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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., Online 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