1996-2019. All Rights Reserved. Online Journal of Bioinformatics . You may not store these pages in any form except for your own personal use. All other usage or distribution is illegal under international copyright treaties. Permission to use any of these pages in any other way besides the before mentioned must be gained in writing from the publisher. This article is exclusively copyrighted in its entirety to OJB publications. This article may be copied once but may not be, reproduced or re-transmitted without the express permission of the editors. This journal satisfies the refereeing requirements (DEST) for the Higher Education Research Data Collection (Australia). Linking:To link to this page or any pages linking to this page you must link directly to this page only here rather than put up your own page.


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.




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.