A proteome-scale map of the human interactome network.
By T. Rolland, Murat Tasan, B. Charloteaux, S. Pevzner, Q. Zhong, Nidhi Sahni, S. Yi, I. Lemmens, Celia Fontanillo, Roberto Mosca and 60 more. 2014
1,301 citations recorded by the source corpus.
Subfields: Molecular Biology, Spectroscopy, Computational Biology & Bioinformatics
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- Jure Leskovec
- Marinka Zitnik
- William L. Hamilton
- Mike Tyers
- Lorrie Boucher
- Robert E. W. Hancock
- Rok Sosic
- Chris Stark
In Spectroscopy
- Robert E. W. Hancock
- Erin E. Gill
- Mike Tyers
- Jianguo Xia
- Gary D. Bader
- Jure Leskovec
- Roded Sharan
- Patrick Aloy
In Computational Biology & Bioinformatics
- Jure Leskovec
- William L. Hamilton
- Marinka Zitnik
- Jianguo Xia
- Roded Sharan
- Patrick Aloy
- Petar Velickovic
- Yiding Yang
Citations in the corpus
- Prioritizing network communities (2018, background): “For example, gene communities detected in a gene interaction network 11 provide predictions/hypotheses about disease pathways 2,3 , but to con fi rm these predictions scientists have to test every detected community by performing experiments in a wet laboratory 3,8 .”
- Human protein interaction networks across tissues and diseases (2015, background): “Out of 197 mutations covering 89 proteins with at least two PPI partners (in the HI-II-14 map of Rolland et al., 2014), 26% were found to cause a complete loss of interactions, 31% resulted in specific loss of some interactions, and 43% did not change the interaction partners.”
- A reference map of the human binary protein interactome (2020, methodology): “3c–g, 4, Supplementary Table 16–18, Supplementary Note 1).”
- Network-based approach to prediction and population-based validation of in silico drug repurposing (2018, methodology): “systematic human protein-protein interactome: (1) binary PPIs tested by high-throughput yeasttwo-hybrid (Y2H) systems in which we combined binary PPIs tested from two public available high-quality Y2H datasets (75, 76) and one dataset available from our website: http://ccsb.”
- The BioGRID interaction database: 2017 update (2016, background): “Since the advent of high-throughput approaches to detect protein (1– 3) and genetic interactions (4), the depth of coverage and accuracy of biological interaction networks has continued to improve (5,6), with increased resolution at the level of protein isoforms (7) and metabolites (8,9).”