Multi-iPPseEvo: A Multi-label Classifier for Identifying Human Phosphorylated Proteins by Incorporating Evolutionary Information into Chou′s General PseAAC via Grey System Theory-Reference-Cited by-同舟云学术

Multi-iPPseEvo: A Multi-label Classifier for Identifying Human Phosphorylated Proteins by Incorporating Evolutionary Information into Chou′s General PseAAC via Grey System Theory

Published:2016-09-29 Issue:3 Volume:36 Page:1600085
ISSN:1868-1743
Container-title:Molecular Informatics
language:en
Short-container-title:Mol. Inf.

Author:

Qiu Wang-Ren¹²³,Zheng Quan-Shu¹,Sun Bi-Qian¹,Xiao Xuan¹⁴

Affiliation:

1. Computer Department; Jingdezhen Ceramic Institute; Jingdezhen 333403 China

2. Department of Computer Science; University of Missouri; Columbia, MO USA

3. Bond Life Science Center; University of Missouri; Columbia, MO USA

4. Gordon Life Science Institute; Boston, Massachusetts 02478 United States of America

Funder

National Nature Science Foundation of China

Natural Science Foundation of Jiangxi Province

State Scholarship Fund

Publisher

Wiley

Subject

Organic Chemistry,Computer Science Applications,Drug Discovery,Molecular Medicine,Structural Biology

Reference79 articles.

1. Impacts of Bioinformatics to Medicinal Chemistry

2. Recent Progress in Predicting Posttranslational Modification Sites in Proteins

3. iSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteineS-nitrosylation sites in proteins

4. iHyd-PseAAC: Predicting Hydroxyproline and Hydroxylysine in Proteins by Incorporating Dipeptide Position-Specific Propensity into Pseudo Amino Acid Composition

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Review of Machine Learning and Algorithmic Methods for Protein Phosphorylation Sites Prediction;Genomics, Proteomics & Bioinformatics;2023-10

2. m7G-DPP: Identifying N7-methylguanosine sites based on dinucleotide physicochemical properties of RNA;Biophysical Chemistry;2021-12

3. Antibody Class(es) Predictor for Epitopes (AbCPE): A Multi-Label Classification Algorithm;Frontiers in Bioinformatics;2021-09-07

4. Prediction of human phosphorylated proteins by extracting multi-perspective discriminative features from the evolutionary profile and physicochemical properties through LFDA;Chemometrics and Intelligent Laboratory Systems;2020-08

5. Accurate Identification of Human Phosphorylated Proteins by Ensembling Supervised Kernel Self‐organizing Maps;Molecular Informatics;2020-03-13