应用GST pull-down技术筛选番茄SIVQ6互作蛋白
原贵波(
),莫双榕,钱莹,臧栋楠,杨帆,蒋红亮,武媛,丁海东()
),莫双榕,钱莹,臧栋楠,杨帆,蒋红亮,武媛,丁海东()
Screening of Interacting Protein of Tomato SIVQ6 by GST Pull-Down
YUAN GuiBo(),MO ShuangRong,QIAN Ying,ZANG DongNan,YANG Fan,JIANG HongLiang,WU Yuan,DING HaiDong()
),MO ShuangRong,QIAN Ying,ZANG DongNan,YANG Fan,JIANG HongLiang,WU Yuan,DING HaiDong()
图7. 番茄中SlVQ6蛋白的推定相互作用网络
使用STRING工具集成了功能交互网络模型,并将可信度参数设置为0.40阈值。蓝色节点：核糖体蛋白;绿色节点：核苷酸结合;红色节点：氧化还原酶活性
Fig. 7. Putative interaction network of SlVQ6 proteins in tomato
Functional interacting network models were integrated using the STRING tool, and the confidence parameters were set at a 0.40 threshold. Blue node: Ribosomal protein; Green node: Nucleotide binding; Red node: Oxidoreductase activity
