Recognition of outer membrane proteins using multiple feature fusion Article Swipe

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Wenxia Su , Xiaojun Qian , Keli Yang , Hui Ding , Huang Cheng-bing , Zhao‐Yue Zhang ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.3389/fgene.2023.1211020

Introduction: Outer membrane proteins are crucial in maintaining the structural stability and permeability of the outer membrane. Outer membrane proteins exhibit several functions such as antigenicity and strong immunogenicity, which have potential applications in clinical diagnosis and disease prevention. However, wet experiments for studying OMPs are time and capital-intensive, thereby necessitating the use of computational methods for their identification. Methods: In this study, we developed a computational model to predict outer membrane proteins. The non-redundant dataset consists of a positive set of 208 outer membrane proteins and a negative set of 876 non-outer membrane proteins. In this study, we employed the pseudo amino acid composition method to extract feature vectors and subsequently utilized the support vector machine for prediction. Results and Discussion: In the Jackknife cross-validation, the overall accuracy and the area under receiver operating characteristic curve were observed to be 93.19% and 0.966, respectively. These results demonstrate that our model can produce accurate predictions, and could serve as a valuable guide for experimental research on outer membrane proteins.

Related Topics

Computational Biology

Transmembrane Protein

Computer Science

Biology

Artificial Intelligence

Concepts

Bacterial outer membrane Membrane protein Computational biology Jackknife resampling Biological system Feature (linguistics) Pseudo amino acid composition Antigenicity Membrane Immunogenicity Transmembrane protein Computer science Biology Artificial intelligence Biochemistry Amino acid Mathematics Antigen Genetics Gene Linguistics Dipeptide Statistics Receptor Escherichia coli Philosophy Estimator

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Type: article
Language: en
Landing Page: https://doi.org/10.3389/fgene.2023.1211020
PDF: https://www.frontiersin.org/articles/10.3389/fgene.2023.1211020/pdf?isPublishedV2=False
OA Status: gold
Cited By: 1
References: 52
Related Works: 10
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DOI: https://doi.org/10.3389/fgene.2023.1211020

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Title: Recognition of outer membrane proteins using multiple feature fusion

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Language: en

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Publication year: 2023

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Publication date: 2023-06-07

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Authors: Wenxia Su, Xiaojun Qian, Keli Yang, Hui Ding, Huang Cheng-bing, Zhao‐Yue Zhang

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Landing page: https://doi.org/10.3389/fgene.2023.1211020

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Concepts: Bacterial outer membrane, Membrane protein, Computational biology, Jackknife resampling, Biological system, Feature (linguistics), Pseudo amino acid composition, Antigenicity, Membrane, Immunogenicity, Transmembrane protein, Computer science, Biology, Artificial intelligence, Biochemistry, Amino acid, Mathematics, Antigen, Genetics, Gene, Linguistics, Dipeptide, Statistics, Receptor, Escherichia coli, Philosophy, Estimator

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Cited by: 1

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