Mathematical Model of Dynamic Protein Interactions Regulating p53 Protein Stability for Tumor Suppression
Joint Authors
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-28
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
In the field of cancer biology, numerous genes or proteins form extremely complex regulatory network, which determines cancer cell fate and cancer cell survival.
p53 is a major tumor suppressor that is lost in more than 50% of human cancers.
It has been well known that a variety of proteins regulate its protein stability, which is essential for its tumor suppressive function.
It remains elusive how we could understand and target p53 stabilization process through network analysis.
In this paper we discuss the use of random walk and stationary distribution to measure the compound effect of a network of genes or proteins.
This method is applied to the network of nine proteins that influence the protein stability of p53 via regulating the interaction between p53 and its regulator MDM2.
Our study identifies that some proteins such as HDAC1 in the network of p53 regulators may have more profound effects on p53 stability, agreeing with the established findings on HDAC1.
This work shows the importance of using mathematical analysis to dissect the complexity of biology networks in cancer.
American Psychological Association (APA)
Wang, Hua& Peng, Guang. 2013. Mathematical Model of Dynamic Protein Interactions Regulating p53 Protein Stability for Tumor Suppression. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-465660
Modern Language Association (MLA)
Wang, Hua& Peng, Guang. Mathematical Model of Dynamic Protein Interactions Regulating p53 Protein Stability for Tumor Suppression. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-465660
American Medical Association (AMA)
Wang, Hua& Peng, Guang. Mathematical Model of Dynamic Protein Interactions Regulating p53 Protein Stability for Tumor Suppression. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-465660
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-465660