In Silico Prediction of Synthetic Lethality by Meta-Analysis of Genetic Interactions, Functions, and Pathways in Yeast and Human Cancer
A major goal in cancer medicine is to find selective drugs with reduced side effect. A pair of genes is called synthetic lethality (SL) if mutations of both genes will kill a cell while mutation of either gene alone will not. Hence, a gene in SL interactions with a cancer-specific mutated gene will...
Main Authors: | Wu, Min, Li, Xuejuan, Zhang, Fan, Li, Xiaoli, Kwoh, Chee-Keong, Zheng, Jie |
---|---|
Format: | Online |
Language: | English |
Published: |
Libertas Academica
2014
|
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4224103/ |
Similar Items
-
Finding trans-regulatory genes and protein complexes modulating meiotic recombination hotspots of human, mouse and yeast
by: Wu, Min, et al.
Published: (2014) -
Gene function prediction from congruent synthetic lethal interactions in yeast
by: Ye, Ping, et al.
Published: (2005) -
An in-silico approach to predict and exploit synthetic lethality in cancer metabolism
by: Iñigo Apaolaza, et al.
Published: (2017-09-01) -
Understanding and predicting synthetic lethal genetic interactions in Saccharomyces cerevisiae using domain genetic interactions
by: Li, Bo, et al.
Published: (2011) -
Inferring synthetic lethal interactions from mutual exclusivity of genetic events in cancer
by: Srihari, Sriganesh, et al.
Published: (2015)