scholarly journals In Silico Protein- Protein Interaction of Pteoris Volitans Venom With Cancer Inducers of Helicobacter Pylori

2021 ◽  
Author(s):  
Guru Nivetha Ravi ◽  
Sneha Unnikrishnan ◽  
Irfan Navabshan ◽  
Karthikeyan Ramalingam
Keyword(s):  
Gastric Cancer ◽  
Helicobacter Pylori ◽  
In Silico ◽  
Pathological Condition ◽  
Bioactive Compound ◽  
Docking Study ◽  
In Silico Docking ◽  
Protein Protein Interaction ◽  
Anticancer Properties ◽  
Venom Proteins

Abstract Gastric cancer is a pathological condition induced by bacteria Helicobacter pylori. Targeting the key virulence factors of H.pylori causing gastric cancer is one such promising method for treating gastric cancer. Recently research has been focussed on analysing the adrenergeric, cholinergeric and anticancer properties of their venom proteins. Testing the anticancer activity of the lethal proteins in the venom of P.volitans not only provides a bioactive compound for cancer treatment but is also helpful to eliminate the ecological imbalance caused by this fish in marine environment. This study is focused on an in silico approach using Z-dock for analysing the bioactive prospective of the venom proteins of P.volitans against the key virulence proteins of H.pylori responsible for inducing cancer. Our in silico docking study using computational model of the venom proteins and H.pylori proteins has displayed the possible interactions between these proteins. The results revealed that the venom proteins of P.volitans hyaluronidase and PV toxin a effectively interacts with H.pylori proteins Cag A, Cag L, GGT, Cag D and Urease and may be promising proteins in cancer therapy.

Hetero-Tricyclic Lead Scaffold as Novel PDE5A Inhibitor for Antihypertensive Activity: In Silico Docking Studies

2019 ◽  
Vol 15 (4) ◽  
pp. 318-333
Author(s):  
Dipak P. Mali ◽  
Neela M. Bhatia
Keyword(s):  
In Silico ◽  
Docking Study ◽  
Docking Studies ◽  
Antihypertensive Activity ◽  
In Silico Docking ◽  
Π Stacking ◽  
Π Stacking Interaction ◽  
Nitrogen Heteroatom ◽  
Inhibitory Potential ◽  
Vlife Mds

Objective:To screen the phytochemicals for phosphodiesterase 5A (PDE5A) inhibitory potential and identify lead scaffolds of antihypertensive phytochemicals using in silico docking studies.Methods:In this perspective, reported 269 antihypertensive phytochemicals were selected. Sildenafil, a PDE5A inhibitor was used as the standard. In silico docking study was carried out to screen and identify the inhibiting potential of the selected phytochemicals against PDE5A enzyme using vLife MDS 4.4 software.Results:Based on docking score, π-stacking, H-bond and ionic interactions, 237 out of 269 molecules were selected which have shown one or more interactions. Protein residue Gln817A was involved in H-boding whereas Val782A, Phe820A and Leu804A were involved in π-stacking interaction with ligand. The selected 237 phytochemicals were structurally diverse, therefore 82 out of 237 molecules with one or more tricycles were filtered out for further analysis. Amongst tricyclic molecules, 14 molecules containing nitrogen heteroatom were selected for lead scaffold identification which finally resulted in three different basic chemical backbones like pyridoindole, tetrahydro-pyridonaphthyridine and dihydro-pyridoquinazoline as lead scaffolds.Conclusion:In silico docking studies revealed that nitrogen-containing tetrahydro-pyridonaphthyridine and dihydro-pyridoquinazoline tricyclic lead scaffolds have emerged as novel PDE5A inhibitors for antihypertensive activity. The identified lead scaffolds may provide antihypertensive lead molecules after its optimization.

scholarly journals ANTI-PARKINSON POTENTIAL OF PERSEA AMERICANA SEED EXTRACTS THROUGH IN-SILICO DOCKING STUDY

2020 ◽  
pp. 152-155
Author(s):  
RACHAEL EVANGELINE ◽  
NIHAL AHMED
Keyword(s):  
Binding Energy ◽  
Hydrogen Bonds ◽  
In Silico ◽  
Water Extract ◽  
Docking Study ◽  
Persea Americana ◽  
Ligand Docking ◽  
Docking Analysis ◽  
In Silico Docking ◽  
Free Binding Energy

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.

scholarly journals In silico docking analysis of selective bioactive compounds of Phyllanthus acidusaqueousfruit extractagainst MAPK1

Biomedicine ◽  
2021 ◽  
Vol 41 (2) ◽  
pp. 349-357
Author(s):  
E. Padmini ◽  
M. Kavitha
Keyword(s):  
Binding Energy ◽  
Cell Survival ◽  
Bioactive Compounds ◽  
In Silico ◽  
Docking Study ◽  
Mitogen Activated Protein Kinase ◽  
Molecular Docking Study ◽  
Ligand Complex ◽  
In Silico Docking ◽  
Methyl Prednisolone

