2007
DOI: 10.1002/0471140864.ps0212s48
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Minimotif Miner: A Computational Tool to Investigate Protein Function, Disease, and Genetic Diversity

Abstract: 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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Cited by 8 publications
(6 citation statements)
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“…Interestingly, the characteristic GSR repeats within this sequence have 6 serines that match consensus GSK3β phosphorylation sites (phosphorylation cluster-1, P1). While in-silico analysis with different phosphorylation prediction algorithms (Obenauer et al, 2003; Schiller, 2007) reveal additional potential GSK3β sites (phosphorylation cluster 2, P2, Fig. 1F), their incompatible sequence context precluded efficient peptide retrieval for MS/MS analysis.…”
Section: Resultsmentioning
confidence: 99%
“…Interestingly, the characteristic GSR repeats within this sequence have 6 serines that match consensus GSK3β phosphorylation sites (phosphorylation cluster-1, P1). While in-silico analysis with different phosphorylation prediction algorithms (Obenauer et al, 2003; Schiller, 2007) reveal additional potential GSK3β sites (phosphorylation cluster 2, P2, Fig. 1F), their incompatible sequence context precluded efficient peptide retrieval for MS/MS analysis.…”
Section: Resultsmentioning
confidence: 99%
“…There is much still to learn. An analysis of the P2X7R sequence using Minimotif Miner Scan [85][86][87] and focusing on the C terminus has allowed us to find many new and previously undiscovered motifs and domains listed in Table 1.…”
Section: What Is Expected For the Future?mentioning
confidence: 99%
“…We previously used a web-based application, Minimotif Miner (MnM 1.0), to search within EFF-1’s cytoplasmic domain for instances of short peptide motifs (<15 residues) of known function [ 51 53 ]. This analysis revealed two candidate 14-3-3-binding motifs as the highest scoring potentially functional sites.…”
Section: Introductionmentioning
confidence: 99%