Chemogenomics approaches to rationalizing the mode-of-action of traditional chinese and ayurvedic medicines

Traditional Chinese medicine (TCM) and Ayurveda have been used in humans for thousands of years. While the link to a particular indication has been established in man, the mode-of-action (MOA) of the formulations often remains unknown. In this study, we aim to understand the MOA of formulations used...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Journal of Chemical Information and Modeling
المؤلف الرئيسي: 2-s2.0-84875462770
التنسيق: مقال
اللغة:English
منشور في: American Chemical Society 2013
الوصول للمادة أونلاين:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84875462770&doi=10.1021%2fci3005513&partnerID=40&md5=08cf0e542c62006f634b62d897fe5a36
id Mohd Fauzi F.; Koutsoukas A.; Lowe R.; Joshi K.; Fan T.-P.; Glen R.C.; Bender A.
spelling Mohd Fauzi F.; Koutsoukas A.; Lowe R.; Joshi K.; Fan T.-P.; Glen R.C.; Bender A.
2-s2.0-84875462770
Chemogenomics approaches to rationalizing the mode-of-action of traditional chinese and ayurvedic medicines
2013
Journal of Chemical Information and Modeling
53
3
10.1021/ci3005513
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84875462770&doi=10.1021%2fci3005513&partnerID=40&md5=08cf0e542c62006f634b62d897fe5a36
Traditional Chinese medicine (TCM) and Ayurveda have been used in humans for thousands of years. While the link to a particular indication has been established in man, the mode-of-action (MOA) of the formulations often remains unknown. In this study, we aim to understand the MOA of formulations used in traditional medicine using an in silico target prediction algorithm, which aims to predict protein targets (and hence MOAs), given the chemical structure of a compound. Following this approach we were able to establish several links between suggested MOAs and experimental evidence. In particular, compounds from the 'tonifying and replenishing medicinal' class from TCM exhibit a hypoglycemic effect which can be related to activity of the ingredients against the Sodium-Glucose Transporters (SGLT) 1 and 2 as well as Protein Tyrosine Phosphatase (PTP). Similar results were obtained for Ayurvedic anticancer drugs. Here, both primary anticancer targets (those directly involved in cancer pathogenesis) such as steroid-5-alpha-reductase 1 and 2 were predicted as well as targets which act synergistically with the primary target, such as the efflux pump P-glycoprotein (P-gp). In addition, we were able to elucidate some targets which may point us to novel MOAs as well as explain side effects. Most notably, GPBAR1, which was predicted as a target for both 'tonifying and replenishing medicinal' and anticancer classes, suggests an influence of the compounds on metabolism. Understanding the MOA of these compounds is beneficial as it provides a resource for NMEs with possibly higher efficacy in the clinic than those identified by single-target biochemical assays. © 2013 American Chemical Society.
American Chemical Society
15499596
English
Article

author 2-s2.0-84875462770
spellingShingle 2-s2.0-84875462770
Chemogenomics approaches to rationalizing the mode-of-action of traditional chinese and ayurvedic medicines
author_facet 2-s2.0-84875462770
author_sort 2-s2.0-84875462770
title Chemogenomics approaches to rationalizing the mode-of-action of traditional chinese and ayurvedic medicines
title_short Chemogenomics approaches to rationalizing the mode-of-action of traditional chinese and ayurvedic medicines
title_full Chemogenomics approaches to rationalizing the mode-of-action of traditional chinese and ayurvedic medicines
title_fullStr Chemogenomics approaches to rationalizing the mode-of-action of traditional chinese and ayurvedic medicines
title_full_unstemmed Chemogenomics approaches to rationalizing the mode-of-action of traditional chinese and ayurvedic medicines
title_sort Chemogenomics approaches to rationalizing the mode-of-action of traditional chinese and ayurvedic medicines
publishDate 2013
container_title Journal of Chemical Information and Modeling
container_volume 53
container_issue 3
doi_str_mv 10.1021/ci3005513
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84875462770&doi=10.1021%2fci3005513&partnerID=40&md5=08cf0e542c62006f634b62d897fe5a36
description Traditional Chinese medicine (TCM) and Ayurveda have been used in humans for thousands of years. While the link to a particular indication has been established in man, the mode-of-action (MOA) of the formulations often remains unknown. In this study, we aim to understand the MOA of formulations used in traditional medicine using an in silico target prediction algorithm, which aims to predict protein targets (and hence MOAs), given the chemical structure of a compound. Following this approach we were able to establish several links between suggested MOAs and experimental evidence. In particular, compounds from the 'tonifying and replenishing medicinal' class from TCM exhibit a hypoglycemic effect which can be related to activity of the ingredients against the Sodium-Glucose Transporters (SGLT) 1 and 2 as well as Protein Tyrosine Phosphatase (PTP). Similar results were obtained for Ayurvedic anticancer drugs. Here, both primary anticancer targets (those directly involved in cancer pathogenesis) such as steroid-5-alpha-reductase 1 and 2 were predicted as well as targets which act synergistically with the primary target, such as the efflux pump P-glycoprotein (P-gp). In addition, we were able to elucidate some targets which may point us to novel MOAs as well as explain side effects. Most notably, GPBAR1, which was predicted as a target for both 'tonifying and replenishing medicinal' and anticancer classes, suggests an influence of the compounds on metabolism. Understanding the MOA of these compounds is beneficial as it provides a resource for NMEs with possibly higher efficacy in the clinic than those identified by single-target biochemical assays. © 2013 American Chemical Society.
publisher American Chemical Society
issn 15499596
language English
format Article
accesstype
record_format scopus
collection Scopus
_version_ 1828987883514494976