KK-DBP: A Multi-Feature Fusion Method for DNA-Binding Protein Identification Based on Random Forest

DNA-binding protein (DBP) is a protein with a special DNA binding domain that is associated with many important molecular biological mechanisms. Rapid development of computational methods has made it possible to predict DBP on a large scale; however, existing methods do not fully integrate DBP-relat...

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Autores principales:	Yuran Jia, Shan Huang, Tianjiao Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	DNA-binding protein position specificity score matrix random forest feature extraction multi-feature fusion Genetics QH426-470
Acceso en línea:	https://doaj.org/article/21685494e2854c9cae05cfe5b726eb66
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id	oai:doaj.org-article:21685494e2854c9cae05cfe5b726eb66
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spelling	oai:doaj.org-article:21685494e2854c9cae05cfe5b726eb662021-12-01T14:21:44ZKK-DBP: A Multi-Feature Fusion Method for DNA-Binding Protein Identification Based on Random Forest1664-802110.3389/fgene.2021.811158https://doaj.org/article/21685494e2854c9cae05cfe5b726eb662021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fgene.2021.811158/fullhttps://doaj.org/toc/1664-8021DNA-binding protein (DBP) is a protein with a special DNA binding domain that is associated with many important molecular biological mechanisms. Rapid development of computational methods has made it possible to predict DBP on a large scale; however, existing methods do not fully integrate DBP-related features, resulting in rough prediction results. In this article, we develop a DNA-binding protein identification method called KK-DBP. To improve prediction accuracy, we propose a feature extraction method that fuses multiple PSSM features. The experimental results show a prediction accuracy on the independent test dataset PDB186 of 81.22%, which is the highest of all existing methods.Yuran JiaShan HuangTianjiao ZhangFrontiers Media S.A.articleDNA-binding proteinposition specificity score matrixrandom forestfeature extractionmulti-feature fusionGeneticsQH426-470ENFrontiers in Genetics, Vol 12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	DNA-binding protein position specificity score matrix random forest feature extraction multi-feature fusion Genetics QH426-470
spellingShingle	DNA-binding protein position specificity score matrix random forest feature extraction multi-feature fusion Genetics QH426-470 Yuran Jia Shan Huang Tianjiao Zhang KK-DBP: A Multi-Feature Fusion Method for DNA-Binding Protein Identification Based on Random Forest
description	DNA-binding protein (DBP) is a protein with a special DNA binding domain that is associated with many important molecular biological mechanisms. Rapid development of computational methods has made it possible to predict DBP on a large scale; however, existing methods do not fully integrate DBP-related features, resulting in rough prediction results. In this article, we develop a DNA-binding protein identification method called KK-DBP. To improve prediction accuracy, we propose a feature extraction method that fuses multiple PSSM features. The experimental results show a prediction accuracy on the independent test dataset PDB186 of 81.22%, which is the highest of all existing methods.
format	article
author	Yuran Jia Shan Huang Tianjiao Zhang
author_facet	Yuran Jia Shan Huang Tianjiao Zhang
author_sort	Yuran Jia
title	KK-DBP: A Multi-Feature Fusion Method for DNA-Binding Protein Identification Based on Random Forest
title_short	KK-DBP: A Multi-Feature Fusion Method for DNA-Binding Protein Identification Based on Random Forest
title_full	KK-DBP: A Multi-Feature Fusion Method for DNA-Binding Protein Identification Based on Random Forest
title_fullStr	KK-DBP: A Multi-Feature Fusion Method for DNA-Binding Protein Identification Based on Random Forest
title_full_unstemmed	KK-DBP: A Multi-Feature Fusion Method for DNA-Binding Protein Identification Based on Random Forest
title_sort	kk-dbp: a multi-feature fusion method for dna-binding protein identification based on random forest
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/21685494e2854c9cae05cfe5b726eb66
work_keys_str_mv	AT yuranjia kkdbpamultifeaturefusionmethodfordnabindingproteinidentificationbasedonrandomforest AT shanhuang kkdbpamultifeaturefusionmethodfordnabindingproteinidentificationbasedonrandomforest AT tianjiaozhang kkdbpamultifeaturefusionmethodfordnabindingproteinidentificationbasedonrandomforest
_version_	1718405044632551424

KK-DBP: A Multi-Feature Fusion Method for DNA-Binding Protein Identification Based on Random Forest

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