scholarly journals Mapping the human protein interactome

Cell Research ◽  
2008 ◽  
Vol 18 (7) ◽  
pp. 716-724 ◽  
Author(s):  
Daniel Figeys
Keyword(s):  
Human Protein ◽  
Protein Interactome

ArrayMAPPIT: A Screening Platform for Human Protein Interactome Analysis

2011 ◽  
pp. 283-294 ◽  
Author(s):  
Sam Lievens ◽  
Nele Vanderroost ◽  
Dieter Defever ◽  
José Van der Heyden ◽  
Jan Tavernier
Keyword(s):  
Human Protein ◽  
Protein Interactome ◽  
Screening Platform

scholarly journals Mining the Largest Quasi-clique in Human Protein Interactome

2012 ◽  
Author(s):  
Sanghamitra Bandyopadhyay ◽  
Malay Bhattacharyya
Keyword(s):  
Human Protein ◽  
Protein Interactome

scholarly journals Network properties of cancer prognostic genes and their gene sets in the human protein interactome

2019 ◽  
Author(s):  
Jifeng Zhang ◽  
Cheng Jiang ◽  
Zhicheng Ji ◽  
Chenrun Wang
Keyword(s):  
Essential Gene ◽  
Housekeeping Gene ◽  
Human Protein ◽  
Random Sets ◽  
Gene Set ◽  
Gene Sets ◽  
Interactome Network ◽  
Protein Interactome ◽  
Network Modules ◽  
String Networks

Abstract Background Identifying prognostic genes (PG) is crucial for estimating survival time and providing pinpoint treatments for patients with cancer. However, prognostic genes sets (PGS) reported in most existing research have low reproducibility and overlap ever between the same cancers or their subtypes. Their common characteristic as well as the molecular mechanism of action is still elusive. Methods Here, we obtained nine prognostic gene sets (including 1,439 prognostic genes) of different types of cancer from 23 high quality literatures, and systemically investigated eight network topological properties for PG and PGS compared with background and four other gene sets (cancer gene set CA, essential gene set ES, housekeeping gene set HK, and metastasis-angiogenesis gene set MA) based on the HPRD and String networks. Results The results showed that PG did not occupy key positions in the human protein interactome network, and were more similar to ES rather than CA. Also, PGS had significantly small intraset distance (IAD) and interset distance (IED) in comparison with random sets. Further, we also found that PGS tended to have be distributed within network modules rather than between modules, the functional intersection of the modules enriched with PGS was closely related to cancer. Conclusions Our research reveals the common properties of cancer PG and PGS in the human protein interactome network, and can help us understand and discover cancer prognostic biomarkers.

scholarly journals UniHI: an entry gate to the human protein interactome

2006 ◽  
Vol 35 (suppl_1) ◽  
pp. D590-D594 ◽  
Author(s):  
Gautam Chaurasia ◽  
Yasir Iqbal ◽  
Christian Hänig ◽  
Hanspeter Herzel ◽  
Erich E. Wanker ◽  
...  
Keyword(s):  
Human Protein ◽  
Protein Interactome

Analysis of the human protein interactome and comparison with yeast, worm and fly interaction datasets

2006 ◽  
Vol 38 (3) ◽  
pp. 285-293 ◽  
Author(s):  
T K B Gandhi ◽  
Jun Zhong ◽  
Suresh Mathivanan ◽  
L Karthick ◽  
K N Chandrika ◽  
...  
Keyword(s):  
Human Protein ◽  
Protein Interactome

Full Characterization of Localization Diversity in the Human Protein Interactome

2017 ◽  
Vol 16 (8) ◽  
pp. 3019-3029 ◽  
Author(s):  
Lixin Cheng ◽  
Kaili Fan ◽  
Yan Huang ◽  
Dong Wang ◽  
Kwong-Sak Leung
Keyword(s):  
Human Protein ◽  
Full Characterization ◽  
Protein Interactome

scholarly journals Reconstruction of the experimentally supported human protein interactome: what can we learn?

2013 ◽  
Vol 7 (1) ◽  
pp. 96 ◽  
Author(s):  
Maria I Klapa ◽  
Kalliopi Tsafou ◽  
Evangelos Theodoridis ◽  
Athanasios Tsakalidis ◽  
Nicholas K Moschonas
Keyword(s):  
Human Protein ◽  
Protein Interactome

scholarly journals UniHI 4: new tools for query, analysis and visualization of the human protein–protein interactome

2008 ◽  
Vol 37 (suppl_1) ◽  
pp. D657-D660 ◽  
Author(s):  
Gautam Chaurasia ◽  
Soniya Malhotra ◽  
Jenny Russ ◽  
Sigrid Schnoegl ◽  
Christian Hänig ◽  
...  
Keyword(s):  
Human Protein ◽  
Protein Interactome
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