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
Prediction of E8 mpox virus protein structure: a potential to design inhibitor
نویسندگان :
Mahsa Kazemi
1
Saeide Karimi
2
Maryam Kheirani nasab
3
Maryam Kazemi
4
Mahboobeh Nazari
5
1- دانشگاه علم و فرهنگ تهران
2- دانشگاه علم و فرهنگ تهران
3- دانشگاه علم و فرهنگ تهران
4- دانشگاه علم و فرهنگ تهران
5- پژوهشگاه ابن سینا
کلمات کلیدی :
Monkeypox virus (MPXV)،viral structure،E8،structural prediction
چکیده :
The World Health Organization (WHO) has classified the Monkeypox outbreak as a public health emergency due to the absence of specific therapeutic interventions for the Monkeypox Virus (MPXV). This virus is classified as a rare zoonotic pathogen within the Orthopoxvirus genus of the Poxviridae family. The entry of MPXV into host cells involves several key proteins. This study aims to perform a structural analysis of the E8 envelope protein, which plays a crucial role in the virus's pathogenesis and its ability to bind to host cells.(Martínez-Fernández, Fernández-Quezada et al. 2023) (Das, Bhattarai et al. 2024) (Lu, Xing et al. 2023) To investigate the structural properties of the E8 protein, including its amino acid composition and domain structure, various bioinformatics tools were employed, such as InterPro, ProtPram, and PSIPRED. For modeling the E8 protein of Monkeypox Virus (MPXV), we utilized SWISS-MODEL, Robetta, and AlphaFold. Analysis of the generated models revealed that the AlphaFold model provided the most accurate representation of the E8 protein and may serve as a foundational framework for future drug design efforts..
لیست مقالات
لیست مقالات بایگانی شده
Common genes and pathways involved in prediabetes and diabetes using bioinformatics analysis
Ali reza Morovat - Kiarash Zare - Matin Sepehrinia - Mohammad mehdi Naghizadeh
Designing Anti-Cancer Peptides Using Bioinformatics to Inhibit Survivin, Disrupt Cell Division, and Trigger Apoptosis in Cancer Cells
Seyedeh Fatemeh Ahmadi - Hamidreza Samadikhah - Seyed Shahriar Arab
Accelerating Diffusion-Based Graph Generative Models for De Novo Drug Design via Hessian Trace Approximation
Negin Bagherpour - AmirHossein Heidari - Alireza Fotouhi Siahpirani
Validation of Prognostic Biomarkers in Pancreatic Cancer Through Multi-Dataset Analysis and Pathway Enrichment
Ana Roohani - Somayeh Reiisi
ATIC as a Theranostic Biomarker in Gastrointestinal Cancers: Insights from Autophagy Pathway Analysis
Pooya Jalali - Maryam Eghbali - Zahra Eghabli - Yasaman Gholinezhad - Zahra Salehi
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
Investigating hsa-miR-146b and Its Targets TRAF6 and IRAK1 In Gastric Cancer Using Bioinformatic Tools
Ali Nosrat - Vahid Asghariazar - Elham Safarzadeh
Discovery of effective markers in the severity of the disease in the genome of Iranian patients with covid-19 and introduction of an effective plant in controlling the severity of the disease
Fariba Esmaeili - Dariush Salimi
Using structural controllability to analyze signaling pathways and PPI networks for the identification of therapeutic targets in colorectal cancer
Zoha RashidiPour - Farinaz Roshani
Structural and Biochemical Insights into Single-Stranded DNA-Binding Protein Complexes: A Comparative Study of DnaT, DnaBC, and Pab-RPA
Arshia Jahangiri - Maryam Azimzadeh Irani - Aida Arezoumandchafi
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.5.0