SeqNLS statistics

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SeqNLS specifications

Information


Unique identifier OMICS_13511
Name SeqNLS
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability Stable
Maintained Yes

Maintainer


  • person_outline Jianjun Hu <>

Publication for SeqNLS

SeqNLS in publications

 (4)
PMCID: 5873917
PMID: 29467189
DOI: 10.1534/g3.118.200040

[…] () (, ). these data suggest that less conserved amino acid residues are not required for the overexpression phenotypes., we used two publicly available online prediction programs, wolf psort () and seqnls (), to gain insights into subcellular localization patterns of the 289 sofl homologs. wolf psort converts protein amino acid sequences into numerical localization features based on sorting […]

PMCID: 5371273
PMID: 28351373
DOI: 10.1186/s13045-017-0446-7

[…] dna and protein sequences were performed using orthologous sequences obtained from ensembl and aligned using the clustalw algorithm within macvector. prediction of nls sequences was performed with seqnls. protein disorder analysis was performed using the pondr server., for each chip, 5 × 106 hek293t cells transfected with pccltetegfp, pccltetegfp-2a-haelf2a, and pccltetegfp-2a-haelf2b […]

PMCID: 4999519
PMID: 27554864
DOI: 10.1038/ncomms12723

[…] results at least in part from perilipin 5 mobilization from existing depots () as opposed to new synthesis., to address how perilipin 5 targets to the nucleus, we used sequence analysis software (seqnls and nucpred) to search for potential nuclear localization signals (nls), but none were identified within perilipin 5., perilipin-1 was initially identified as the major pka substrate […]

PMCID: 4460025
PMID: 26052702
DOI: 10.1371/journal.pone.0127707

[…] binding capability of phb2 with each kpna was comparable with that of the ala-replaced nls mutant phb2 (r86a, r88a and k89a) (). notably, the scores of nls sequences within phb2 predicted using the seqnls algorithm [] and cnls mapper [] were substantially less than the cut-off value (data not shown). in recent years, however, it has become increasingly apparent that a number of proteins […]


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SeqNLS institution(s)
Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA
SeqNLS funding source(s)
This work was supported by the National Science Foundation Career Award (Grant BIO-DBI-0845381).

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