In silico analysis of kiss2, expression studies and protein–protein interaction with gonadotropin-releasing hormone 2 (GnRH2) and luteinizing hormone beta (LHβ) in Heteropneustes fossilis

Author(s):  
Pooja Kumari ◽  
Mohit Kumar ◽  
Neeta Sehgal ◽  
Neerja Aggarwal
Author(s):  
Arti Kumari ◽  
Prashant Kumar ◽  
Manindra Kumar ◽  
Jainendra Kumar

Coronavirus disease 2019 (COVID–19) has spread rapidly as global pandemic affecting 187 countries/ regions and emerged as worldwide health crisis. Potential antiviral drugs used for the SARS -CoV-2 in clinical treatments have side effects. However, emergency vaccines are in use but despite that increase in the coronavirus cases are alarming. Thus, it is utmost need of safer antiviral agent to treat or inhibit the viral infection. Forskolin has been reported as a possible antiviral-agent. This molecule was docked with ACE2 receptor of human which is the target for the binding of S1 unit of viral S protein of SARS-CoV- 2. In silico docking was carried out on SwissDock, PatchDock and FireDock servers. The docked ACE2 structure was further docked with the RBD of the spike protein. Forskolin is able to H-bond with the hACE2 and ACE2-forskolin fails to interact with the receptor-binding domain (RBD) of the Spike protein of SARS-CoV-2. Instead, viral RBD is repulsed by the diterpene molecule through obliteration and reciprocated binding. We report first that forskolin plays a crucial role in the inhibition of protein-protein interaction of RBD and ACE2 when docked with either of the protein.


2004 ◽  
Vol 24 (14) ◽  
pp. 6127-6139 ◽  
Author(s):  
Kyeong-Hoon Jeong ◽  
William W. Chin ◽  
Ursula B. Kaiser

ABSTRACT The gonadotropin-releasing hormone receptor (GnRHR) is expressed primarily in the gonadotropes of the anterior pituitary. Pituitary homeobox 1 (Pitx-1) has been shown to activate pituitary-specific gene expression by direct DNA binding and/or protein-protein interaction with other transcription factors. We hypothesized that Pitx-1 might also dictate tissue-specific expression of the mouse GnRHR (mGnRHR) gene in a similar manner. Pitx-1 activated the mGnRHR gene promoter, and transactivation was localized to sequences between −308 and −264. Pitx-1 bound to this region only with low affinity. This region includes an activating protein 1 (AP-1) site, which was previously shown to be important for mGnRHR gene expression. Further characterization indicated that an intact AP-1 site was required for full Pitx-1 responsiveness. Furthermore, Pitx-1 and AP-1 were synergistic in the activation of the mGnRHR gene promoter. A Pitx-1 homeodomain (HD) point mutation, which eliminated DNA binding ability, caused only a partial reduction of transactivation, whereas deletion of the HD completely prevented transactivation. Pitx-1 interacted directly with c-Jun, and the HD was sufficient for this interaction. While the point mutation in the Pitx-1 HD did not affect interaction with c-Jun, deletion of the HD eliminated the interaction. Taken together, our studies indicate that Pitx-1 can direct transactivation of the mGnRHR gene, in part by DNA binding and in part by an action of Pitx-1 as a cofactor for AP-1, augmenting AP-1 activity through a novel protein-protein interaction between c-Jun and the HD of Pitx-1.


2016 ◽  
Vol 35 (11) ◽  
pp. 2485-2496 ◽  
Author(s):  
Mohd Ashraf Rather ◽  
Irfan Ahmad Bhat ◽  
Pravesh Kumar Rathor ◽  
P Gireesh-Babu ◽  
Aparna Chaudhari ◽  
...  

2020 ◽  
Vol 47 (6) ◽  
pp. 398-408
Author(s):  
Sonam Tulsyan ◽  
Showket Hussain ◽  
Balraj Mittal ◽  
Sundeep Singh Saluja ◽  
Pranay Tanwar ◽  
...  

2016 ◽  
Vol 94 (suppl_5) ◽  
pp. 223-224
Author(s):  
M. Gobikrushanth ◽  
P. A. Dutra ◽  
C. A. Felton ◽  
T. C. Bruinjé ◽  
M. G. Colazo ◽  
...  

2020 ◽  
Vol 27 (38) ◽  
pp. 6523-6535 ◽  
Author(s):  
Antreas Afantitis ◽  
Andreas Tsoumanis ◽  
Georgia Melagraki

Drug discovery as well as (nano)material design projects demand the in silico analysis of large datasets of compounds with their corresponding properties/activities, as well as the retrieval and virtual screening of more structures in an effort to identify new potent hits. This is a demanding procedure for which various tools must be combined with different input and output formats. To automate the data analysis required we have developed the necessary tools to facilitate a variety of important tasks to construct workflows that will simplify the handling, processing and modeling of cheminformatics data and will provide time and cost efficient solutions, reproducible and easier to maintain. We therefore develop and present a toolbox of >25 processing modules, Enalos+ nodes, that provide very useful operations within KNIME platform for users interested in the nanoinformatics and cheminformatics analysis of chemical and biological data. With a user-friendly interface, Enalos+ Nodes provide a broad range of important functionalities including data mining and retrieval from large available databases and tools for robust and predictive model development and validation. Enalos+ Nodes are available through KNIME as add-ins and offer valuable tools for extracting useful information and analyzing experimental and virtual screening results in a chem- or nano- informatics framework. On top of that, in an effort to: (i) allow big data analysis through Enalos+ KNIME nodes, (ii) accelerate time demanding computations performed within Enalos+ KNIME nodes and (iii) propose new time and cost efficient nodes integrated within Enalos+ toolbox we have investigated and verified the advantage of GPU calculations within the Enalos+ nodes. Demonstration data sets, tutorial and educational videos allow the user to easily apprehend the functions of the nodes that can be applied for in silico analysis of data.


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