0% Complete
صفحه اصلی
/
4th international edition and 13th Iranian Conference on Bioinformatics
Identification of potent antiviral from the fungal metabolites against SARS COV-2 RdRp: An in silico study
نویسندگان :
Zohreh Sahhaf Razavi
1
Ali Ramazani
2
Armin Zarei
3
1- دانشگاه زنجان
2- دانشگاه زنجان
3- دانشگاه زنجان
کلمات کلیدی :
COVID-19،fungal Secondary metabolite،Protein structure،Molecular modeling
چکیده :
Antiviral drugs target viral polymerases and are responsible for regulating viral replication. It is their selectivity that also allows the development of selective inhibitors, which, for example, may as much interfere with viral replication while causing minimum derogation to host cellular functions.(Choi 2012, Peng, Wang et al. 2022)This study investigated the antiviral potential of 174 fungal secondary metabolites from the order Sordariales (Charria-Girón, Surup et al. 2022), specifically on their ability to inhibit the SARS-CoV-2 RNA-dependent RNA polymerase (RdRp), an aspartyl polymerase.(Gao, Yan et al. 2020, Malone, Urakova et al. 2022) Following the blind docking step, which found 56 ligands attached to the active site, the target docking revealed that 10 ligands had binding energy <-7 kcal/mol. This was the first step in the two-part virtual screening process. In the Second step, ligands 1-3 showed the highest binding energy to the active site. The reference ligand (ribavirin) has lower binding affinities than ligands 1–3. In Lig-3, the strongest interaction was seen. These are connected with important catalytic motifs through hydrophobic and hydrogen bonding interactions, which may prevent polymerase activity and hinder viral propagation.(Ansari, Zarei et al. 2023) The impact of these ligands on polymerase dynamics and structure was then examined using 100 nanosecond (ns) MD simulations.(Van Gunsteren and Berendsen 1988, Lindahl, Hess et al. 2001, Schüttelkopf and Van Aalten 2004, Genheden and Ryde 2015) Lig-1 and Lig-3 caused further structural compressions in SARS-CoV-2 that might destabilize the enzyme. Overall, Lig-3 exerted the most conspicuous impact on polymerase, holding a higher potential for viral replication inhibition than Ribavirin.Lig-3 is a promising antiviral candidate against SARS-CoV-2 RdRp and merits more preclinical investigation due to its favorable ADME/T profile. The enhancement of the pharmacological properties of these candidates will require a combination of in silico modeling with experimental validation. Lig-3 will be going from bench to bedside, with deep understanding fostered by continuous studies in structural biology, to become a great candidate against SARS-CoV-2 and other viral menaces.
لیست مقالات
لیست مقالات بایگانی شده
Identification of potential RNA interference targets in bladder cancer through bioinformatics approaches
Sana Sajjadi - Mohammad ali Takhshid
Identification of Antigenic Proteins of Acinetobacter baumannii as Potential Novel Vaccine Candidates Through a Reverse Vaccinology Approach
Amirhossein Ghadiri - Abbas Doosti - Mostafa Shakhsi-Niaei
Bioinformatics studies on S35K mutation on Mnemiopsin 2 photoprotein
ََAmirReza Mohammadi - Vahab Jafarian - Fatemeh Khatami
Prediction of E8 mpox virus protein structure: a potential to design inhibitor
Mahsa Kazemi - Saeide Karimi - Maryam Kheirani nasab - Maryam Kazemi - Mahboobeh Nazari
HLA Class I Alleles as prognostic marker in Hepatocellular Carcinoma
Shahram Aliyari - Zahra Salehi - Mohammad Hossein Norouzi-Beirami - Kaveh Kavousi
New inhibitors of the Toxoplasmosis by in-silico drug repurposing
Milad Jaberi - Masoud Aliyar - Mosleh Kadkhodamohammadi - Parva Karimimousivandi
A Fuzzy Bayesian Network Model for Personalized Diabetes Risk Prediction: Integrating Lifestyle, Genetic, and Environmental Factors
Lida Hooshyar - Nadia Tahiri
Dysregulated genes in the fat tissue of children confer a risk of cancer
Armita Kakavand Hamidi - Mahsa Mohammad Amoli
Single-Cell Transcriptomic Analysis Reveals Cellular Heterogeneity and Molecular Markers in Acute Leukemia Subtypes
Fatemeh Mohagheghian - Zahra Salehi - Najmeh Salehi
Machine-learning based biomarker discovery for Striga resistance in sorghum
Leyla Nazari - Afshar Estakhr
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.7.0