Title :
Syn-Lethality: An integrative knowledge base of synthetic lethality towards discovery of selective anticancer therapies
Author :
Xue-juan Li ; Mishra, Sonu K. ; Min Wu ; Fan Zhang ; Jie Zheng
Author_Institution :
Bioinf. Res. Centre, Technol. Univ., Singapore, Singapore
Abstract :
Synthetic lethality (SL) is a novel strategy for anticancer therapies, whereby mutations of two genes will kill a cell but mutation of a single gene will not. Therefore, a cancer-specific mutation combined with a drug-induced mutation, if they have SL interactions, will selectively kill cancer cells. While numerous SL interactions have been identified in yeast, only a few have been known in human. There is a pressing need to systematically discover and understand SL interactions specific to human cancer. In this paper, we present Syn-Lethality, the first integrative knowledge base of SL that is dedicated to human cancer. It integrates experimentally discovered and verified human SL gene pairs into a network, associated with annotations of gene functions, pathways and molecular mechanisms. It also includes yeast SL genes from high-throughput screenings which are mapped to orthologous human genes. Such an integrative knowledge base, organized as a relational database with user interface for searching and network visualization, will greatly expedite the discovery of novel anticancer drug targets based on synthetic lethality interactions.
Keywords :
Java; cancer; cellular biophysics; drugs; genetics; knowledge based systems; medical computing; microorganisms; molecular biophysics; patient treatment; relational databases; user interfaces; anticancer drug targets; cancer cells; cancer-specific mutation; drug-induced mutation; gene function; gene pathways; human cancer; human synthetic lethality gene pairs; integrative knowledge base; molecular mechanisms; network visualization; orthologous human genes; relational database; selective anticancer therapy discovery; stand-alone Java application; synthetic lethality interactions; user interface; yeast; yeast synthetic lethality gene; Cancer; Computers; Educational institutions; Electronic mail; Knowledge based systems; Medical treatment; Pressing;
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference on
Conference_Location :
Shanghai
DOI :
10.1109/BIBM.2013.6732609