Identifying anticancer peptides by using improved hybrid compositions

被引：66

作者：

Li, Feng-Min ^{[1
]}

Wang, Xiao-Qian ^{[1
]}

机构：

[1] Inner Mongolia Agr Univ, Coll Sci, Hohhot 010018, Peoples R China

来源：

SCIENTIFIC REPORTS | 2016年 / 6卷

基金：

中国国家自然科学基金;

关键词：

AVERAGE CHEMICAL-SHIFT; SEQUENCE-BASED PREDICTOR; SUPPORT VECTOR MACHINES; AMINO-ACID-COMPOSITION; GENERAL-FORM; K-TUPLE; EVOLUTIONARY INFORMATION; SUBCELLULAR LOCATION; PROTEINS; IDENTIFICATION;

D O I：

10.1038/srep33910

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Cancer is one of the main causes of threats to human life. Identification of anticancer peptides is important for developing effective anticancer drugs. In this paper, we developed an improved predictor to identify the anticancer peptides. The amino acid composition (AAC), the average chemical shifts (acACS) and the reduced amino acid composition (RAAC) were selected to predict the anticancer peptides by using the support vector machine (SVM). The overall prediction accuracy reaches to 93.61% in jackknife test. The results indicated that the combined parameter was helpful to the prediction for anticancer peptides.

引用

页数：6

共 38 条

[1]

[Anonymous], 2018, ANTI-CANCER DRUG, DOI [DOI 10.3322/caac.20115, DOI 10.1097/CAD.0000000000000617]

[2] INDUCIBLE ANTIBACTERIAL DEFENCE SYSTEM IN DROSOPHILA [J].

BOMAN, HG ;

NILSSON, I ;

RASMUSON, B .

NATURE, 1972, 237 (5352) :232-+

[3] Antibacterial peptides: basic facts and emerging concepts [J].

Boman, HG .

JOURNAL OF INTERNAL MEDICINE, 2003, 254 (03) :197-215

[4] Support vector machines for predicting membrane protein types by using functional domain composition [J].

Cai, YD ;

Zhou, GP ;

Chou, KC .

BIOPHYSICAL JOURNAL, 2003, 84 (05) :3257-3263

[5] SMOQ: a tool for predicting the absolute residue-specific quality of a single protein model with support vector machines [J].

Cao, Renzhi ;

Wang, Zheng ;

Wang, Yiheng ;

Cheng, Jianlin .

BMC BIOINFORMATICS, 2014, 15

[6] Designing and evaluating the MULTICOM protein local and global model quality prediction methods in the CASP10 experiment [J].

Cao, Renzhi ;

Wang, Zheng ;

Cheng, Jianlin .

BMC STRUCTURAL BIOLOGY, 2014, 14

[7] Tachyplesin activates the classic complement pathway to kill tumor cells [J].

Chen, JG ;

Xu, XN ;

Underhfll, CB ;

Yang, SM ;

Wang, LP ;

Chen, YX ;

Hong, SG ;

Creswell, K ;

Zhang, LR .

CANCER RESEARCH, 2005, 65 (11) :4614-4622

[8] IACP: a sequence-based tool for identifying anticancer peptides [J].

Chen, Wei ;

Ding, Hui ;

Feng, Pengmian ;

Lin, Hao ;

Chou, Kuo-Chen .

ONCOTARGET, 2016, 7 (13) :16895-16909

[9] iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition [J].

Chen, Wei ;

Feng, Peng-Mian ;

Lin, Hao ;

Chou, Kuo-Chen .

NUCLEIC ACIDS RESEARCH, 2013, 41 (06) :e68

[10] Classification of antimicrobial peptide using diversity measure with quadratic discriminant analysis [J].

Chen, Wei ;

Luo, Liaofu .

JOURNAL OF MICROBIOLOGICAL METHODS, 2009, 78 (01) :94-96

← 1 2 3 4 →