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Bioimpacts. 2013;3(3): 141-144.
doi: 10.5681/bi.2013.026
PMID: 24163807
PMCID: PMC3786797
Scopus ID: 84887341373
  Abstract View: 1846
  PDF Download: 987

Original Research

Virtual Screening and Pharmacophore Design for a Novel Theoretical Inhibitor of Macrophage Stimulating Factor as a Metastatic Agent

Ibrahim Torktaz 1*, Faezeh Mohamadhashem 2, Abolghasem Esmaeili 3, Mohaddeseh Behjati 4, Sara Sharifzadeh 5

1 Young Researchers and Elite Club, Central Tehran Branch, Islamic Azad University, Tehran, Iran
2 Department of Medical Genetics, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
3 Cell, Molecular and Developmental Biology Division, Department of Biology, Faculty of Sciences, University of Isfahan, Isfahan, Iran
4 Isfahan Cardiovascular Research Center, Isfahan Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
5 Department of Biotechnology, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran
*Corresponding Author: Email: torktaz{at}ut.ac.ir

Abstract

Introduction: Metastasis is a crucial aspect of cancer. Macrophage stimulating protein (MSP) is a single chain protein and can be cleaved by serum proteases. MSP has several roles in metastasis. In this in silico study, MSP as a metastatic agent was considered as a drug target. Methods: Crystallographic structure of MSP was retrieved from protein data bank. To find a chemical inhibitor of MSP, a library of KEGG compounds was screened and 1000 shape complemented ligands were retrieved with FindSite algorithm. Molegro Virtual Docker (MVD) software was used for docking simulation of shape complemented ligands against MSP. Moldock score was used as scoring function for virtual screening and potential inhibitors with more negative binding energy were obtained. PLANS scoring function was used for revaluation of virtual screening data. Results: The top found chemical had binding affinity of -183.55 based on MolDock score and equal to -66.733 PLANTs score to MSP structure. Conclusion: Based on pharmacophore model of potential inhibitor, this study suggests that the chemical which was found in this research and its derivate can be used for subsequent laboratory studies.
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Submitted: 18 Mar 2013
Revision: 15 Jul 2013
ePublished: 21 Sep 2013
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