1 |
胡静波, 项炬, 胡涛, 等. 基于蛋白质相互作用网络局部相似度的肝癌疾病基因预测[J]. 湘潭大学学报(自然科学版), 2021, 43(1): 28-34.
|
2 |
ESEN S, MAXIME P, GAUTHIERL M, et al.. Analysis of the SARS-CoV-2-host protein interaction network reveals new biology and drug candidates: focus on the spike surface glycoprotein and RNA polymerase[J]. Expert Opin. Drug Discov., 2021, 16(8): 881-895.
|
3 |
SOKULLU E, PINARD M, GAUTHIER M S, et al.. Analysis of the SARS-CoV-2-host protein interaction network reveals new biology and drug candidates: focus on the spike surface glycoprotein and RNA polymerase[J]. Expert Opin. Drug Discov., 2021, 3: 1-15.
|
4 |
SOHEIR N, NABEEL A, EMAN A. Identifying protein complexes from protein-protein interaction networks based on the gene expression profile and core-attachment approach[J]. J. Bioinform. Comput. Biol., 2021, 19(3): 1-17.
|
5 |
刘家俊, 陈琛, 温明星, 等.基于共表达网络和蛋白互作分析挖掘小麦赤霉病抗性相关核心蛋白[J].生物技术进展, 2021, 11(5): 628-633.
|
6 |
SEONG C H, MI H K, LA Y C, et al.. Fat regulatory mechanisms of pine nut oil based on protein interaction network analysis[J]. Phytomedicine, 2021, 86: 1-11.
|
7 |
崔红梅. 基于蛋白质相互作用网络的PXR调控研究进展[J]. 环境与职业医学, 2020, 37(12): 1224-1229.
|
8 |
ADHAMI M, SADEGHI B, REZAPOUR A, et al.. Repurposing novel therapeutic candidate drugs for coronavirus disease-19 based on protein-protein interaction network analysis[J]. BMC Biotechnol., 2021, 21(1): 1-11.
|
9 |
姚永宏, 周正科, 侯渝嘉, 等. 福鼎大白茶愈伤组织的诱导条件优化[J]. 安徽农业科学, 2009, 37(24): 11423-11425.
|
10 |
林桂芳, 张灵玲. 假眼小绿叶蝉的防控方法进展[J]. 生物技术进展, 2016, 6(1): 25-29.
|
11 |
崔虎, 袁关德, 余德肖. 都匀毛尖茶分析比较研究[J]. 广州化工, 2020, 48(17): 80-82.
|
12 |
梁猛. ‘紫娟’茶树花青素代谢调控的差异蛋白质组研究[D]. 福州:福建农林大学, 2015.
|
13 |
廖天悦, 申铁. 基于转录组的福鼎大白茶叶片两种发育阶段的苯丙烷代谢合成途径分析比较[J]. 贵州师范大学学报(自然科学版), 2021, 39(3): 15-22.
|
14 |
XIA E H, ZHANG H B, SHENG J, et al.. The tea tree genome provides insights into tea flavor and independent evolution of caffeine biosynthesis[J]. Mol. Plant, 2017, 10(6): 866-877.
|
15 |
XIA E H, TONG W, HOU Y, et al.. The reference genome of tea plant and resequencing of 81 diverse accessions provide insights into its genome evolution and adaptation[J]. Mol. Plant, 2020, 13(7): 1013-1026.
|
16 |
MALYUSZ L, HAJDU M, VATTAI Z. Comparison of different algorithms for time analysis for CPM schedule networks[J]. Autom. Constr., 2021, 127: 1-13.
|
17 |
SZKLARCZYK D, GABLE A, NASTOU K, et al.. The STRING database in 2021: customizable protein-protein networks, and functional characterization of user-uploaded gene/m easurement sets[J]. Nucl. Acids Res., 2021, 49(1): 605-612.
|
18 |
江珊, 蒋勃, 徐桂珍, 等. 使用Cytoscape对生物网络数据的建模和分析[J]. 农业网络信息, 2017(6): 32-37.
|
19 |
MENG X, LI W, PENG X, et al.. Protein interaction networks: centrality, modularity, dynamics, and applications[J]. Front. Comp. Sci., 2021, 15(6): 1-17.
|
20 |
NEWMAN M. A measure of betweenness centrality based on random walks[J]. Soc. Networks, 2005, 27(1): 39-54.
|
21 |
STELZL U, WORM U, LALOWSKI M, et al.. A human protein-protein interaction network: a resource for annotating the proteome[J]. Cell, 2005, 122(6): 957-968.
|
22 |
蔡娟, 王建新, 李敏, 等. Cluster Viz: 集成于Cytoscape的聚类可视化插件[J]. 生物信息学, 2011, 9(3): 185-188.
|
23 |
WANG J, ZHONG J, CHEN G, et al.. ClusterViz: a cytoscape APP for cluster analysis of biological network[J]. IEEE/ACM, 2014, 12(4): 815-822.
|
24 |
王芬, 张龙芬, 木仁, 等. 基于PPIN的都匀毛尖根茎叶分析[J]. 种子, 2021, 40(7): 120-124, 2.
|
25 |
LI G, XU X, WANG B, et al.. Aanalysis of protein-protein interaction network and functional modules on primary osteoporosis[J]. Eur. J. Med. Res., 2014, 19: 1-15.
|
26 |
LIANG X, LIANG J, ZHAO X, et al.. Integrated network analysis of transcriptomic and protein-protein interaction data in taurine-treated hepatic stellate cells[J]. World J. Gastroenterol., 2019, 25(9): 1067-1079.
|
27 |
唐羽, 李敏. 基于Cytoscape的蛋白质网络可视化聚类分析插件[J]. 生物信息学, 2014, 12(1): 38-45.
|