| Title |
Community-Based Network Study of Protein-Carbohydrate Interactions in Plant Lectins Using Glycan Array Data
|
|---|---|
| Published in |
PLOS ONE, April 2014
|
| DOI | 10.1371/journal.pone.0095480 |
| Pubmed ID | |
| Authors |
Adeel Malik, Juyong Lee, Jooyoung Lee |
| Abstract |
Lectins play major roles in biological processes such as immune recognition and regulation, inflammatory responses, cytokine signaling, and cell adhesion. Recently, glycan microarrays have shown to play key roles in understanding glycobiology, allowing us to study the relationship between the specificities of glycan binding proteins and their natural ligands at the omics scale. However, one of the drawbacks in utilizing glycan microarray data is the lack of systematic analysis tools to extract information. In this work, we attempt to group various lectins and their interacting carbohydrates by using community-based analysis of a lectin-carbohydrate network. The network consists of 1119 nodes and 16769 edges and we have identified 3 lectins having large degrees of connectivity playing the roles of hubs. The community based network analysis provides an easy way to obtain a general picture of the lectin-glycan interaction and many statistically significant functional groups. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 5% |
| Ghana | 1 | 5% |
| Unknown | 18 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 30% |
| Student > Ph. D. Student | 3 | 15% |
| Lecturer | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Other | 1 | 5% |
| Other | 4 | 20% |
| Unknown | 4 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 20% |
| Agricultural and Biological Sciences | 4 | 20% |
| Computer Science | 2 | 10% |
| Chemistry | 2 | 10% |
| Engineering | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 7 | 35% |