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OJBTM

Online Journal of Bioinformatics

Volume 13(2):214-221, 2012


Microarray informatics and virtual screening for acute myeloid leukemia target.

 

Tanima Shree1 *, Saurav Banerjee2, Swati Srivastava3

 

1 Institute of Computational Biology, Domlur Layout, Bangalore, 2,3Amity University Campus, Malhaur, Lucknow, Uttar Pradesh, India.

 

ABSTRACT

 

Shree T, Banerjee S, Srivastava S., Microarray informatics and virtual screening of acute myeloid leukemia target., Onl J Bioinform., 13(2):214-213, 2012. Acute Myeloid Leukemia (AML), is a fast growing malignant disease, more common in males than in females. Immature, useless white blood cells accumulate rapidly in the marrow and blood. We report potential therapeutic targets by combining microarray informatics and computational network biology. A list of differentially expressed genes was derived from analyzing AML vs normal microarray data. A network of all significantly expressed genes was built and analyzed through Pathway enrichment of the nodes. On analyzing the nodes belonging to cancer pathways, FGFR1 (fibroblast growth factor receptor 1) was identified as a potential target. Camptothecin analogs were identified as promising Leads for FGFR1 using structure based virtual screening and ADMET prediction.

 

Keywords: virtual screening, AML, Leukemia, Microarray data analysis.


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