IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v391y2012i1p93-99.html
   My bibliography  Save this article

A novel graphical representation of proteins and its application

Author

Listed:
  • He, Ping-an
  • Wei, Jinzhou
  • Yao, Yuhua
  • Tie, Zhixin

Abstract

On the basis of three kinds of indices of physicochemical properties of twenty amino acids, a novel 3D graphical representation of protein sequences is presented. Then, the improved cumulative distance of the 3D graphical representations is defined in order to compare the proteins for similarity. Furthermore, the efficiency of our approach is illustrated by performing a comparison of similarities/dissimilarities among sequences of the ND5 proteins of nine different species. A correlation and significance analysis is provided to compare our results on similarities/dissimilarities and some other graphical representation results with the ClustalW results on similarities/dissimilarities. The comparison results show that our approach has better correlations with ClustalW for all nine species than other approaches.

Suggested Citation

  • He, Ping-an & Wei, Jinzhou & Yao, Yuhua & Tie, Zhixin, 2012. "A novel graphical representation of proteins and its application," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(1), pages 93-99.
    • Handle: RePEc:eee:phsmap:v:391:y:2012:i:1:p:93-99
    DOI: 10.1016/j.physa.2011.08.015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437111006431
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2011.08.015?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Li, Chun & Yu, Xiaoqing & Yang, Liu & Zheng, Xiaoqi & Wang, Zhifu, 2009. "3-D maps and coupling numbers for protein sequences," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(9), pages 1967-1972.
    2. Abo el Maaty, Moheb I. & Abo-Elkhier, Mervat M. & Abd Elwahaab, Marwa A., 2010. "3D graphical representation of protein sequences and their statistical characterization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4668-4676.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hou, Wenbing & Pan, Qiuhui & He, Mingfeng, 2016. "A new graphical representation of protein sequences and its applications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 996-1002.
    2. Jin, Xin & Nie, Rencan & Zhou, Dongming & Yao, Shaowen & Chen, Yanyan & Yu, Jiefu & Wang, Quan, 2016. "A novel DNA sequence similarity calculation based on simplified pulse-coupled neural network and Huffman coding," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 325-338.
    3. Liao, Bo & Xiang, Qilin & Cai, Lijun & Cao, Zhi, 2013. "A new graphical coding of DNA sequence and its similarity calculation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(19), pages 4663-4667.
    4. Mahmoodi-Reihani, Mehri & Abbasitabar, Fatemeh & Zare-Shahabadi, Vahid, 2018. "A novel graphical representation and similarity analysis of protein sequences based on physicochemical properties," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 477-485.
    5. Hou, Wenbing & Pan, Qiuhui & He, Mingfeng, 2014. "A novel representation of DNA sequence based on CMI coding," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 409(C), pages 87-96.
    6. Ma, Tingting & Liu, Yuxin & Dai, Qi & Yao, Yuhua & He, Ping-an, 2014. "A graphical representation of protein based on a novel iterated function system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 403(C), pages 21-28.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mahmoodi-Reihani, Mehri & Abbasitabar, Fatemeh & Zare-Shahabadi, Vahid, 2018. "A novel graphical representation and similarity analysis of protein sequences based on physicochemical properties," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 477-485.
    2. Ma, Tingting & Liu, Yuxin & Dai, Qi & Yao, Yuhua & He, Ping-an, 2014. "A graphical representation of protein based on a novel iterated function system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 403(C), pages 21-28.
    3. Li, Chun & Yang, Yan & Jia, Meiduo & Zhang, Yingying & Yu, Xiaoqing & Wang, Changzhong, 2014. "Phylogenetic analysis of DNA sequences based on k-word and rough set theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 398(C), pages 162-171.
    4. Hou, Wenbing & Pan, Qiuhui & He, Mingfeng, 2016. "A new graphical representation of protein sequences and its applications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 996-1002.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:391:y:2012:i:1:p:93-99. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.