Assessment of non-covalent interaction between insulin and some antibiotics in aqueous solution through ultrasonic studies and in silico docking analysis

2016 ◽  
Vol 224 ◽  
pp. 1131-1141
Author(s):  
A. Justin Adaikala Baskar ◽  
A. Kulanthaisamy ◽  
D. Roop Singh ◽  
V. Kannappan
2018 ◽  
Vol 52 ◽  
pp. 178-188 ◽  
Author(s):  
Selma Mahiout ◽  
Sara Giani Tagliabue ◽  
Atefeh Nasri ◽  
Iyekhoetin Matthew Omoruyi ◽  
Lars Pettersson ◽  
...  

Author(s):  
RACHAEL EVANGELINE ◽  
NIHAL AHMED

Objective: The aim of this study is to investigate the potential of Persea americana extracts for their Anti-Parkinson application through an in-silico docking study. Methods: PubChem and protein data bank databases were used to retrieve 3D structures. AutoDock4 was used to perform protein-ligand docking analysis. PyMOL was used to visualize the docking results. Results: Among the 30 ligand, the highest affinity was demonstrated by Hesperidin with a free binding energy of −6.8 kcal/mol and formation of five hydrogen bonds. The second highest significance was demonstrated by Biphenyl 4-(4-diethylaminobenzylidenamino) with a free binding energy of −5.9 kcal/mol with the formation of 2 hydrogen bonds. Among the three sets of phytochemicals from different solvent extracts, water extract demonstrated the highest potential as Anti-Parkinson active. Conclusion: P. americana extracts were analyzed for their Anti-Parkinson potential, and among the three extracts, the aqueous extract was predicted to have significant Anti-Parkinson potential, based on in silico docking analysis, due to the presence of active phytochemicals such as Hesperidin and others.


PLoS ONE ◽  
2015 ◽  
Vol 10 (7) ◽  
pp. e0133141 ◽  
Author(s):  
Marcin A. Listowski ◽  
Jacek Leluk ◽  
Sebastian Kraszewski ◽  
Aleksander F. Sikorski

2014 ◽  
Vol 24 (1) ◽  
pp. 124-130 ◽  
Author(s):  
Rangachari Balamurugan ◽  
Antony Stalin ◽  
Adithan Aravinthan ◽  
Jong-Hoon Kim

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