Introduction and Aim: Phyllanthus acidus L.Skeels (Family: Phyllanthaceae) or Star Gooseberry which bears small, edible, juicy, sour, yellow berries fruit is known as a “liver tonic” in ayurvedic medicine. However, the behavior of the plant fruit or its constituents in cell apoptosis/cell survival is unknown. Hence, the purpose of thepresent study was to perform an in silico docking of selective bioactive compounds of aqueous extract of fruit of P.acidus (PAFAE) against MAPK1. Mitogen activated protein kinase is a family of serine threonine specific protein kinases- MAPK1/ERK1/2, JNK1-3, p38MAPK and ERK5.Activation ofMAPK1 promotes cell survival in certain tissues by inhibiting proapoptotic proteins and by stimulating anti apoptotic factors.   Methodology: In silico docking studies was carried out using bioinformatics tools.The active compounds (Trihomovitamin D3; 2Z,6Z,8Z,12E Hexadecatetraenoic acid, Methyl prednisolone, Hydroxysalmeterol and Tridesacetoxykhivorin) ofP.acidus aqueous fruit extract were docked against MAPK1 resulting in receptor-ligand complex.   Results: The binding energy is correlated with the probability of affinity and stable bound between ligand and its receptor.   Conclusion: The molecular docking study of selective bioactive compounds of PAFAE with MAPK1 protein revealed that Tridesacetoxykhivorinand Methyl Prednisolone, is having good interaction in favorable pose with MAPK1 as shownfrom theireffective binding energy(-7.79kcal/mol and -7.19 kcal/mol), strong bond length and interactions with active site of MAPK1.

In silico Docking Study of Some Coumarin Derivatives as Potential Inhibitors on Different Dengue Viral Proteins

2019 ◽  
Vol 70 (9) ◽  
pp. 3387-3391
Author(s):  
Gabriela Tataringa ◽  
Balasubramanian Sathyamurthy ◽  
Ion Sandu ◽  
Ana Maria Zbancioc
Keyword(s):  
Virtual Screening ◽  
Dengue Virus ◽  
In Silico ◽  
Viral Proteins ◽  
Docking Study ◽  
Binding Activity ◽  
Coumarin Derivatives ◽  
In Silico Docking ◽  
Potential Inhibitors ◽  
Hybrid Derivative

In this study, the binding efficiency of 10 coumarin derivatives with some selected proteins from Dengue virus through in silico method was done. By virtual screening and docking results, we have found that the hybrid derivative between coumarin and isatin has the most convenient binding activity for the seven selected proteins.

scholarly journals Design and In Silico Study of the Novel Small Molecular MDM2 Inhibitors

2020 ◽  
Vol 11 (1) ◽  
pp. 8052-8064
Keyword(s):  
Protein Interaction ◽  
In Silico ◽  
P53 Protein ◽  
Docking Study ◽  
Rational Approach ◽  
The Novel ◽  
Molecular Docking Study ◽  
Protein Protein Interaction ◽  
In Silico Study ◽  
Cancer Agent

Protein-protein Interaction (PPIs) plays a central role in many diseased conditions. Therefore to target and to modulate PPIs is an efficient approach for the disease treatment. Cancer is also arising because of Protein-protein interaction. In cancer, the tumor suppressor p53 protein got inhibited by the MDM2 protein. p53 protein regulates the cell cycle and apoptosis. Interaction between the p53-MDM2 proteins is responsible for the inhibition of the p53 function. By this interaction, MDM2 degrades and inhibits the p53 protein. Hence, to target and inhibit the p53-MDM2 interaction for the treatment of cancer is the rational approach. By targeting this interaction with the drugs, we can selectively kill the cancer cells over the normal cells. Recently, p53-MDM2 interaction inhibitor drugs have been reported by many researchers and pharmaceutical companies. And several drugs entered into the clinical trials. In this study, a novel 1,2,4-triazole based molecules were designed as MDM2 inhibitors and performed their in-silico study. We designed the novel compound 01 and Lead 1a. In this work, In silico study of the Lead 1a and reference compounds (Nutlin 3a, RG7112) was carried out. The molecular docking study of the Novel 1,2,4-triazole based lead 1a and reference compounds was carried out. The docking score of the Lead 1a found to be better than Nutlin 3a and close to RG7112. The various possible conformations and binding affinity values were also determined by the docking study. These results indicate the Lead 1a as a potential MDM2 inhibitor and anti-cancer agent.

Phytobiological Investigation and In Silico Docking Study of Secondary Metabolites from Saussurea lappa Roots

2022 ◽  
Vol 7 (2) ◽  
Author(s):  
Mahmoud Moustafa ◽  
Mona G. Zaghloul ◽  
Mohamed A. Sabry ◽  
Walaa S. Aboelmaaty ◽  
Refaat B. Hamed ◽  
...  
Keyword(s):  
Secondary Metabolites ◽  
In Silico ◽  
Docking Study ◽  
In Silico Docking ◽  
Saussurea Lappa
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