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DBLP
Article . 2020
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Hunting for Insect-Specific Protein Domains

Authors: Daniel R. Matute; Emiliano Barreto-Hernandez; Laurent Falquet;

Hunting for Insect-Specific Protein Domains

Abstract

Automatically finding new protein domains is a challenge when using the complete collection of known proteins (i.e., UniProt). By limiting the taxonomic range to class insecta, including two full proteomes (A. gambiae and D. melanogaster), we reduced the size of the search space in the hope of finding taxon-specific domains. The MKDOM2 program (http://prodes.toulouse.inra.fr/prodom/xdom/mkdom2.html) was used to cluster the insect proteins into potential domains that were analyzed manually in a second step. We analyzed 219 potential domains, of which 2 were insect-specific. We show that it is possible to find new domains or to extend known domains using a semi-automated method; however the goal to detect class-specific domains was only partially achieved in the sense that the new domains we found were not all insect-specific domains. The files used as input and the resulting output files, as well as extensive descriptions of the domains, are available as supplementary data from http://bioinf.ibun.unal.edu.co/insecta/.

Keywords

Animals, Computational Biology, Insect Proteins, Databases, Protein, Software, Protein Structure, Tertiary

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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!
0
Average
Average
Average
Published in a Diamond OA journal