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Nucleic Acids Res. 2018 Jan 4;46(D1):D567-D574. doi: 10.1093/nar/gkx1116.

Molecular Interaction Search Tool (MIST): an integrated resource for mining gene and protein interaction data.

Author information

1
Department of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA.
2
Drosophila RNAi Screening Center, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA.
3
Center for Cancer Systems Biology, Dana-Farber Cancer Institute, Boston, MA 02115, USA.
4
Howard Hughes Medical Institute, 77 Avenue Louis Pasteur, Boston, MA 02115, USA.

Abstract

Model organism and human databases are rich with information about genetic and physical interactions. These data can be used to interpret and guide the analysis of results from new studies and develop new hypotheses. Here, we report the development of the Molecular Interaction Search Tool (MIST; http://fgrtools.hms.harvard.edu/MIST/). The MIST database integrates biological interaction data from yeast, nematode, fly, zebrafish, frog, rat and mouse model systems, as well as human. For individual or short gene lists, the MIST user interface can be used to identify interacting partners based on protein-protein and genetic interaction (GI) data from the species of interest as well as inferred interactions, known as interologs, and to view a corresponding network. The data, interologs and search tools at MIST are also useful for analyzing 'omics datasets. In addition to describing the integrated database, we also demonstrate how MIST can be used to identify an appropriate cut-off value that balances false positive and negative discovery, and present use-cases for additional types of analysis. Altogether, the MIST database and search tools support visualization and navigation of existing protein and GI data, as well as comparison of new and existing data.

PMID:
29155944
PMCID:
PMC5753374
DOI:
10.1093/nar/gkx1116
[Indexed for MEDLINE]
Free PMC Article

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