Title : ( Computational Prediction and Analysis of Interaction of Silver Nitrate with Peptidoglycan-Associated lipoprotein (Pal) )
Authors: Mohammad Mehrasa , Sayed Rasoul Zaker , Behrouz Larki , mohammad mehmandoust , Hojjat Baghshahi , Mohammad Hadi Sekhavati , Shahin Gavanji ,
Full TextAbstract
Silver nitrate is an inorganic compound with chemical formula AgNO3. Silver or silver ions have long been used in many areas due to their strong antimicrobial activity against pathogenic microbes such as bacteria, yeast, fungi and algae. The protein Pal (peptidoglycan-associated lipoprotein) is anchored in the outer membrane (OM) of Gram-negative bacteria and interacts with Tol proteins. We used Molegro virtual docker (MVD). The results obtained from docking showed us that the best pose which is derived from MolDock score for Chitinase was -23.4702 with reranking score equal to -33.6883. Bioinformatic studies show that silver nitrate has interaction with protein Pal.
Keywords
, Silver nitrate, AgNO3, Antimicrobial activity, Peptidoglycan-associated lipoprotein (Pal)
@article{paperid:1037974,
author = {Mohammad Mehrasa and Sayed Rasoul Zaker and Behrouz Larki and Mehmandoust, Mohammad and Hojjat Baghshahi and Sekhavati, Mohammad Hadi and Shahin Gavanji},
title = {Computational Prediction and Analysis of Interaction of Silver Nitrate with Peptidoglycan-Associated lipoprotein (Pal)},
journal = {International Journal of Scientific Research in Environmental Sciences},
year = {2014},
volume = {2},
number = {1},
month = {January},
issn = {2322-4983},
pages = {8--13},
numpages = {5},
keywords = {Silver nitrate; AgNO3; Antimicrobial activity; Peptidoglycan-associated lipoprotein (Pal)},
}
%0 Journal Article
%T Computational Prediction and Analysis of Interaction of Silver Nitrate with Peptidoglycan-Associated lipoprotein (Pal)
%A Mohammad Mehrasa
%A Sayed Rasoul Zaker
%A Behrouz Larki
%A Mehmandoust, Mohammad
%A Hojjat Baghshahi
%A Sekhavati, Mohammad Hadi
%A Shahin Gavanji
%J International Journal of Scientific Research in Environmental Sciences
%@ 2322-4983
%D 2014
