GSK256073, a selective agonist of G-protein coupled receptor 109A (GPR109A) reduces serum glucose in subjects with type 2 diabetes mellitus

2013 ◽  
Vol 15 (11) ◽  
pp. 1013-1021 ◽  
Author(s):  
R. L. Dobbins ◽  
S. P. Shearn ◽  
R. L. Byerly ◽  
F. F. Gao ◽  
K. M. Mahar ◽  
...  
2018 ◽  
Vol 10 (1) ◽  
pp. 84-93 ◽  
Author(s):  
Hirotaka Watada ◽  
Masanari Shiramoto ◽  
Shin Irie ◽  
Yasuo Terauchi ◽  
Yuichiro Yamada ◽  
...  

2018 ◽  
Vol 26 (2) ◽  
pp. 201-209 ◽  
Author(s):  
Taedong Han ◽  
Byoung Moon Lee ◽  
Yoo Hoi Park ◽  
Dong Hoon Lee ◽  
Hyun Ho Choi ◽  
...  

Author(s):  
Xu Chen ◽  
Zhidong Chen ◽  
Daiyun Xu ◽  
Yonghui Lyu ◽  
Yongxiao Li ◽  
...  

G protein-coupled receptor 40 (GPR40), one of the G protein-coupled receptors that are available to sense glucose metabolism, is an attractive target for the treatment of type 2 diabetes mellitus (T2DM). Despite many efforts having been made to discover small-molecule agonists, there is limited research focus on developing peptides acting as GPR40 agonists to treat T2DM. Here, we propose a novel strategy for peptide design to generate and determine potential peptide agonists against GPR40 efficiently. A molecular fingerprint similarity (MFS) model combined with a deep neural network (DNN) and convolutional neural network was applied to predict the activity of peptides constructed by unnatural amino acids (UAAs). Site-directed mutagenesis (SDM) further optimized the peptides to form specific favorable interactions, and subsequent flexible docking showed the details of the binding mechanism between peptides and GPR40. Molecular dynamics (MD) simulations further verified the stability of the peptide–protein complex. The R-square of the machine learning model on the training set and the test set reached 0.87 and 0.75, respectively; and the three candidate peptides showed excellent performance. The strategy based on machine learning and SDM successfully searched for an optimal design with desirable activity comparable with the model agonist in phase III clinical trials.


2017 ◽  
Vol 70 (1) ◽  
pp. 39-67 ◽  
Author(s):  
Darren M. Riddy ◽  
Philippe Delerive ◽  
Roger J. Summers ◽  
Patrick M. Sexton ◽  
Christopher J. Langmead

2020 ◽  
Vol 26 (4) ◽  
pp. 501-508
Author(s):  
Ghulam Abbas ◽  
Quazi M. I. Haq ◽  
Ahmad Hamaed ◽  
Mohammed Al-Sibani ◽  
Hidayat Hussain

: G-protein-coupled receptors (GPCRs) are membrane-bound proteins, which are responsible for the detection of extracellular stimuli and the origination of intracellular responses. Both glucagon and glucagon-like peptide-1 (GLP-1) receptors belong to G protein-coupled receptor (GPCR) superfamily. Along with insulin, glucagon and GLP-1 are critical hormones for maintaining normal serum glucose within the human body. Glucagon generally plays its role in the liver through cyclic adenosine monophosphate (cAMP), where it compensates for the action of insulin. GLP-1 is secreted by the L-cells of the small intestine to stimulate insulin secretion and inhibit glucagon action. Despite extensive research efforts and the multiple approaches adopted, the glycemic control in the case of type-2 diabetes mellitus remains a major challenge. Therefore, a deep understanding of the structure-function relationship of these receptors will have great implications for future therapies in order to maintain a normal glucose level for an extended period of time. The antagonists of glucagon receptors that can effectively block the hepatic glucose production, as a result of glucagon action, are highly desirable for the tuning of the hyperglycemic state in type 2 diabetes mellitus. In the same manner, GLP-1R agonists act as important treatment modalities, thanks to their multiple anti-diabetic actions to attain normal glucose levels. : In this review article, the structural diversity of glucagon and GLP-1 receptors along with their signaling pathways, site-directed mutations and significance in drug discovery against type-2 diabetes are illustrated. Moreover, the promising non-peptide antagonists of glucagon receptor and agonists of GLP-1 receptor, for the management of diabetes are presented with elaboration on the structure-activity relationship (SAR).


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