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. 2001 Jan 1;29(1):239-41.
doi: 10.1093/nar/29.1.239.

DIP: The Database of Interacting Proteins: 2001 update

I Xenarios  1 , E Fernandez, L Salwinski, X J Duan, M J Thompson, E M Marcotte, D Eisenberg
Affiliations

DIP: The Database of Interacting Proteins: 2001 update

I Xenarios et al. Nucleic Acids Res. .

Abstract

The Database of Interacting Proteins (DIP; http://dip.doe-mbi.ucla. edu) is a database that documents experimentally determined protein-protein interactions. Since January 2000 the number of protein-protein interactions in DIP has nearly tripled to 3472 and the number of proteins to 2659. New interactive tools have been developed to aid in the visualization, navigation and study of networks of protein interactions.

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Figures

Figure 1
Figure 1
(A) The distribution of experimental methods for detecting the protein–protein interactions documented in DIP. The most popular methods are shown in the pie chart. For a complete list of techniques see http://dip.doe-mbi.ucla.edu. (B) Crossvalidation of protein–protein interactions: 84% of the interactions are observed in only a single experiment, but a growing fraction is observed by multiple experiments.
Figure 2
Figure 2
The distribution of protein cluster sizes is plotted along with representative network topology (in boxes). Circles represent proteins and lines represent interactions. The largest connected interaction network currently contains 1495 proteins.
Figure 3
Figure 3
(A) An example of a DIP web page centered on the yeast actin shows how users can graphically navigate interaction networks. The upper left frame contains information about the selected protein (i.e. yeast actin). The upper right frame contains a graphical representation of the network within two interactions from yeast actin. The lower panel lists interacting partners of the selected protein (only partly shown here). (B) Graphical representation of the protein interaction network within three interactions from yeast actin. Circles represent proteins and lines represent interactions. The line thickness represents the number of experiments detecting a given interaction. Specific methods are highlighted to illustrate their distribution in the network. Blue lines represent any type of methods; red lines depict the selected method.
See this image and copyright information in PMC

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