Document Details

Document Type : Article In Journal 
Document Title :
iACP: a sequence-based tool for identifying anticancer peptides
iACP: a sequence-based tool for identifying anticancer peptides
 
Document Language : English 
Abstract : Cancer remains a major killer worldwide. Traditional methods of cancer treatment are expensive and have some deleterious side effects on normal cells. Fortunately, the discovery of anticancer peptides (ACPs) has paved a new way for cancer treatment. With the explosive growth of peptide sequences generated in the post genomic age, it is highly desired to develop computational methods for rapidly and effectively identifying ACPs, so as to speed up their application in treating cancer. Here we report a sequence-based predictor called iACP developed by the approach of optimizing the g-gap dipeptide components. It was demonstrated by rigorous crossvalidations that the new predictor remarkably outperformed the existing predictors for the same purpose in both overall accuracy and stability. For the convenience of most experimental scientists, a publicly accessible web-server for iACP has been established at http://lin.uestc.edu.cn/server/iACP, by which users can easily obtain their desired results. 
ISSN : 2694-2877 
Journal Name : Oncotarget 
Volume : 7 
Issue Number : 13 
Publishing Year : 1437 AH
2016 AD 
Article Type : Article 
Added Date : Tuesday, July 11, 2017 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
Wei ChenChen, Wei ResearcherDoctorate 
Hui DingDing, Hui ResearcherDoctorate 
Pengmian FengFeng, Pengmian ResearcherDoctorate 
Hao LinLin, Hao ResearcherDoctorate 
Kuo-Chen ChouChou, Kuo-Chen ResearcherDoctorate 

Files

File NameTypeDescription
 41960.pdf pdf 

Back To Researches Page