scholarly journals Computational Molecular Docking Analysis and Visualisation of Anthocyanins for Anticancer Activity

Author(s):  
Mahankali Sravani ◽  
Akash Kumaran ◽  
Aditi Tulshiram Dhamdhere ◽  
Nachimuthu Senthil Kumar

Various invitro and computational methods were implemented to evaluate the anticancer potential of anthocyanidins, namely cyanidin, malvidin, delphinidin, peonidin, pelargonidin, and petunidin. These anthocyanidins were docked with CDK-2, CDK-6 and IGF-1R kinase proteins. Additionally, known inhibitors (KIs) such as SU9516, Palbociclib, OSI-906 are compared with their respective macromolecules, including, CDK-2, CDK-6 and IGF-1R kinase, in to compare results of the study based on Lipinski rule of 5.  The Auto Dock Tool (Autodock 4) was used for molecular docking, and the docked complex compounds were visualised and interpreted using the Bio via Discovery Studio 2020 client. The Docking results obtained showed a very good inhibitory binding to almost all the selected cancer proteins, and these compounds might be a potential drug molecule.

2020 ◽  
Vol 27 (12) ◽  
pp. 3327-3333
Author(s):  
Jesudass Joseph Sahayarayan ◽  
Kulanthaivel Soundar Rajan ◽  
Mutharasappan Nachiappan ◽  
Dhamodharan Prabhu ◽  
Ravi Guru Raj Rao ◽  
...  

2021 ◽  
pp. 130865
Author(s):  
Kotyada Suryanarayana ◽  
Alice Rinky Robert ◽  
Nagaraju Kerru ◽  
Thangaiyan Pooventhiran ◽  
Renjith Thomas ◽  
...  

2021 ◽  
pp. 73-89
Author(s):  
Sheikh Arslan Sehgal ◽  
Rana Adnan Tahir ◽  
Muhammad ` Waqas

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yi Qian ◽  
Xin Sun ◽  
Xin Wang ◽  
Xin Yang ◽  
Mengyao Fan ◽  
...  

Objective. To systematically study the mechanism of cordyceps cicadae in the treatment of diabetic nephropathy (DN) with the method of network pharmacology and molecular docking analysis, so as to provide theoretical basis for the development of new drugs for the treatment of DN. Methods. TCMSP, Symmap, PubChem, PubMed, and CTD database were used to predict and screen the active components and therapeutic targets for DN. The network of active components and targets was drawn by Cytoscape 3.6.0, the protein-protein interaction (PPI) was analyzed by the STRING database, and the DAVID database was used for the enrichment analysis of intersection targets. Molecular docking studies were finished by Discovery Studio 3.5. Results. A total of 36 active compounds, including myriocin, guanosine, and inosine, and 378 potential targets of cordyceps cicadae were obtained. PPI network analysis showed that AKT1, MAPK8, and TP53 and other targets were related to both cordyceps cicadae and DN. GO and KEGG pathway analysis showed that these targets were mostly involved in R-HSA-450341, 157.14-3-3 cell cycle, and PDGF pathways. Docking studies suggested that myriocin can fit in the binding pocket of two target proteins (AKT1 and MAPK8). Conclusion. Active ingredients of cordyceps cicadae such as myriocin may act on DN through different targets such as AKT1, MAPK8, and TP53 and other targets, which can help to develop innovative drugs for effective treatment of DN.


2019 ◽  
Vol 88 ◽  
pp. 102950 ◽  
Author(s):  
Gülşah Karakaya ◽  
Aslı Türe ◽  
Ayşe Ercan ◽  
Selin Öncül ◽  
Mutlu Dilsiz Aytemir

2021 ◽  
Vol 59 (1) ◽  
pp. 943-954
Author(s):  
Perwez Alam ◽  
Rama Tyagi ◽  
Mohammad Abul Farah ◽  
Md. Tabish Rehman ◽  
Afzal Hussain ◽  
...  

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