor: 3.411

9.  Ligand-based and structure-based investigation for Alzheimer's disease from traditional chinese medicine.

Authors:  Kai Hsin Liao; Kuen-Bao Chen; Wen-Yuan Lee; Mao-Feng Sun; Cheng-Chun Lee; Calvin Yu-Chian Chen
Journal:  Evid Based Complement Alternat Med       Date:  2014-05-08       Impact factor: 2.629

10.  Computational design of apolipoprotein E4 inhibitors for Alzheimer's disease therapy from traditional Chinese medicine.

Authors:  Hung-Jin Huang; Hsin-Yi Chen; Cheng-Chun Lee; Calvin Yu-Chian Chen
Journal:  Biomed Res Int       Date:  2014-05-21       Impact factor: 3.411

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.