Prediction of RNA-and DNA-Binding Proteins Using Various Machine Learning Classifiers

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Poursheikhali Asghari Mehdi; ABDOLMALEKI PARVIZ

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Journal Paper

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Journal: Avicenna Journal of Medical Biotechnology Year:2019 | Volume:11 | Issue:1 Page(s): 104-111

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Title

Prediction of RNA-and DNA-Binding Proteins Using Various Machine Learning Classifiers

Author(s)

Poursheikhali Asghari Mehdi | ABDOLMALEKI PARVIZ | Issue Writer Certificate

Keywords

DNA

binding proteins

Machine

learning algorithms

RNA

binding proteins

Abstract

Background: Nucleic acid-binding proteins play major roles in different biological processes, such as transcription, splicing and translation. Therefore, the nucleic acidbinding function prediction of proteins is a step toward full functional annotation of proteins. The aim of our research was the improvement of nucleic-acid binding function prediction. Methods: In the current study, nine Machine-learning algorithms were used to predict RNA-and DNA-binding proteins and also to discriminate between RNA-binding proteins and DNA-binding proteins. The electrostatic features were utilized for prediction of each function in corresponding adapted protein datasets. The leave-one-out crossvalidation process was used to measure the performance of employed classifiers. Results: Radial basis function classifier gave the best results in predicting RNA-and DNA-binding proteins in comparison with other classifiers applied. In discriminating between RNA-and DNA-binding proteins, multilayer perceptron classifier was the best one. Conclusion: Our findings show that the prediction of nucleic acid-binding function based on these simple electrostatic features can be improved by applied classifiers. Moreover, a reasonable progress to distinguish between RNA-and DNA-binding proteins has been achieved.

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APA: Copy

Poursheikhali Asghari, Mehdi, & ABDOLMALEKI, PARVIZ. (2019). Prediction of RNA-and DNA-Binding Proteins Using Various Machine Learning Classifiers. AVICENNA JOURNAL OF MEDICAL BIOTECHNOLOGY (AJMB), 11(1), 104-111. SID. https://sid.ir/paper/314005/en

Vancouver: Copy

Poursheikhali Asghari Mehdi, ABDOLMALEKI PARVIZ. Prediction of RNA-and DNA-Binding Proteins Using Various Machine Learning Classifiers. AVICENNA JOURNAL OF MEDICAL BIOTECHNOLOGY (AJMB)[Internet]. 2019;11(1):104-111. Available from: https://sid.ir/paper/314005/en

IEEE: Copy

Mehdi Poursheikhali Asghari, and PARVIZ ABDOLMALEKI, “Prediction of RNA-and DNA-Binding Proteins Using Various Machine Learning Classifiers,” AVICENNA JOURNAL OF MEDICAL BIOTECHNOLOGY (AJMB), vol. 11, no. 1, pp. 104–111, 2019, [Online]. Available: https://sid.ir/paper/314005/en

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