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Showcase to Illustrate How the Web-Server iKcr-PseEns is Working

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Listed:
  • Kuo-Chen Chou

Abstract

In 2018 a very powerful web-server predictor has been established for predicting lysine crotonylation sites in histone proteins. See how the web-server is working.

Suggested Citation

  • Kuo-Chen Chou, 2020. "Showcase to Illustrate How the Web-Server iKcr-PseEns is Working," International Journal of Sciences, Office ijSciences, vol. 9(01), pages 85-95, January.
    • Handle: RePEc:adm:journl:v:9:y:2020:i:1:p:85-95
    DOI: 10.18483/ijSci.2247
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    References listed on IDEAS

    as
    1. Yan Xu & Xin Wen & Li-Shu Wen & Ling-Yun Wu & Nai-Yang Deng & Kuo-Chen Chou, 2014. "iNitro-Tyr: Prediction of Nitrotyrosine Sites in Proteins with General Pseudo Amino Acid Composition," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-10, August.
    2. Wei-Zhong Lin & Jian-An Fang & Xuan Xiao & Kuo-Chen Chou, 2012. "Predicting Secretory Proteins of Malaria Parasite by Incorporating Sequence Evolution Information into Pseudo Amino Acid Composition via Grey System Model," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-7, November.
    3. Kuo-Chen Chou, 2020. "Showcase to Illustrate How the Webserver ploc_Bal- Meuk Is Working," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 24(2), pages 18156-18160, January.
    4. Sharaf Jameel Malebary & Muhammad Safi ur Rehman & Yaser Daanial Khan, 2019. "iCrotoK-PseAAC: Identify lysine crotonylation sites by blending position relative statistical features according to the Chou’s 5-step rule," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-15, November.
    5. Yan Xu & Jun Ding & Ling-Yun Wu & Kuo-Chen Chou, 2013. "iSNO-PseAAC: Predict Cysteine S-Nitrosylation Sites in Proteins by Incorporating Position Specific Amino Acid Propensity into Pseudo Amino Acid Composition," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-7, February.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Web-Server; iKcr-PseEns;

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