Affiliation of Author(s):计算机科学与技术学院/人工智能学院/软件学院

Journal:BIOMEDICAL RESEARCH-INDIA

Key Words:Zinc-binding sites Support vector machine Prediction Integrative.

Abstract:Zinc binding proteins play an important role in biological function, many researches focus on the area of zinc-binding sites. Taking into account the advantages of support vector machine, based on the different tools for the prediction of zinc-binding sites, a novel predictor named combZincPred was proposed to integrate these result scores. Tested on a non-redundant dataset, AURPC of our method increased more, and other indexes are also better than the other three predictors. The method can be better used to the inference of zinc-binding protein function.

ISSN No.:0970-938X

Translation or Not:no

Date of Publication:2017-01-01

Co-author:李慧,lh,张立航,洪磊

Correspondence Author:Pi Dechang