HotSpot: Prediction of hot spots in protein interfaces using a random forest model with hybrid features

• Last updated: Oct 24, 2011

Introduction#

This is a supporting materails webpage for our paper "Prediction of hot spots in protein interfaces using a random forest model with hybrid features". In the paper, we present a novel random forest model for hot spot prediction. It effectively integrates hybrid features which incorporates a wider range of information of the target residue and its two neighbor residues, i.e., the nearest contact residue in the other face (mirror-contact residue) and the nearest contact residue in the same face (intra-contact residue). The dataset, source code and supporting materials are available here. Any questions, please contact me zpliu AT sibs.ac.cn.

Reference#

• Wang L, Liu ZP, Chen L and Zhang XS: Prediction of hot spots in protein interfaces using a random forest model with hybrid features. Protein Eng Des Sel. 2012.

Data and Code#

• HotSpot.rar