1 Protein Interactions (Publications)

Note: Various types of protein interaction graphs are recorded in other network collections. We highlight two of them from the surveyed papers. First, we have the temporal Protein Interaction Publications, showing the history of how protein interactions were described in the literature. Second, the Protein Homology graph was provided by the Large Graph Layout project, their links are now broken and the dataset lost. Nonetheless, http://snap.stanford.edu/biodata/index.html and http://konect.cc/networks/ both also have various dataset of human/other species protein interactions. Origin Notes: Protein Interaction Publications were collected from the biological Pathway Commons Database: http://www.pathwaycommons.org/. graph features handled: Dynamic, Dynamic (discrete), Large, Multigraph Graph features in papers: generic,large,dynamic,dynamic (discrete),layered graphs,n-layers Origin Paper: LGL: Creating a Map of Protein Function with an Algorithm for Visualizing Very Large Biological Networks (https://www.notion.so/LGL-Creating-a-Map-of-Protein-Function-with-an-Algorithm-for-Visualizing-Very-Large-Biological-Netw-518c7160f2f24cd08c6bbb7b4f43216c?pvs=21), TimeArcs: Visualizing Fluctuations in Dynamic Networks (https://www.notion.so/TimeArcs-Visualizing-Fluctuations-in-Dynamic-Networks-e671c46ecfa444efaf28392636402266?pvs=21) Originally found at: https://github.com/CreativeCodingLab/TimeArcs/tree/master/IndexCards

https://lgl.sourceforge.net/ (download link broken) Size: 2961 nodes, 5267 edges Number of Graphs: 1 Appeared in years: 2008,2016 Type of Collection: Single Graph is it stored properly?: No must be analyzed: No In repo?: Yes Related to Literature - Algorithm (1) (Dataset tag relations): Rapid Graph Layout Using Space Filling Curves (https://www.notion.so/Rapid-Graph-Layout-Using-Space-Filling-Curves-847c46047b5c400bb9dcf339c8d42f12?pvs=21), TimeArcs: Visualizing Fluctuations in Dynamic Networks (https://www.notion.so/TimeArcs-Visualizing-Fluctuations-in-Dynamic-Networks-968889d3ca4a4109aca698513515e837?pvs=21) cleaned format?: Yes duplicate?: No link works?: No Added in paper: No OSF link json: https://files.osf.io/v1/resources/j7ucv/providers/osfstorage/64d94abc0c2b4d0e8d38629c Origin paper plaintext: LGL: Creating a Map of Protein Function with an Algorithm for Visualizing Very Large Biological Networks, TimeArcs: Visualizing Fluctuations in Dynamic Networks Page id: fb5bc3bb0c5d40468da36d279a114a78 unavailable/skip: No Cleaned ALL data: No OSF link gexf: https://files.osf.io/v1/resources/j7ucv/providers/osfstorage/64d9487494a6be101c12e7a5 OSF link gml: https://files.osf.io/v1/resources/j7ucv/providers/osfstorage/64d96cd4803e0c0ca9558d2b OSF link graphml: https://files.osf.io/v1/resources/j7ucv/providers/osfstorage/64d971704cf748115a055882 first look: Yes sparkline data: {‘min’: 1, ‘max’: 227, ‘step_size’: 10, ‘num_bins’: 23, ‘bins’: [0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150, 160, 170, 180, 190, 200, 210, 220], ‘node_degree’: [2768, 106, 38, 17, 12, 7, 3, 2, 3, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1]} Related to Literature - Algorithm (Dataset tag relations) 1: Rapid Graph Layout Using Space Filling Curves (../Benchmark%20sets%200cc6b5e454304aec98f3b59b1a720476/Literature%20ad87f14e7097454fb2f784e2c8a2797a/Literature%20-%20Algorithm%2012e01bfc60a84007aa7d2d34293e123d/Rapid%20Graph%20Layout%20Using%20Space%20Filling%20Curves%2010601cd6078a4ea18b17c7d40eda0041.md), TimeArcs: Visualizing Fluctuations in Dynamic Networks (../Benchmark%20sets%200cc6b5e454304aec98f3b59b1a720476/Literature%20ad87f14e7097454fb2f784e2c8a2797a/Literature%20-%20Algorithm%2012e01bfc60a84007aa7d2d34293e123d/TimeArcs%20Visualizing%20Fluctuations%20in%20Dynamic%20Netwo%209d27b7e02aec4b80bc15447255eb4f4c.md)

2 Body

2.1 Protein Interaction Publications

Statistics

Description from the Literature

From TimeArcs: Visualizing Fluctuations in Dynamic Networks:

The data contains the publication information (such as publication year, author, and textual evidence) of interactions between pairs of proteins, as well as their specific interaction type.

When there are multiple arcs connecting two proteins, it falls into one of the two circumstances. If they have the same color, these arcs indicate that there are supporting evidences in different publications which confirm the interaction between two elements. On the other hand, if they have the different colors, the more recent appearance provides either more detailed knowledge about the interaction or shows a conflict between different articles regarding the way in which these proteins interact.

Example Figures

From TimeArcs: Visualizing Fluctuations in Dynamic Networks:

Fig. 10: TimeArcs visualization for interactions around PCAF protein. (1), (2), and (3) in the figure are supporting evidences in literature of “PCAF binds MAML”.

2.2 Protein Homology (Lost)

Description from the Literature

From [Rapid Graph Layout Using Space Filling Curves:](https://ieeexplore.ieee.org/document/4658143)

The “pgraph” dataset (shown in Figures 2 and 6) is a protein homology graph, which is relatively dense [7].

Consists of 28, 854 vertices and 1,180, 816 edges, found in Table 1 of paper above.

Example Figures

From Rapid Graph Layout Using Space Filling Curves:

Fig. 2. A protein homology graph laid out with our space filling curve based approach. Color corresponds to depth in the clustering hierarchy. |V| = 28, 854,|E| = 1, 180, 816

From LGL: Creating a Map of Protein Function with an Algorithm for Visualizing Very Large Biological Networks

Fig. 3. The complete protein homology map. A layout of the entire protein homology map; a total of 11,516 connected sets containing 111,604 proteins (vertices) with 1,912,684 edges. The largest connected set is shown more clearly in the inset and is enlarged further in Figure 4.

== STOP RENDERING == broken link referenced in Rapid Graph Layout Using Space Filling Curves :

Same link referenced in original paper,

I also found https://lgl.sourceforge.net/ which contains the link to supposedly download the dataset but it is also broken

Reached out to author - Alex Adai