A computationally directed screen identifying interacting coiled coils from Saccharomyces cerevisiae.

Computational methods can frequently identify protein-interaction motifs in otherwise uncharacterized open reading frames. However, the identification of candidate ligands for these motifs (e.g., so that partnering can be determined experimentally in a directed manner) is often beyond the scope of current computational capabilities. One exception is provided by the coiled-coil ...
interaction motif, which consists of two or more alpha helices that wrap around each other: the ligands for coiled-coil sequences are generally other coiled-coil sequences, thereby greatly simplifying the motif/ligand recognition problem. Here, we describe a two-step approach to identifying protein-protein interactions mediated by two-stranded coiled coils that occur in Saccharomyces cerevisiae. Coiled coils from the yeast genome are first predicted computationally, by using the multicoil program, and associations between coiled coils are then determined experimentally by using the yeast two-hybrid assay. We report 213 unique interactions between 162 putative coiled-coil sequences. We evaluate the resulting interactions, focusing on associations identified between components of the spindle pole body (the yeast centrosome).
Mesh Terms:
Fungal Proteins, Genome, Fungal, Models, Molecular, Pilot Projects, Probability, Protein Conformation, Saccharomyces cerevisiae, Software
Proc. Natl. Acad. Sci. U.S.A.
Date: Nov. 21, 2000
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