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Hum-mPLoc specifications

Information


Unique identifier OMICS_05421
Name Hum-mPLoc
Alternative name Hum-PLoc
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability Stable
Maintained Yes

Taxon


  • Primates
    • Homo sapiens

Maintainers


  • person_outline Hong-Bin Shen
  • person_outline Kuo-Chen Chou

Information


Unique identifier OMICS_05421
Name Hum-mPLoc
Alternative name Hum-PLoc
Software type Application/Script
Interface Command line interface
Restrictions to use None
Input data A protein sequence
Input format FASTA
Output data The prediction result and each subcellular localization's decision
Operating system Unix/Linux
Database management system MySQL
Computer skills Advanced
Version 3.0
Stability Stable
Maintained Yes

Taxon


  • Primates
    • Homo sapiens

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Versioning


No version available

Maintainers


  • person_outline Hong-Bin Shen
  • person_outline Kuo-Chen Chou

Publications for Hum-mPLoc

Hum-mPLoc citations

 (11)
library_books

Prediction of endoplasmic reticulum resident proteins using fragmented amino acid composition and support vector machine

2017
PeerJ
PMCID: 5588793
PMID: 28890846
DOI: 10.7717/peerj.3561

[…] which can specifically predict errps does not exist. moreover, predictors like proloc-go (), knowpredsite (), slocx (), iloc-animal (), iloc-euk (), cello v-2.5 (), hybridgo-loc (), mgoasvm (), hum-ploc (), euk-mploc (), pslt (), euk-mploc 2.0 (), the method developed by , and considered er as one among many subcellular locations. but these have some shortcomings like (i) among […]

library_books

Identifying the missing proteins in human proteome by biological language model

2016
BMC Syst Biol
PMCID: 5259966
PMID: 28155671
DOI: 10.1186/s12918-016-0352-6

[…] are run in non-homology mode where all the homologous structures identified with sequence identities greater than or equal to 30% are removed. the subcellular localization is predicted by using hum-mploc []., the protein sequences are composed of 20 native amino acids, while in natural language, the sentences are comprised by words. such similarity has draw researchers attention […]

library_books

Human Protein Subcellular Localization with Integrated Source and Multi label Ensemble Classifier

2016
Sci Rep
PMCID: 4914962
PMID: 27323846
DOI: 10.1038/srep28087

[…] learning step. the training set reconstruction will be introduced from two aspects, namely, data sources and data processing. the new dataset contains mainly two sources, which are locate and hum-mploc 2.0., about 526 (480+43+3 = 526) protein sequences are recorded as multi-label sequences (no repeat), which have two or more types of subcellular sites (the number of sites p1 is greater […]

library_books

Systems Biology Approaches for the Prediction of Possible Role of Chlamydia pneumoniae Proteins in the Etiology of Lung Cancer

2016
PLoS One
PMCID: 4752481
PMID: 26871581
DOI: 10.1371/journal.pone.0148530

[…] of c. pneumoniae in the host cell using bioinformatics predictors including expasy pi/mw tool, nuclear localization signal (nls) mapper, balanced sub cellular localization predictor (baceilo), and hum-mploc 2.0. we predicted 47/1112 nuclear-targeting proteins of c. pneumoniae connected with several possible alterations in host replication and transcription during intracellular infection. […]

library_books

Computational and Experimental Approaches to Reveal the Effects of Single Nucleotide Polymorphisms with Respect to Disease Diagnostics

2014
Int J Mol Sci
PMCID: 4100115
PMID: 24886813
DOI: 10.3390/ijms15069670

[…] and testing algorithms., since the earliest subcellular predictors psort [], signalp [,] and targetp [], there has been substantial progress in the development of these predictors. one of these, hum-mploc 2.0 [,,], which is a human subcellular localization predictor, shows a substantial advancement over earlier versions, the hum-ploc and hum-mploc. briefly, the datasets included […]

library_books

Predicting Human Protein Subcellular Locations by the Ensemble of Multiple Predictors via Protein Protein Interaction Network with Edge Clustering Coefficients

2014
PLoS One
PMCID: 3900678
PMID: 24466278
DOI: 10.1371/journal.pone.0086879

[…] complementary and enhancements to the experimental annotations., there are a number of existing methods that can predict protein subcellular locations based on primary sequences. we find that the hum-mploc 2.0 and y-loc predictors provided the most convenient and reliable services that are suitable for our work. therefore, two sequence based predictors were integrated in this work, […]


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Hum-mPLoc institution(s)
Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai, China; Department of Computer Science, Shanghai Jiao Tong University, Shanghai, China; Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering, Shanghai, China
Hum-mPLoc funding source(s)
This work was supported by the Natural Science Foundation of China (No. 61671288), the Science and Technology Commission of Shanghai Municipality (No. 16JC1404300), and the Shanghai Municipal Natural Science Foundation (No. 16ZR1448700).

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