Search published articles


Showing 2 results for Docking

Mokhtar Nosrati, Mandana Behbahani,
Volume 18, Issue 3 (6-2015)
Abstract

Background: Because of the reported high ability of virulence and medicinal resistance of HIV-1 virus during the last decades, many investigations have been performed concerning discovery and the introduction of anti-HIV-1 drugs. The results of numerous researches have shown that drugs and protease inhibitory compounds mainly containing plant derivatives specially terpenoids may control HIV-1 infection very effectively. The aim of this research is the bioinformatical study of HIV-1 protease inhibition by standard drugs and triterpenoides from plant and mushroom.

Materials and Methods: This is a descriptive-analytic study. In the present study , the structure of drugs, triterpene comounds, and HIV-1 protease enzyme was received from the databases such as Chem Spider, PubChem, Human Metabolome Database (HMDB), and Protein Data Bank (PDB). After that, molecular docking was performed by iGRMDOCK 2.1 software

Results: The results confirmed that the interactions of the triterpene compounds like the standard drugs were in three safeguarded and catalytic areas including central domain, flap and carboxylic terminal domain specially amino acids Asp25, Asp27, Ala28, Asp29 and Asp30 in active sites of HIV-1 protease. Also, The study of the interactions of these areas showed that there is a direct correlation between the strength of the interactions and IC50 values of these compounds.

Conclusion: Finally, with due attention to the high effectiveness and the proprietary function of triterpenoids, we can conclude that these compounds may be considered as effectire HIV-1 antiprotease drugs.


Bita Kaviani, Hossein Sazegar, Noosha Zia-Jahromi, Farzane Mohamadi Farsani,
Volume 20, Issue 11 (2-2018)
Abstract

Abstract
Background: The aim of this study is to investigate the role of rs137852599 single-nucleotide polymorphism in the androgen receptor coding gene on drug resistance against treatment with Enzalutamide in individuals diagnosed with prostate cancer.
Materials and Methods: In this case-control study, the ARMS-PCR analysis was conducted on androgen receptor coding gene in 50 patients diagnosed with prostate cancer with drug resistance and on 50 patients diagnosed with prostate cancer without drug resistance. The statistical analyses were performed using the GeNePop server and then the results were investigated by the SISA server.
Results: The allele frequencies of A and C alleles in rs137852599 were 0.78 and 0.22 for drug resistant and 0.94 and 0.06 for non-drug resistance groups. The results indicated that there is a meaningful relationship between drug resistance and rs137852599 single-nucleotide polymorphism
(p = 0.020).
Conclusion: The existence of single-nucleotide polymorphisms may result in drug resistance in individuals diagnosed with prostate cancer. Therefore, investigation of the existence of such polymorphisms can be effective in prescription of suitable drugs for these patients.

 


Page 1 from 1     

© 2025 CC BY-NC 4.0 | Journal of Arak University of Medical Sciences

Designed & Developed by : Yektaweb