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Title

Identifications small molecules inhibitor of p53-mortalin complex for cancer drug using virtual screening

 

Authors

Didik H Utomo, Nashi widodo* & M Rifa’i

 

Affiliation

Biology Department, Faculty of Sciences, Brawijaya University, Malang, Indonesia.

 

Email

widodo@ub.ac.id; *Corresponding author

 

Article Type

Hypothesis

 

Date

Received April 08, 2012; Accepted April 27, 2012; Published May 15, 2012

Abstract

Mortalin was over expressed in tumor cells and bind to p53 protein. This interaction was suggested to promote sequestration of p53 in the cytoplasm, thereby inhibiting its nuclear activity. The p53‭ ‬is a tumor suppressor that is essential for the prevention of cancer development, and loss of p53 function is one of the early events in immortalization of human cells. Therefore, abrogation p53-mortalin interaction using small molecule is guaranteed stop cancer cell grow. However study interaction of p53-mortalin, and its inhibition using small molecule is still challenging because specific site of mortalin that bind to p53, vice versa, is still debatable. This study has aims to analyze the p53-binding site of mortalin using molecular docking and to screen drug-like compounds that have potential as inhibitors of p53-mortalin interaction using virtual screening. The result showed that the lowest energy binding of p53-mortalin complex is -31.89 kcal/mol, and p53 protein bind to substrate binding domain of mortalin (THR433; VAL435; LEU436; LEU437; PRO442; ILE558; LYS555). Furthermore, the p53-binding domain of mortalin was used as receptor to screen 9000 drug-like compounds from ZINC database using molecular docking program Auto Dock Vina in PyRx 0.8 (Virtual Screening Tools). Here, we have identified three drug-like compounds that are ZINC01019934, ZINC00624418 and ZINC00664532 adequate to interrupt stability of p53-mortalin complex that warrant for anticancer agent.

 

Keywords

Mortalin, p53, Virtual screening, Docking, Drug-like compounds

Citation

Utomo et al. Bioinformation 8(9): 426-429 (2012)
 

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.