Prediction of G Protein-Coupled Receptors With CTDC Extraction and MRMD2.0 Dimension-Reduction Methods

The G Protein-Coupled Receptor (GPCR) family consists of more than 800 different members. In this article, we attempt to use the physicochemical properties of Composition, Transition, Distribution (CTD) to represent GPCRs. The dimensionality reduction method of MRMD2.0 filters the physicochemical pr...

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Vydané v:Frontiers in bioengineering and biotechnology Ročník 8; s. 635
Hlavní autori: Gu, Xingyue, Chen, Zhihua, Wang, Donghua
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Frontiers Media S.A 25.06.2020
Predmet:
Bioengineering and Biotechnology
CTD
feature extraction
Matplotlib
MRMD2.0
predict GPCRs
ISSN:2296-4185, 2296-4185
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Shrnutí:The G Protein-Coupled Receptor (GPCR) family consists of more than 800 different members. In this article, we attempt to use the physicochemical properties of Composition, Transition, Distribution (CTD) to represent GPCRs. The dimensionality reduction method of MRMD2.0 filters the physicochemical properties of GPCR redundancy. Matplotlib plots the coordinates to distinguish GPCRs from other protein sequences. The chart data show a clear distinction effect, and there is a well-defined boundary between the two. The experimental results show that our method can predict GPCRs.The G Protein-Coupled Receptor (GPCR) family consists of more than 800 different members. In this article, we attempt to use the physicochemical properties of Composition, Transition, Distribution (CTD) to represent GPCRs. The dimensionality reduction method of MRMD2.0 filters the physicochemical properties of GPCR redundancy. Matplotlib plots the coordinates to distinguish GPCRs from other protein sequences. The chart data show a clear distinction effect, and there is a well-defined boundary between the two. The experimental results show that our method can predict GPCRs.
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This article was submitted to Synthetic Biology, a section of the journal Frontiers in Bioengineering and Biotechnology
Reviewed by: Lijun Dou, Shenzhen Polytechnic, China; Changli Feng, Taishan University, China
Edited by: Zhibin Lv, University of Electronic Science and Technology of China, China
ISSN:2296-4185
2296-4185
DOI:10.3389/fbioe.2020.00635