Volume 2 Number 5 (Sep. 2012)
Home > Archive > 2012 > Volume 2 Number 5 (Sep. 2012) >
IJBBB 2012 Vol.2(5): 358-362 ISSN: 2010-3638
DOI: 10.7763/IJBBB.2012.V2.132

Identification and Analysis of Disease Target Network of Human MicroRNA and Predicting Promising Leads for ZNF439, a Potential Target for Breast Cancer

Vaijayanthi Raghavan and D. B. Manasa

Abstract—It has become increasingly evident that many diseases are linked to microRNAs and the role these biomolecules play in the development of numerous cancers. Thus, Biological network analysis offers novel approach in understanding basic mechanisms controlling normal biological processes and disease pathologies. Computational study of the disease-associated networks of human microRNAs is one of the means that provide complementary information. In the present study we predicted the disease association of all human microRNA predicted targets and the most promising leads were identified for the most potential target in breast cancer. The comprehensive list of human microRNAs was downloaded and the target genes of individual microRNA were retrieved based on miTG score using target prediction program. The resultant network was investigated based on the association of nodes with a relevant pathway, disease and pathological event. Further all the targets in the network for subjected for phylogenetic analysis and a comparative study was performed for these targets. The pattern of the conserved region was derived by Prosite analysis. Structure-based virtual screening involves docking of screened compounds and the protein target and the leads were identified based on the affinity and free energy of binding values. After extensive research, breast cancer was identified as the most significant disease and ZNF439 was identified as the most promising drug target in the network that was under study and the compounds such as Indolocarbozole, Camptothecin, Lucidenic Acid, Quercetin and Staurosporine were predicted as promising leads for ZNF439.

Index Terms—MicroRNA (miRNA), ZNF439, phylogenetic analysis, structure-based virtual screening.

V. Raghavan is with the Peoples Education Society Institute of Technology, Department of Biotechnology, 100 ft ring road, Banashankari 3rd stage, Bangalore, 560085 India (e-mail: vrr_94@ pes.edu).
D. B. Manasa was with the Peoples Education Society Institute of Technology, Department of Biotechnology, 100 ft ring road, Banashankari 3rd stage, Bangalore, 560085 India (e-mail: manasadb@gmail.com).

Cite: Vaijayanthi Raghavan and D. B. Manasa, "Identification and Analysis of Disease Target Network of Human MicroRNA and Predicting Promising Leads for ZNF439, a Potential Target for Breast Cancer," International Journal of Bioscience, Biochemistry and Bioinformatics vol. 2, no. 5, pp. 358-362, 2012.

General Information

ISSN: 2010-3638 (Online)
Abbreviated Title: Int. J. Biosci. Biochem. Bioinform.
Frequency: Quarterly 
DOI: 10.17706/IJBBB
Editor-in-Chief: Prof. Ebtisam Heikal 
Abstracting/ Indexing:  Electronic Journals Library, Chemical Abstracts Services (CAS), Engineering & Technology Digital Library, Google Scholar, and ProQuest.
E-mail: ijbbb@iap.org
  • Jun 22, 2020 News!

    IJBBB Vol 10, No 3 has been published online! [Click]

  • Apr 02, 2020 News!

    The papers published in Vol 10, No 2 have all received dois from Crossref [Click]

  • Mar 25, 2020 News!

    IJBBB Vol 10, No 2 has been published online!  [Click]

  • Dec 13, 2019 News!

    The papers published in Vol 10, No 1 have all received dois from Crossref [Click]

  • Nov 29, 2019 News!

    IJBBB Vol 10, No 1 has been published online!  [Click]

  • Read more>>