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
New inhibitors of the Toxoplasmosis by in-silico drug repurposing
نویسندگان :
Milad Jaberi
1
Masoud Aliyar
2
Mosleh Kadkhodamohammadi
3
Parva Karimimousivandi
4
1- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
2- Faculty of Science, Golestan university, Shahid Beheshti Street, Gorgan, Golestan province, Iran
3- 2. Faculty of Medicine, Central Building, Tabriz University of Medical Sciences, University Street, Tabriz, Iran
4- 3. Friedrich Schiller University Jena, faculty of sciences, Fürstengraben 1, 07743 Jena, Germany
کلمات کلیدی :
Toxoplasma Gondii،Drug repurposing،Docking،Molecular Dynamics
چکیده :
Introduction: The common treatment for toxoplasmosis was pyrimethamine. It has been noticed in recent years that this parasite becomes resistant to this treatment and it thus needs immediate alternative therapies. Materials and Methods: In this study, using drug re-purposing and in silico methods we tried to make selective treatment by inhibiting the Calcium-Dependent Protein Kinase 1 from Toxoplasma gondii which does not exist in mammalians. We screened the FDA approved drugs by molecular docking and, after ranking them by their binding energies and inspecting the top scoring ones, we selected Cefpiramide, Ceftriaxone and Cefotiam as the hit compounds. Afterwards, we used molecular dynamic simulations to evaluate the hit compounds in a much more realistic environment. Results: Through analyzing the results, we have found that all of the hit compounds are effective and can be strongly bound to the active site of the protein. They may therefore be potential candidates for the inhibition of Calcium-Dependent Protein Kinase 1 from Toxoplasma gondii. Conclusion: Given that the predicted compounds are FDA approved drugs, their toxicity profiles are established and their potentially predicted use can be evaluated in clinical trials.
لیست مقالات
لیست مقالات بایگانی شده
A New Method in Analyzing Drug-Drug Interaction Using Artificial Intelligence: Combination of Channel and Spatial Maps in Deep Attention Networks
Seyed Vahab Shojaedini - AmirReza Moeini
Novel Potential Peripheral ECM Biomarkers for Prognosis and Therapeutic Approaches in Liver Cirrhosis Based on Microarray Analysis
Sorour Akrami - Masoud Vosough
Molecular docking study of some herbal compounds as potential inhibitors of SARS-CoV-2 spike receptor
Mohammad Satari - Alireza Karami - Samin Saleh
Dissecting the genetic causes of inflammatory bowel disease based on whole exome sequencing
Amir Shahbazi - Mehdi Totonchi
Combination therapy synergism prediction for virus treatment using machine learning models
Shayan Majidifar - Arash Zabihian - Mohsen Hooshmand
Inhibition of angiogenesis based on the dynamic model of tumor growth using adaptive control method
Mehdi Ghasemi - Adel Akbarimajd - Solmaz Kia
Investigating the role of ursolic acid in EGFR L858R mutant inhibition in non-small cell lung cancer: Molecular docking and ADMET prediction
Tooba Abdizadeh
Diabetes nephropathy indicators for early diagnosis
Sedigheh Momenzadeh - Masumeh Jalalvand - Reza Nedaeinia
Harnessing Deep Learning for Epitope Prediction in Immunoinformatics: A Novel Framework for Vaccine Design
Ali Rahmati hagh bonab - Hannaneh sadat Jalilzadeh
S100a9 might act as a modulator of the Toll-like receptor 4 transduction pathway in chronic rhinosinusitis with nasal polyps
Nasibeh Khayer - Maryam Jalesssi
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.5.0