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In the protein-protein interactions, only a small subset of hot spot residues contributes significantly to the binding free energy. Therefore, there is an imbalance between the number of hot spots and non-hot spots. The prediction of hot spot residues is very important in the protein-protein interaction. This paper presents an improved ensemble learning method-Adaboost with SMOTE method to deal with...
We examined the conservation of hot regions in protein-protein interaction in evolution for the first time. We studied sequence conservation of hot regions in different species annotated in the database ASEdb, applying the BLOSUM matrix to construct conservation scoring function of hot regions. The experimental results showed that there is high correlation of conservation between hot regions in different...
This paper studies how to select input parameters in density clustering of hot region prediction. There are two parameters radius and density in density-based incremental clustering. We firstly fix density and enumerate radius to find a pair of parameters which leads to maximum number of clusters, and then we fix radius and enumerate density to find another pair of parameters which leads to maximum...
There is an important relationship between the stability of protein complex and hot region. Research has shown that in protein-protein interaction (PPI), residues are denser around the hot region. Therefore, this paper proposed an algorithm based on Gi statistics, regional division rule and regional amplification principle to form residue dense region (RDR); Then, according to the results of cascade...
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