MimoSA: a system for minimotif annotation |
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| Authors: | Jay Vyas Ronald J Nowling Thomas Meusburger David Sargeant Krishna Kadaveru Michael R Gryk Vamsi Kundeti Sanguthevar Rajasekaran Martin R Schiller |
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| Institution: | (1) Department of Molecular, Microbial, and Structural Biology, University of Connecticut Health Center, 263 Farmington Ave., Farmington, CT 06030-3305, USA;(2) School of Life Sciences, University of Nevada Las Vegas, 4505 Maryland Pkwy., Las Vegas, NV 89154-4004, USA;(3) Department of Computer Science and Engineering, University of Connecticut, 371 Fairfield Rd., Storrs, CT 06269-2155, USA |
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| Abstract: | Background Minimotifs are short peptide sequences within one protein, which are recognized by other proteins or molecules. While there
are now several minimotif databases, they are incomplete. There are reports of many minimotifs in the primary literature,
which have yet to be annotated, while entirely novel minimotifs continue to be published on a weekly basis. Our recently proposed
function and sequence syntax for minimotifs enables us to build a general tool that will facilitate structured annotation
and management of minimotif data from the biomedical literature. |
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