0% Complete
صفحه اصلی
/
4th international edition and 13th Iranian Conference on Bioinformatics
Investigation of the interaction between 2-aminothiazole and bovine serum albumin (BSA), using the methods of molecular docking calculations and density functional theory (DFT)
نویسندگان :
Forough Pakzadi
1
Yaghub Pazhang
2
Ebrahim Nemati-Kande
3
1- Department of Biology, Faculty of Science, Urmia University, Urmia, Iran
2- Department of Biology, Faculty of Science, Urmia University, Urmia, Iran
3- Department of Physical Chemistry, Faculty of Chemistry, Urmia University, Urmia, Iran
کلمات کلیدی :
BSA،2-amibothiazole،Molecular Docking،DFT
چکیده :
Serum albumin, which constitute a large protein of plasma, play an essential role in regulating the distribution and bioavailability of biologically active substances, including drugs[1]. Understanding how drugs interact with serum albumins is vital for assessing their pharmacokinetic behavior and therapeutic effectiveness. This study examines the binding interaction between 2-amibothazole, a heterocyclic compound, and bovine serum albumin (BSA) using various computational techniques, including Molecular Docking[2] and density functional theory (DFT) calculations[3]. The research provides in-depth analysis of the binding affinity between 2-aminothiazole and BSA, offering a clear understanding of the binding mechanism through DFT simulations. Additionally, the study evaluates the potential toxicity of the drug by applying quantum theory of atoms in molecules (QTAIM) noncovalent interaction indices (NCI) and reduced density gradient (RDG) analysis. These findings emphasize the critical role of serum albumins in the distribution and stability of drugs, especially active compounds used in cancer, antibacterial and anti-inflammatory treatments. The results also highlight the therapeutic significance of 2-aminothiazole and its derivatives, demonstrating the potential of BSA as a model for studying drug-protein interactions, this research contributes to the development of more effective drug delivery systems and combination therapies, offering valuable insights into the pharmacodynamics, pharmacokinetics and toxicity of biologically active compounds.
لیست مقالات
لیست مقالات بایگانی شده
Innovative Multi-Epitope Vaccine for Breast Cancer Management: Utilizing MAGE-A, MAM-A, and Gal-3 through an In Silico Reverse Vaccinology Approach
Faranak Aali - Abbas Doosti - Mostafa Shakhsi-Niaei
A dynamic co-expression approach reveals Gins2 as a potential upstream modulator of HNSCC metastasis
Nasibeh Khayer - Samira Shabani - Maryam Jalessi - Mohammad Taghi Joghataei - Frouzandeh Mahjoubi
Encoding the gRNA-DNA Pairs with Deep Transformers to Predict off-target Effects of CRISPR
Roghayyeh Alipanahi - Leila Safari - Alireza Khanteymoori
Single-Cell Transcriptomic Analysis Reveals Cellular Heterogeneity and Molecular Markers in Acute Leukemia Subtypes
Fatemeh Mohagheghian - Zahra Salehi - Najmeh Salehi
Combination therapy synergism prediction for virus treatment using machine learning models
Shayan Majidifar - Arash Zabihian - Mohsen Hooshmand
Bioinformatic analysis of the role of S100A9 inhibition on reducing the brain metastasis in EGFR-mutant lung cancer
Homa Mollaei
A Fuzzy Bayesian Network Model for Personalized Diabetes Risk Prediction: Integrating Lifestyle, Genetic, and Environmental Factors
Lida Hooshyar - Nadia Tahiri
In Silico Design of a Chimeric Protein-Based Vaccine Against Salmonella Typhi: A Bioinformatics and Immunoinformatics Approach
Seyed Alireza Khoshuie-Esfahani - Neda Soleimani - Mohammad Yaghoubi-Avini - Mohsen Bidar Ajerloo
Novel Potential Peripheral ECM Biomarkers for Prognosis and Therapeutic Approaches in Liver Cirrhosis Based on Microarray Analysis
Sorour Akrami - Masoud Vosough
Identification of Antigenic Proteins of Acinetobacter baumannii as Potential Novel Vaccine Candidates Through a Reverse Vaccinology Approach
Amirhossein Ghadiri - Abbas Doosti - Mostafa Shakhsi-Niaei
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.7.0