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Title

A molecular modeling based screening for potential inhibitors to alpha hemolysin from Staphylococcus aureus

 

Authors

Behnam Rashidieh*, Sarah Etemadiafshar, Golnaz Memari, Masoumeh Mirzaeichegeni,
Shahrzad Yazdi, FatemehFarsimadan & Soodabeh Alizadeh

 

Affiliation

ViraVigene Research Institute, Tehran, Iran

Email

rashidieh@ibrc.ir; *Corresponding author

 

Article Type

Hypothesis

 

Date

Received May 15, 2015; Accepted June 01, 2015; Published August 31, 2015

 

Abstract

Staphylococcus aureus, a Gram-positive bacterium is pathogenic in nature. It is known that secreted toxins remain active after antibiotic treatment. The alpha hemolysin or alpha toxin damages cell membrane and induces apoptosis and degradation of DNA. The titer of alphahemolysin increases and causes hemostasis disturbances, thrombocytopenia, and pulmonary lesions during staphylococcal infection. Therefore, it is of interest to inhibit alpha hemolysin using novel compounds. We used the structure of alpha hemolysin(PDB: 7AHL) to screen structures for 100,000 compounds from the ZINC database using molecular docking with AutoDock VINA. Nine (9) successive hits were then subjected for pharmacokinetic and toxicity properties by PROTOX (a webserver for the prediction of oral toxicities of small molecules) and FAFDrugs (a tool for prediction of ADME and Toxicity). This exercise further identified hit #1 ({[3a-(Dihydroxymethyl)-6-hydroxy-2,2-dimethyl-1,3,4-trioxatetrahydro-2H-pentalen-5-yl]methyl}amino(9H-fluoren-9-yl)acetate with binding affinity: -10.3 kcal/mol) and hit #2 (6-(Dihydroxymethyl)-2-{2-[3-(methylamino)propyl]-2-azatricyclo[9.4.0.03,8]pentadeca-1(11),3,5,7,12,14-hexaen-6-yloxy}tetrahydro-2H-pyran-3,4,5-triol with binding affinity: -9.6 kcal/mol) with acceptable toxicity and ADME properties for potential predicted hemolysin inhibition. These compounds should then be evaluated in vitro using inhibitory studies.

 

Keywords

Staphylococcus aureus, Alpha toxin, Molecular docking, AutoDock, Virtual screening

 

Citation

Rashidieh et al. Bioinformation 11(8): 373-377 (2015)
 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.