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ready Minimotif Miner 3.0


General Information
A database of short functional motifs involved in posttranslational modifications, binding to other proteins, nucleic acids, or small molecules.

How to cite this record MnM; Minimotif Miner 3.0; DOI:; Last edited: Jan. 8, 2019, 1:13 p.m.; Last accessed: Nov 27 2021 10:42 p.m.

Record updated: Sept. 6, 2016, 11:05 a.m. by The FAIRsharing Team.

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Minimotif Miner: a tool for investigating protein function.

Balla S., Thapar V., Verma S., Luong T., Faghri T., Huang CH., Rajasekaran S., del Campo JJ., Shinn JH., Mohler WA., Maciejewski MW., Gryk MR., Piccirillo B., Schiller SR., Schiller MR.,
Nat. Methods 2006

View Paper (PubMed)

Minimotif miner: a computational tool to investigate protein function, disease, and genetic diversity.

Schiller MR.,
Curr Protoc Protein Sci 2007

View Paper (PubMed)

Viral infection and human disease--insights from minimotifs.

Kadaveru K., Vyas J., Schiller MR.,
Front. Biosci. 2008

View Paper (PubMed)

Minimotif miner 2nd release: a database and web system for motif search.

Rajasekaran S., Balla S., Gradie P., Gryk MR., Kadaveru K., Kundeti V., Maciejewski MW., Mi T., Rubino N., Vyas J., Schiller MR.,
Nucleic Acids Res. 2009

View Paper (PubMed)

A proposed syntax for Minimotif Semantics, version 1.

Vyas J., Nowling RJ., Maciejewski MW., Rajasekaran S., Gryk MR., Schiller MR.,
BMC Genomics 2009

View Paper (PubMed)

Minimotif Miner 3.0: database expansion and significantly improved reduction of false-positive predictions from consensus sequences

Mi T, Merlin JC, Deverasetty S, Gryk MR, Bill TJ, Brooks AW, Lee LY, Rathnayake V, Ross CA, Sargeant DP, Strong CL, Watts P, Rajasekaran S, Schiller MR.
Nucleic Acids Research 2012

View Paper (PubMed) View Publication

Partitioning of minimotifs based on function with improved prediction accuracy.

Rajasekaran S., Mi T., Merlin JC., Oommen A., Gradie P., Schiller MR.,
PLoS ONE 2010

View Paper (PubMed)

A computational tool for identifying minimotifs in protein-protein interactions and improving the accuracy of minimotif predictions.

Rajasekaran S., Merlin JC., Kundeti V., Mi T., Oommen A., Vyas J., Alaniz I., Chung K., Chowdhury F., Deverasatty S., Irvey TM., Lacambacal D., Lara D., Panchangam S., Rathnayake V., Watts P., Schiller MR.,
Proteins 2011

View Paper (PubMed)

High-performance exact algorithms for motif search.

Rajasekaran S., Balla S., Huang CH., Thapar V., Gryk M., Maciejewski M., Schiller M.,
J Clin Monit Comput 2005

View Paper (PubMed)

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Grant Number(s)

  • R01 GM079689-01A1 (National Institutes of Health (NIH), Bethesda, MD, USA)