0% Complete
صفحه اصلی
/
4th international edition and 13th Iranian Conference on Bioinformatics
Computational study on the inhibitory potential of fungal metabolites against HIV-1 RT
نویسندگان :
Zohreh Sahhaf Razavi
1
Ali Ramazani
2
Armin Zarei
3
1- دانشگاه زنجان
2- دانشگاه زنجان
3- دانشگاه زنجان
کلمات کلیدی :
HIV-1 RT،fungal metabolites،Protein structure،Molecular dynamics
چکیده :
The main target in creating antiviral drugs is viral polymerase, which is the center of viral replication. Research and development strategies for new antiviral drugs due to the increasing cost of drug research and development, random screening strategies of traditional drugs, and blind optimization of lead compounds consume a lot of resources and time. In recent years, new research strategies have been developed, including the use of natural fungal compounds. (Tsai, Lee et al. 2006, Choi 2012, Peng, Wang et al. 2022) Fungi of the order Sordariales belong to the phylum Ascomycota and are well-known producers of diverse secondary metabolites with significant environmental and biomedical importance. Secondary metabolites from this group exhibit various biological activities, including antimicrobial, antiviral, anticancer, and enzyme inhibition properties. Also, taking advantage of the potential of fungal secondary metabolites, it was decided to evaluate the inhibitory potency of 174 secondary metabolites from species of the order Sordariales against aspartyl viral polymerases, including HIV-1 reverse transcriptase (RT).(Hu and Hughes 2012, Charria-Girón, Surup et al. 2022, Nzimande, Makhwitine et al. 2023, Zhao, Wang et al. 2023) According to two-step virtual screening, ten of the 56 ligands that bind to the active center of the polymerase under investigation with autodock vina had an energy of -7 kcal/mol or less. In the next step, which was performed using autodock 4.2.6, only three ligands, 1 to 3, had the highest binding energy compared to ribavirin (reference drug).(Tarasova, Poroikov et al. 2018) The most significant interaction between hydrogen bonds and basic catalytic motifs, mediated by hydrophobic contacts, has been specifically shown by ligand 3. This implies that inhibiting the action of this enzyme can prevent viral multiplication, highlighting the potential applications of our findings and paving the way for the creation of novel antiviral medications. Further assessment was done to analyze how these ligands affected such polymerases in structure and dynamics through a molecular dynamics simulation of 100 nanoseconds.(Lindahl, Hess et al. 2001, Schüttelkopf and Van Aalten 2004) HIV-1 RT polymerase underwent considerable structural alterations upon binding to ligands 1 and 3, severely limiting its flexibility and functioning. Overall, ligand 3 was more effective than ribavirin at inhibiting viral replication and had the greatest impact on the polymerase. In addition, ligand 3 showed a promising profile of ADME/T, further supporting the fact that this compound could be a promising candidate for anti-HIV-1 RT activity and recommending its further preclinical exploration. The promising profile of ligand 3 instills confidence in its potential for antiviral drug development.
لیست مقالات
لیست مقالات بایگانی شده
Fully Convolutional Neural Networks for Volumetric Segmentation of Ultrasound Images: An Effective Tool for Automated Estimation of Fetal Head Circumference
Seyed Vahab Shojaedini - Mohammad Momenian
Curcumin’s Journey Through Cellulose: Binding Dynamics Across Cellulose-derived Bio-Nanofibers
Ayla Esmaeilzadeh - Maryam Azimzadeh Irani - Mehdi Jahanfar - Naser Farrokhi
Investigation and comparison of TYDC2 gene expression in different tissues (root, leaf, capsule and petal) of medicinal plant poppy (Papaver somniferum L.) in terms of bioinformatics
Nazila Bagheri - Alireza Tarinejad - Mohammad Majidi - Karim Hasanpour
Identifying mRNAs and miRNAs in extracellular vesicles through comparative transcriptome analyses of healthy and mastitic bovine milk
Farzad Ghafouri - Seyed Midia Pirkhezranian - Mostafa Sadeghi - Seyed Reza Miraei-Ashtiani - John P. Kastelic - Herman W. Barkema - Vahid Razban - Masoud Shirali
Drug reproposing for brain cancer
Zahra Shahini - Farinaz Roshani
Bioinformatics investigation of the structure and function of photoprotein mnemiopsin2 following Glutamine 23 substitutions using a site-directed mutagenesis
Zahra Karimi Takaromi - Vahab Jafarian - Amir Dehghani - Khosrow Khalifeh - Fateme Khatami
Development of Novel Cellulose Crystal-Hyaluronic Acid Anti-Cancer Carriers for Targeting
Yeganeh Abbasian Bajgiran - Maryam Azimzadeh Irani
A Transformer-based Model for Diagnosis of Multiple Sclerosis using MRI Images
Elham Bagheri - Leila Safari
Designing Guide RNAs Considering Essential Genes for Genome Editing of Yarrowia lipolytica Using Deep Learning in the CRISPR System
Zahra Vahdani - Farshad Darvishi - Fatemeh Zare-Mirakabad
A computational approach to identify the biomarker based on the RNA sequencing data analysis for Alzheimer’s disease
Atena Vaghf - Shahram Tahmasebian - Nayereh Abdali
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 40.4.1