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Characterizing and optimizing human anticancer drug targets based on topological properties in the context of biological pathways.

Abstract：

:One of the challenging problems in drug discovery is to identify the novel targets for drugs. Most of the traditional methods for drug targets optimization focused on identifying the particular families of "druggable targets", but ignored their topological properties based on the biological pathways. In this study, we characterized the topological properties of human anticancer drug targets (ADTs) in the context of biological pathways. We found that the ADTs tended to present the following seven topological properties: influence the number of the pathways related to cancer, be localized at the start or end of the pathways, interact with cancer related genes, exhibit higher connectivity, vulnerability, betweenness, and closeness than other genes. We first ranked ADTs based on their topological property values respectively, then fused them into one global-rank using the joint cumulative distribution of an N-dimensional order statistic to optimize human ADTs. We applied the optimization method to 13 anticancer drugs, respectively. Results demonstrated that over 70% of known ADTs were ranked in the top 20%. Furthermore, the performance for mercaptopurine was significant: 6 known targets (ADSL, GMPR2, GMPR, HPRT1, AMPD3, AMPD2) were ranked in the top 15 and other four out of the top 15 (MAT2A, CDKN1A, AREG, JUN) have the potentialities to become new targets for cancer therapy.

journal_name

J Biomed Inform

journal_title

Journal of biomedical informatics

authors

Zhang J,Wang Y,Shang D,Yu F,Liu W,Zhang Y,Feng C,Wang Q,Xu Y,Liu Y,Bai X,Li X,Li C

doi

10.1016/j.jbi.2015.02.007

subject

Has Abstract

pub_date

2015-04-01 00:00:00

pages

132-40

eissn

1532-0464

issn

1532-0480

pii

S1532-0464(15)00039-8

journal_volume

54

pub_type

杂志文章

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