Prism: Protein-protein interaction prediction by structural matching

Ozlem Keskin*, Ruth Nussinov, Attila Gursoy

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

66 Scopus citations


Prism (protein interactions by structural matching) is a system that employs a novel prediction algorithm for protein-protein interactions. It adopts a bottom-up approach that combines structure and sequence conservation in protein interfaces. The algorithm seeks possible binary interactions between proteins through structure similarity and evolutionary conservation of known interfaces. It is composed of a database containing protein interface structures derived from the Protein Data Bank (PDB) and predicted protein-protein interactions. It also provides related information about the proteins and an interactive protein interface viewer. In the current version, 3799 structurally nonredundant interfaces are used to predict the interactions among 6170 proteins. A substantial number of interactions are verified in two publicly available interaction databases (DIP and BIND). As the verified interactions demonstrate the suitability of our approach, unverified ones may point to undiscovered interactions. Prism can be accessed through a user-friendly website ( and it will be updated regularly as new protein structures become available in the PDB. Users may browse through the nonredundant dataset of representative interfaces on which the prediction algorithm depends, retrieve the list of structures similar to these interfaces, or see the results of interaction predictions for a particular protein. Another service provided is the interactive prediction. This is done by running the algorithm for the user input structures.

Original languageEnglish
Title of host publicationFunctional Proteomics
Subtitle of host publicationMethods and Protocols
EditorsJulie D. Thompson, Marius Ueffing, Christine Schaeffer-Reiss
Number of pages17
StatePublished - 2008

Publication series

NameMethods in Molecular Biology
ISSN (Print)1064-3745


FundersFunder number
National Cancer InstituteZIABC010441


    • Protein databases
    • Protein interaction prediction
    • Protein interactions
    • Protein interfaces


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