| URL: | http://mnm.engr.uconn.edu |
| Full name: | Minimotif Miner |
| Description: | Minimotif Miner (MnM) analyzes protein queries for the presence of short contiguous peptide motifs that have a known function in at least one other protein (Minimotifs), Minimotif functions include posttranslational modification of the minimotifs (PTM), binding to a target protein or molecule, and protein trafficking. |
| Year founded: | 2006 |
| Last update: | 2011-12-06 |
| Version: | v3.0 |
| Accessibility: | |
| Country/Region: | United States |
| Data type: | |
| Data object: |
NA
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| Database category: | |
| Major species: |
NA
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| Keywords: |
| University/Institution: | University of Connecticut |
| Address: | Storrs,CT 06269-2155,USA |
| City: | Storrs |
| Province/State: | CT |
| Country/Region: | United States |
| Contact name (PI/Team): | Martin R. Schiller |
| Contact email (PI/Helpdesk): | martin.schiller@unlv.edu |
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Minimotif Miner 3.0: database expansion and significantly improved reduction of false-positive predictions from consensus sequences. [PMID: 22146221]
Minimotif Miner (MnM available at http://minimotifminer.org or http://mnm.engr.uconn.edu) is an online database for identifying new minimotifs in protein queries. Minimotifs are short contiguous peptide sequences that have a known function in at least one protein. Here we report the third release of the MnM database which has now grown 60-fold to approximately 300,000 minimotifs. Since short minimotifs are by their nature not very complex we also summarize a new set of false-positive filters and linear regression scoring that vastly enhance minimotif prediction accuracy on a test data set. This online database can be used to predict new functions in proteins and causes of disease. |
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Minimotif miner 2nd release: a database and web system for motif search. [PMID: 18978024]
Minimotif Miner (MnM) consists of a minimotif database and a web-based application that enables prediction of motif-based functions in user-supplied protein queries. We have revised MnM by expanding the database more than 10-fold to approximately 5000 motifs and standardized the motif function definitions. The web-application user interface has been redeveloped with new features including improved navigation, screencast-driven help, support for alias names and expanded SNP analysis. A sample analysis of prion shows how MnM 2 can be used. Weblink: http://mnm.engr.uconn.edu, weblink for version 1 is http://sms.engr.uconn.edu. |
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Minimotif miner: a computational tool to investigate protein function, disease, and genetic diversity. [PMID: 18429315]
The Minimotif Miner Web site contains information on several hundred short functional motifs in a single database, and allows the user to search protein queries for the presence of these motifs. Scoring based on evolutionary conservation, protein surface prediction, and motif frequency can be used in conjunction with other motif programs and the known biology of the query to reduce false-positive predictions and select short motifs for experimental pursuit. |
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Minimotif Miner: a tool for investigating protein function. [PMID: 16489333]
In addition to large domains, many short motifs mediate functional post-translational modification of proteins as well as protein-protein interactions and protein trafficking functions. We have constructed a motif database comprising 312 unique motifs and a web-based tool for identifying motifs in proteins. Functional motifs predicted by MnM can be ranked by several approaches, and we validated these scores by analyzing thousands of confirmed examples and by confirming prediction of previously unidentified 14-3-3 motifs in EFF-1. |