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Leitmotif: protein motif scanning 2.0

Authors: Sinisa Bidin; Ivan Vujaklija; Tina Paradzik; Ana Bielen; Dusica Vujaklija;

Leitmotif: protein motif scanning 2.0

Abstract

Abstract Motivation Motif-HMM (mHMM) scanning has been shown to possess unique advantages over standardly used sequence-profile search methods (e.g. HMMER, PSI-BLAST) since it is particularly well-suited to discriminate proteins with variations inside conserved motifs (e.g. family subtypes) or motifs lacking essential residues (false positives, e.g. pseudoenzymes). Results In order to make mHMM widely accessible to a broader scientific community, we developed Leitmotif, an mHMM web application with many parametrization options easily accessible through intuitive interface. Substantial improvement of performance (ROC scores) was obtained by using two novel parameters. To the best of our knowledge, Leitmotif is the only available mHMM application. Availability and implementation Leitmotif is freely available at https://leitmotif.irb.hr. Contact sinisa@heuristika.hr or ivan.vujaklija@fer.hr Supplementary information Supplementary data are available at Bioinformatics online.

Country
Croatia
Keywords

Leitmotif server, protein motif scanning, Amino Acid Motifs, Proteins, Leitmotif server ; protein motif scanning, Biology, Software

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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4
Top 10%
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67
147
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