Please use this identifier to cite or link to this item: https://doi.org/10.1145/2110363.2110471
Title: PANI: An interactive data-driven tool for target prioritization in signaling networks
Authors: Chua, H.-E.
Bhowmick, S.S.
Tucker-Kellogg, L. 
Wang, Y.
Dewey Jr., C.F.
Yu, H. 
Keywords: PANI
Putative target
Target prioritization
Issue Date: 2012
Citation: Chua, H.-E.,Bhowmick, S.S.,Tucker-Kellogg, L.,Wang, Y.,Dewey Jr., C.F.,Yu, H. (2012). PANI: An interactive data-driven tool for target prioritization in signaling networks. IHI'12 - Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium : 851-854. ScholarBank@NUS Repository. https://doi.org/10.1145/2110363.2110471
Abstract: Biological network analysis often aims at the target identification problem, which is to predict which molecule to inhibit (or activate) for a disease treatment to achieve optimum efficacy and safety. A related goal, arising from the increasing availability of high-throughput screening (hts), is to suggest many molecules as potential targets. The target prioritization problem is to predict a subset of molecules in a given disease-associated network which is likely to include successful drug targets. Sensitivity analysis prioritizes targets in a dynamic network model according to principled criteria, but fails to penalize off-target effects, and does not scale for large networks. In this demonstration, we present Pani (Putative TArget Nodes PrIoritization), a novel interactive system that addresses these limitations. It prunes and ranks the possible target nodes by exploiting concentration-time profiles and network structure (topological) information and visually display them in the context of the signaling network. Through the interactive user interface, we demonstrate various innovative features of Pani that enhance users' understanding of the prioritized nodes. Copyright © 2012 ACM.
Source Title: IHI'12 - Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
URI: http://scholarbank.nus.edu.sg/handle/10635/112821
ISBN: 9781450307819
DOI: 10.1145/2110363.2110471
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