Different protein-protein interface patterns predicted by different machine learning methods.

ABSTRACT: Different types of protein-protein interactions make different protein-protein interface patterns. Different machine learning methods are suitable to deal with different types of data. Then, is it the same situation that different interface patterns are preferred for prediction by different machine learning methods? Here, four different machine learning methods were employed to predict protein-protein interface residue pairs on different interface patterns. The performances of the methods for different types of proteins are different, which suggest that different machine learning methods tend to predict different protein-protein interface patterns. We made use of ANOVA and variable selection to prove our result. Our proposed methods taking advantages of different single methods also got a

SUBMITTER: Wang W 

PROVIDER: S-EPMC5700192 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature