0% Complete
صفحه اصلی
/
4th international edition and 13th Iranian Conference on Bioinformatics
The inquiry of possible new candidates of inhibitors for Type IV pili of Neisseria gonorrhoeae using Molecular Docking analysis
نویسندگان :
Hannaneh Damavandinia
1
Kosar Feyzbakhsh
2
Zahra Golshahi
3
Elnaz Afshari
4
1- دانشگاه آزاد اسلامی واحد تهران مرکزی
2- دانشگاه آزاد اسلامی واحد تهران مرکزی
3- دانشگاه آزاد اسلامی واحد تهران مرکزی
4- دانشگاه آزاد اسلامی واحد تهران مرکزی
کلمات کلیدی :
Molecular Docking،Neisseria gonorrhoeae،Type IV pilin،ADME
چکیده :
Introduction There are several complications in women associated with the Neisseria gonorrhoeae infection, such as infertility, cervicitis, ectopic pregnancy, and urethritis, which is a common sexually transmitted infection worldwide (Vaezzadeh et al., 2023). One of the main virulence factors of Neisseria gonorrhoeae is type IV pili, which is responsible for the adhesion, mobility, and pathogenesis of this bacterium (Jacobsen et al., 2020). The rising prevalence of multi-drug resistant Neisseria strains necessitates the exploration of alternative strategies, such as inhibiting this virulence factor and the bacterium's ability to adhere to host cells. This approach presents a promising avenue for the prevention of diseases associated with this pathogen. Therefore, in this study, we aimed to identify the most potent inhibitory ligand for the pili as a potential drug candidate through molecular docking analysis. Material and Methods The 3D structure of the type IV pilin of Neisseria gonorrhoeae was extracted from the RCSB PDB database (PDB ID: 2HI2). The inhibitory ligand of pilin, methyl (2S)-2-amino-3-phenylpropanoate (methyl L-phenylalaninate) with PubchemCID 736234, and a total of its 20 analogs was retrieved from the PubChem database in SDF format. After preparing the protein and its ligands by eliminating the ligand and water from the protein, lowering the energy level, and adding electric charges and hydrogen atoms, molecular docking was conducted using Virtual Docker Molegro v. 6. Subsequently, the best interaction with the lowest energy binding was analyzed using Molegro Molecular Viewer software. Finally, the pharmacokinetic properties of the ligand were investigated using the SwissADME server. Results and Conclusion Among all the inhibitory ligands of pilin, the best ligand was (2S)-N-(3-fluorophenyl)-2-(3-phenoxyphenyl)-1,3-thiazolidine-3-carboxamide with the molecular weight of 394.12 g/mol, and binding energy of -71.2257 kcal/mol. This ligand formed one Hydrogen bond with Arg152, along with 2 steric interactions involving Arg 152 and Gln 123 residues. The ADME results demonstrated a water solubility score (LogS) of -4.965, the hydrophilic score (LogP) of 4.029, the polarity score (TPSA) of 41.57, and in conclusion the hydrogen bond donors of 4 and hydrogen bond acceptor of 1. Based on the obtained results, (2S)-N-(3-fluorophenyl)-2-(3-phenoxyphenyl)-1,3-thiazolidine-3-carboxamide (PubChem CID: 1025301) demonstrated the best interaction with the lowest energy binding with type IV pilin, and good Druglikeness properties which it may serve as an inhibitor candidate for type IV pilin of Neisseria gonorrhoeae, although further in vivo and in vitro analysis are necessary.
لیست مقالات
لیست مقالات بایگانی شده
Fluidity of normal and cancer cell membranes: A molecular dynamics investigation
Elahe Hoseinnia - Mahboobeh Zarrabi
Comprehensive Multi-Omics Analysis Reveals NPC2 and ITGAV Genes as Potential Prognostic Biomarkers in Gastrointestinal Cancers
Mohammad Reza Zabihi - Moein Piroozkhah - Pooya Jalali - Zahra Salehi
Molecular Interactions Between Vitiligo and Thyroid Diseases: Identification of Hub Genes, Pathways and Therapeutic miRNAs
Fatemeh Akbarzadeh-Ebrahimi
Identifying the expression profile of genes involved in human brain development using transcriptome data
Amirhosein Akhoondi - Mostafa Rafeipour - Farinaz Behfarjam
S100a9 might act as a modulator of the Toll-like receptor 4 transduction pathway in chronic rhinosinusitis with nasal polyps
Nasibeh Khayer - Maryam Jalesssi
Investigating the Role of EMT genes in Multiple Myeloma: A Bioinformatic Approach
Seyedeh Zahra Mousavi - Hamid Mahdizadeh - Mehdi Totonchi
Improved COVID‐19 Diagnosis Using a Hybrid Transfer Learning Model with Fuzzy Edge Detection on CT Scan Images
Hassan Salarabadi - Mohammad Saber Iraji - Mehdi Salimi - Mehdi Zoberi
Identification of Therapeutic Biomarkers in Patients with Rheumatoid Arthritis Treated with Methotrexate
Narges Yaghoobi - Tannaz Araei - Sara Abedi - Mohsen Goharinia - Mohammad Mehdi Naghizadeh
Identifying Key Genes, miRNAs, and lncRNAs in Lennert Lymphoma Through Comprehensive Network Analysis of Diverse Omics Data
Fatemeh Shadvar
Orthology inference at scale with FastOMA
Sina Majidian - Yannis Nevers - Ali Yazdizadeh Kharrazi - Christophe Dessimoz
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 40.4.1