Functional characterization of unknown protein sequences using Neuro-Fuzzy based machine learning approach and sequence augmented feature

作者：

Highlights：

• We propose Neuro-Fuzzy and machine leaning based subcellular localization model.

• Proposed model is used for functional characterization of unknown protein.

• Unknown proteins are filtered as bacterial protein using Neuro-Fuzzy classifier.

• Functions of proteins are characterized through subcellular localization model.

摘要

•We propose Neuro-Fuzzy and machine leaning based subcellular localization model.•Proposed model is used for functional characterization of unknown protein.•Unknown proteins are filtered as bacterial protein using Neuro-Fuzzy classifier.•Functions of proteins are characterized through subcellular localization model.

论文关键词：Protein function characterization,Subcellular localization,Neuro-Fuzzy approach,Feature augmentation,Bacterial protein sequences

论文评审过程：Received 19 May 2021, Revised 23 March 2022, Accepted 2 June 2022, Available online 6 June 2022, Version of Record 9 June 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117760