HMMBinder: DNA-Binding Protein Prediction Using HMM Profile Based Features.
DNA-binding proteins often play important role in various processes within the cell. Over the last decade, a wide range of classification algorithms and feature extraction techniques have been used to solve this problem. In this paper, we propose a novel DNA-binding protein prediction method called...
| Publicado en: | BioMed Research International Vol. 2017; pp. 1 - 11 |
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| Autores principales: | , , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
11/14/2017
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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=126219745&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 126219745 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 11/14/2017 vid: 2017 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 126219745 126219745 126219745 10.1155/2017/4590609 126219745 ppf: 1 ppct: 10 formats: fmt: @attributes: type: P tig: atl: HMMBinder: DNA-Binding Protein Prediction Using HMM Profile Based Features. aug: au: Zaman, Rianon Chowdhury, Shahana Yasmin Rashid, Mahmood A. Sharma, Alok Dehzangi, Abdollah Shatabda, Swakkhar affil: Department of Computer Science and Engineering, United International University, Dhaka, Bangladesh sug: subj: Carrier Proteins DNA Physiology Cell Physiology Human Diffusion of Innovation Technology Statistics ab: DNA-binding proteins often play important role in various processes within the cell. Over the last decade, a wide range of classification algorithms and feature extraction techniques have been used to solve this problem. In this paper, we propose a novel DNA-binding protein prediction method called HMMBinder. HMMBinder uses monogram and bigram features extracted from the HMM profiles of the protein sequences. To the best of our knowledge, this is the first application of HMM profile based features for the DNA-binding protein prediction problem. We applied Support Vector Machines (SVM) as a classification technique in HMMBinder. Our method was tested on standard benchmark datasets. We experimentally show that our method outperforms the state-of-the-art methods found in the literature. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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