Multiple dimensional space for protein interface residue characterization

• Autorzy: Tingyi Cao , Yongxiao Yang , Xinqi Gong
• Języki publikacji: EN

Abstrakty

EN

Proteins interact to perform biological functions through specific interface residues. Correctly understanding the mechanisms of interface recognition and prediction are important for many aspects of life science studies. Here, we report a novel architecture to study protein interface residues. In our method, multiple dimensional space was built on some meaningful features. Then we divided the space and put all the surface residues into the regions according to their features’ values. Interestingly, interface residues were found to prefer some grids clustered together. We obtained excellent result on a public and verified data benchmark. Our approach not only opens up a new train of thought for interface residue prediction, but also will help to understand proteins interaction more deeply.

Słowa kluczowe

EN

Protein-protein interaction; Interface residue; Multiple dimensional space; Clustering

• Wydawca: De Gruyter Open
• Czasopismo: Molecular Based Mathematical Biology
• Rocznik: 2016
• Tom: 4
• Numer: 1

Daty

otrzymano

2016-08-02

zaakceptowano

2016-12-07

online

2016-12-23

Twórcy

autor

Tingyi Cao

• Institute for Mathematical Sciences, Renmin University of China

autor

Yongxiao Yang

• Institute for Mathematical Sciences, Renmin University of China

autor

Xinqi Gong

• Institute for Mathematical Sciences, Renmin University of China

Identyfikatory

DOI

10.1515/mlbmb-2016-0004