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Protein sequence classification using convolutional neural network and natural language processing
Pandey Abhishek,
Published in Springer
2022
Pages: 133 - 144
Abstract

Classifying protein sequences from biological data has lot of importance in the field of pharmacology. The application of machine learning to find the sequence of amino acids has recently received popularity from various researchers. This chapter proposes a protein sequence classification technique using 1D Convolutional Neural Network (CNN). We also have discussed how NLP algorithms can be used for protein sequencing. We have achieved an accuracy of 85% with the proposed 1D CNN and further improved to 92% after increasing the filter size.

About the journal
PublisherSpringer
Open AccessNo