0% Complete
the 4th international edition and 13th Iranian Conference on Bioinformatics
international edition and Iranian Conference on Bioinformatics
صفحه اصلی
/
4th international edition and 13th Iranian Conference on Bioinformatics
Molecular docking study of some herbal compounds as potential inhibitors of SARS-CoV-2 spike receptor
نویسندگان :
Mohammad Satari
1
Alireza Karami
2
Samin Saleh
3
1- Malayer University
2- Malayer University
3- Malayer University
کلمات کلیدی :
SARS-CoV-2 virus،Receptor binding domain (RBD)،Flavones،Molecular docking
چکیده :
In 2019, the SARS-CoV-2 virus spread throughout the world, and many communities are still affected by this disease. Due to the severe complications and widespread mortality of this pandemic, the discussion of treatment and production of effective drugs and vaccines for this virus quickly became important. Among the various treatment methods, scientists and researchers paid special attention to treatment using substances of natural and plant origin. Flavones are a group of flavonoids that are present in many plants and have attracted attention for the treatment of various diseases due to their biological activities, such as antioxidant and antiviral properties. The aim of this study is to investigate the inhibitory effect of a number of flavone compounds on SARS-CoV disease through the interaction of these compounds with the second receptor binding domain (RBD) of the SARS-COV-2 virus spike protein, using molecular docking. For this purpose, the structures of the studied compounds (Quercetin, Asagin, Tetrandrine, Dehydromyristin) and the Covid protein were extracted from the PDB and PubChem databases. Then, the chemical and physical properties of the mentioned compounds were predicted by i-Tasser and Ligplot+ software. Autodock4, VMD, Discovery Studio software were used to perform molecular docking. The compounds were examined in terms of Lipinski's law and physicochemical conditions using the SweesADME.ch database. Then, using molecular docking software, the docking score of the interaction of the compounds with the receptor on the virus surface was examined. The results obtained showed that among the four compounds, the flavone compound of Asajin had better binding and interaction conditions than the other compounds due to following Lipinski's laws and appropriate physicochemical factors. As a result, after in vitro and in vivo studies on this compound, they can be proposed as a viral inhibitor
لیست مقالات
لیست مقالات بایگانی شده
Study population structure in Iranian Arab horse breed by principal component analysis (PCA) and discriminant analysis of principal components (DAPC) methods using genomic data
Behkam Teymori - Hossein Moradi sharbabak - Mohammad Moradi sharbabak - Mohammad Bagher Zandi - Alireza Fotuhi Siahpirani
A Computational Approach to Identify Potent Inhibitors of Janus Kinase 1 from Natural Products: Structure-Based High-Throughput Virtual Screening and LightGBM Classifier.
Parisa Valipour
Investigating the role of ursolic acid in EGFR L858R mutant inhibition in non-small cell lung cancer: Molecular docking and ADMET prediction
Tooba Abdizadeh
In Silico Design of a Chimeric Protein-Based Vaccine Against Salmonella Typhi: A Bioinformatics and Immunoinformatics Approach
Seyed Alireza Khoshuie-Esfahani - Neda Soleimani - Mohammad Yaghoubi-Avini - Mohsen Bidar Ajerloo
Exploring the interaction between hsa-miR-122-5p and CDC25A gene in Breast carcinoma progression via computational analysis
Sara Seyed Shazileh
Enhancing the Clustering and Sorting Procedures in the MAGUS Method for Multiple Sequence Alignment
Masih Hajsaeedi - Mohsen Hooshmand
Investigation of the interaction between 2-aminothiazole and bovine serum albumin (BSA), using the methods of molecular docking calculations and density functional theory (DFT)
Forough Pakzadi - Yaghub Pazhang - Ebrahim Nemati-Kande
Physical parametric study of bacterial biofilm disruption and removal by jet impingement: A CFD investigation
Fatemeh Ebrahimi Tarki - Mahboobeh Zarrabi - Mahkame Sharbatdar - Ahya Abdi Ali
DTMP-Prime: A Deep Transformer-based Model for Predicting Prime Editing Efficiency and PegRNA Activity
Roghayyeh Alipanahi - Leila Safari - Alireza Khanteymoori
3D modeling of the spike protein in the Omicron variant of the coronavirus and comparison with the Delta and Wuhan strains
Ali Abolhasanzadeh Parizi
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.5.0