Machine learning based identification of protein–protein interactions using derived features of physiochemical properties and evolutionary profiles

作者：

Highlights：

• Computational model is developed for protein–protein Interaction.

• PSSM and Physiochemical properties of amino acids.

• PNN and KNN are used as learners.

• Obtained quite promising results than existing methods.

摘要

•Computational model is developed for protein–protein Interaction.•PSSM and Physiochemical properties of amino acids.•PNN and KNN are used as learners.•Obtained quite promising results than existing methods.

论文关键词：Physiochemical properties,PPIs,PSSM,PNN

论文评审过程：Received 15 March 2017, Revised 9 June 2017, Accepted 11 June 2017, Available online 13 June 2017, Version of Record 19 June 2017.

论文官网地址：https://doi.org/10.1016/j.artmed.2017.06.006