Dataset Information

A Drug-Target Network-Based Approach to Evaluate the Efficacy of Medicinal Plants for Type II Diabetes Mellitus.

ABSTRACT: The use of plants as natural medicines in the treatment of type II diabetes mellitus (T2DM) has long been of special interest. In this work, we developed a docking score-weighted prediction model based on drug-target network to evaluate the efficacy of medicinal plants for T2DM. High throughput virtual screening from chemical library of natural products was adopted to calculate the binding affinity between natural products contained in medicinal plants and 33 T2DM-related proteins. The drug-target network was constructed according to the strength of the binding affinity if the molecular docking score satisfied the threshold. By linking the medicinal plant with T2DM through drug-target network, the model can predict the efficacy of natural products and medicinal plant for T2DM. Eighteen thousand nine hundred ninety-nine natural products and 1669 medicinal plants were predicted to be potentially bioactive.

SUBMITTER: Gu J

PROVIDER: S-EPMC3810496 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

A Drug-Target Network-Based Approach to Evaluate the Efficacy of Medicinal Plants for Type II Diabetes Mellitus.

Gu Jiangyong J Chen Lirong L Yuan Gu G Xu Xiaojie X

Evidence-based complementary and alternative medicine : eCAM 20131010

The use of plants as natural medicines in the treatment of type II diabetes mellitus (T2DM) has long been of special interest. In this work, we developed a docking score-weighted prediction model based on drug-target network to evaluate the efficacy of medicinal plants for T2DM. High throughput virtual screening from chemical library of natural products was adopted to calculate the binding affinity between natural products contained in medicinal plants and 33 T2DM-related proteins. The drug-targ ...[more]

PMID: 24223610

Similar Datasets

Project description:Medicinal plants (MPs) are natural sources of active compounds with potential therapeutic benefits in alleviating various illnesses for decades. Fijian people also are using these MPs for the management/prevention of Type 2 diabetes mellitus (T2DM) and associated complications. However, till date, none of these Fijian MP's antidiabetic potential have been explored or evaluated. Here, we investigated the antidiabetic potential of Fijian MPs scientifically. Phytochemicals such as polyphenols were detected to inhibit the activity of α-amylase and α-glucosidase, the two key carbohydrate enzymes linked to T2DM. Therefore, in the present study, the total phenolic content (TPC), α-amylase and α-glucosidase inhibitory activity of five Fijian MPs: Vobo (Mussaenda raiateensis, MR), Vula walu (Blechnum orientale, BO), Gasau (Miscanthus floridulus, MF), Molikaro (Citrus limon, CL) and Beki ni sina (Dicranopteris caudate, DC) collected from mainland region of Vitilevu, Fiji Islands, were evaluated in vitro. The hydromethanolic (ME) and dichloromethane (DM) extracts of these selected MPs were investigated. The ME extracts of BO (0.102 ± 0.009 mM CE) and DC (0.098 ± 0.09 mM Catechin Equivalence [CE]) showed a higher TPC compared with the control [vanillic acid (0.052 ± 0.003 mM CE, *P value < 0.05)]. However, the TPC of MF, MR and CL were found in the range of 0.020 ± 0.009 to 0.009 ± 0.01 mM CE. The ME extracts of MF and MR inhibited α-glucosidase significantly in comparison with acarbose as evidenced from the IC50 values (IC50 of MF = 1.58 ± 0.03 ng/µl; IC50 of MR = 1.87 ± 0.43 ng/µl and IC50 of acarbose = 3.34 ± 0.15 ng/µl). Moreover, DM extracts of MR (IC50 = 1.31 ± 0.29 ng/µl) also showed significantly higher α-glucosidase inhibitory activity. In contrary, MR (IC50 = 16.18 ± 0.16 ng/µl) and CL (IC50 = 9.21 ± 0.51 ng/µl) also showed significant α-amylase inhibitory activity in ME and DM extracts, respectively. These, results suggest that Fijian MPs could be a potential source of natural inhibitors of enzymes involved in carbohydrate digestion and thus may possibly be used in managing T2DM.

Project description:Diabetes and hypertension have been declared as a global health menace of the 21st Century. Thus, the search for potential therapeutic agents from medicinal plants for the management of diabetes and hypertension is important. This study was undertaken to investigate medicinal plants being used in the management of diabetes and hypertension by herbalists in Ghana. Data were obtained from 36 herbalists through questionnaire interviews and conversations. Botanical specimens were collected, processed and identified following standard ethnobotanical methods. Data were analyzed using Fidelity Level (FL) and Informant Consensus Factor (ICF). A total of 39 species of plants belonging to 31 families were reported being used for management of diabetes and hypertension. Eighteen of these plants are used for the treatment of hypertension, 12 species for diabetes, and 9 species for management of both diseases. Informant consensus factor was highest for plants used to treat both diseases (IFC = 0.82) followed by hypertension (ICF = 0.31) and then diabetes (IFC = 0.24). FL values were high for Carica papaya L. Moringa oleifera Lam. and Khaya senegalensis A. Juss. for the management of both diabetes and hypertension. Of the 14 species used for hypertension, Tetrapleura tetraptera (Schum. ex. Thonn.) recorded the highest FL value whiles Momordica charantia L. recorded the highest FL value for antidiabetic plants. Baphia nitida G. Lodd, Luffa aegyptiaca Mill. and Tapinanthus banguwensis (Engl. & k. Krause) Dancing are being mentioned for the first time in the management of hypertension. Herbal medicines for treatments of both diabetes and hypertension were usually prepared from multiple plant prescriptions by boiling the plant parts, and the decoctions drunk for treatments. The results show that there is substantial preclinical evidence to support the usefulness of some of these herbs as an important choice for patients with diabetes and hypertension. However, clinical studies are important to confirm the efficacy and safety of the herbal medicines prescribed by herbalists.

Dataset Information

A Drug-Target Network-Based Approach to Evaluate the Efficacy of Medicinal Plants for Type II Diabetes Mellitus.

Publications

A Drug-Target Network-Based Approach to Evaluate the Efficacy of Medicinal Plants for Type II Diabetes Mellitus.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets