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HMMBinder: DNA-Binding Protein Prediction Using HMM Profile Based Features.

Abstract：

: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.

journal_name

Biomed Res Int

journal_title

BioMed research international

authors

Zaman R,Chowdhury SY,Rashid MA,Sharma A,Dehzangi A,Shatabda S

doi

10.1155/2017/4590609

subject

Has Abstract

pub_date

2017-01-01 00:00:00

pages

4590609

eissn

2314-6133

issn

2314-6141

journal_volume

2017

pub_type

杂志文章

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