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 good prediction result compared to single methods. In addition to the prediction of protein-protein interactions, this idea can be extended to other research areas such as protein structure prediction and design.
journal_name
Sci Repjournal_title
Scientific reportsauthors
Wang W,Yang Y,Yin J,Gong Xdoi
10.1038/s41598-017-16397-zsubject
Has Abstractpub_date
2017-11-22 00:00:00pages
16023issue
1issn
2045-2322pii
10.1038/s41598-017-16397-zjournal_volume
7pub_type
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