Towards predicting coiled-coil protein interactions

M. Singh, P. S. Kim

Research output: Contribution to conferencePaperpeer-review

8 Scopus citations


Protein-protein interactions play a central role in many cellular functions, and as whole-genome data accumulates, computational methods for predicting these interactions become increasingly important. Computational methods have already proven to be a useful first step for rapid genome-wide identification of putative protein structure and function, but research on the problem of computationally determining biologically relevant partners for given protein sequences is just beginning. In this paper, we approach the problem of predicting protein-protein interactions by focusing on the 2-stranded coiled-coil motif. We introduce a computational method for predicting coiled-coil protein interactions, and give a novel framework that is able to use both genomic sequence data and experimental data in making these predictions. Cross-validation tests show that the method is able to predict many aspects of protein-protein interactions mediated by the coiled-coil motif, and suggest that this methodology can be used a s the basis for genome-wide prediction of coiled-coil protein interactions.

Original languageEnglish (US)
Number of pages8
StatePublished - 2001
Externally publishedYes
Event5th Annual Internatinal Conference on Computational Biology - Montreal, Que., Canada
Duration: May 22 2001May 26 2001


Other5th Annual Internatinal Conference on Computational Biology
CityMontreal, Que.

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • General Biochemistry, Genetics and Molecular Biology


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