Novel Numerical Characterization of Protein Sequences Based on Individual Amino Acid and Its Application.
The hydrophobicity and hydrophilicity of amino acids play a very important role in protein folding and its interaction with the environment and other molecules, as well as its catalytic mechanism. Based on the two physicochemical indexes, a 2D graphical representation of protein sequences is introdu...
| Publicado en: | BioMed Research International Vol. 2015; pp. 1 - 9 |
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| Autores principales: | , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
2/2/2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109273315&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109273315 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 2/2/2015 vid: 2015 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 109273315 109273315 109273315 10.1155/2015/909567 109273315 ppf: 1 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Novel Numerical Characterization of Protein Sequences Based on Individual Amino Acid and Its Application. aug: au: Zhang, Yan-ping Sheng, Ya-jun Zheng, Wei He, Ping-an Ruan, Ji-shuo affil: Department of Mathematics, School of Science, Hebei University of Engineering, Handan 056038, China sug: subj: Amino Acids Proteins Physiology Diffusion of Innovation DNA Physiology Biometrics Human Statistics Funding Source ab: The hydrophobicity and hydrophilicity of amino acids play a very important role in protein folding and its interaction with the environment and other molecules, as well as its catalytic mechanism. Based on the two physicochemical indexes, a 2D graphical representation of protein sequences is introduced; meanwhile, a new numerical characteristic has been proposed to compute the distance of different sequences for analysis of sequence similarity/dissimilarity on the basis of this graphical representation. Furthermore, we apply the new distance in the similarities/dissimilarities of ND5 proteins of nine species and predict the four major classes based on the dataset containing 639 domains. The results show that the method is simple and effective. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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