<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">ABB</journal-id><journal-title-group><journal-title>Advances in Bioscience and Biotechnology</journal-title></journal-title-group><issn pub-type="epub">2156-8456</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/abb.2020.117019</article-id><article-id pub-id-type="publisher-id">ABB-101307</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Showcase to Illustrate How the Web-Server pLoc_Deep-mEuk Is Working
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kuo-Chen</surname><given-names>Chou</given-names></name><xref ref-type="aff" rid="aff1"><sub>1</sub></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff1"><label>1</label><addr-line>Gordon Life Science Institute, Boston, MA, USA</addr-line></aff><pub-date pub-type="epub"><day>02</day><month>07</month><year>2020</year></pub-date><volume>11</volume><issue>07</issue><fpage>257</fpage><lpage>272</lpage><history><date date-type="received"><day>2,</day>	<month>June</month>	<year>2020</year></date><date date-type="rev-recd"><day>13,</day>	<month>June</month>	<year>2020</year>	</date><date date-type="accepted"><day>16,</day>	<month>June</month>	<year>2020</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Recently, a very useful method called “pLoc_Deep-mEuk” has been proposed for finding against the Pandemic COVID-19. Illustrated in this short report is a step-by-step guide for how to use its web-server.
 
</p></abstract><kwd-group><kwd>Coronavirus</kwd><kwd> Eukaryotic Proteins</kwd><kwd> Multi-Label System</kwd><kwd> PseAAC</kwd><kwd> Five-Steps Rules</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>Conflicts of Interest</title><p>The author declares no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s2"><title>Cite this paper</title><p>Chou, K.-C. (2020) Showcase to Illustrate How the Web-Server pLoc_Deep-mEuk Is Working. Advances in Bioscience and Biotechnology, 11, 257-272. https://doi.org/10.4236/abb.2020.117019</p></sec></body><back><ref-list><title>References</title><ref id="scirp.101307-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Shao, Y.T. and Chou, K.C. (2020) pLoc_Deep-mEuk: Predict Subcellular Localization of Eukaryotic Proteins by Deep Learning. Natural Science, 12 p.</mixed-citation></ref><ref id="scirp.101307-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Chou, K.C. (2019) Advance in Predicting Subcellular Localization of Multi-Label Proteins and Its Implication for Developing Multi-Target Drugs. Current Medicinal Chemistry, 26, 4918-4943. https://doi.org/10.2174/0929867326666190507082559</mixed-citation></ref><ref id="scirp.101307-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Maxwell, A., Li, R., Yang, B., Weng, H., Ou, A., Hong, H., Zhou, Z., Gong, P. and Zhang, C. (2017) Deep Learning Architectures for Multi-Label Classification of Intelligent Health Risk Prediction. BMC Bioinformatics, 18, Article No. 523.  
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