PhosphoSVM: prediction of phosphorylation sites by integrating various protein sequence attributes with a support vector machine

Amino Acids ◽

10.1007/s00726-014-1711-5 ◽

2014 ◽

Vol 46 (6) ◽

pp. 1459-1469 ◽

Author(s):

Yongchao Dou ◽

Bo Yao ◽

Chi Zhang

Keyword(s):

Support Vector Machine ◽

Protein Sequence ◽

Support Vector ◽

Phosphorylation Sites

Download Full-text

AutoMotif Server for prediction of phosphorylation sites in proteins using support vector machine: 2007 update

Journal of Molecular Modeling ◽

10.1007/s00894-007-0250-3 ◽

2007 ◽

Vol 14 (1) ◽

pp. 69-76 ◽

Author(s):

Dariusz Plewczynski ◽

Adrian Tkacz ◽

Lucjan S. Wyrwicz ◽

Leszek Rychlewski ◽

Krzysztof Ginalski

Keyword(s):

Support Vector Machine ◽

Support Vector ◽

Phosphorylation Sites

Download Full-text

Maps: An integrated system for protein sequence annotation using support vector machine

Journal of the Chinese Institute of Engineers ◽

10.1080/02533839.2008.9671432 ◽

2008 ◽

Vol 31 (5) ◽

pp. 781-790

Author(s):

Jung‐Ying Wang ◽

Cheng‐Kang Liu ◽

Hahn‐Ming Lee

Keyword(s):

Support Vector Machine ◽

Protein Sequence ◽

Integrated System ◽

Support Vector ◽

Sequence Annotation

Download Full-text

Identification of ligand-binding residues using protein sequence profile alignment and query-specific support vector machine model

Analytical Biochemistry ◽

10.1016/j.ab.2020.113799 ◽

2020 ◽

Vol 604 ◽

pp. 113799

Author(s):

Jun Hu ◽

Liang Rao ◽

Xueqiang Fan ◽

Guijun Zhang

Keyword(s):

Support Vector Machine ◽

Protein Sequence ◽

Support Vector Machine Model ◽

Support Vector ◽

Sequence Profile ◽

Machine Model ◽

Specific Support ◽

Binding Residues ◽

Protein Sequence Profile ◽

Profile Alignment

Download Full-text

Prediction of phosphorylation sites based on granular support vector machine

Granular Computing ◽

10.1007/s41066-019-00202-5 ◽

2019 ◽

Vol 6 (1) ◽

pp. 107-117

Author(s):

Gong Cheng ◽

Qingfeng Chen ◽

Ruchang Zhang

Keyword(s):

Support Vector Machine ◽

Support Vector ◽

Phosphorylation Sites

Download Full-text

Prediction of human disease-associated phosphorylation sites with combined feature selection approach and support vector machine

IET Systems Biology ◽

10.1049/iet-syb.2014.0051 ◽

2015 ◽

Vol 9 (4) ◽

pp. 155-163 ◽

Author(s):

Xiaoyi Xu ◽

Ao Li ◽

Minghui Wang

Keyword(s):

Support Vector Machine ◽

Feature Selection ◽

Human Disease ◽

Support Vector ◽

Phosphorylation Sites ◽

Selection Approach ◽

Feature Selection Approach ◽

Combined Feature

Download Full-text

Prediction of transporter family from protein sequence by support vector machine approach

Proteins Structure Function and Bioinformatics ◽

10.1002/prot.20605 ◽

2005 ◽

Vol 62 (1) ◽

pp. 218-231 ◽

Author(s):

H. H. Lin ◽

L. Y. Han ◽

C. Z. Cai ◽

Z. L. Ji ◽

Y. Z. Chen

Keyword(s):

Support Vector Machine ◽

Protein Sequence ◽

Support Vector ◽

Transporter Family

Download Full-text

Exploiting Two-Layered Support Vector Machine to Predict Phosphorylation Sites on Virus Proteins

International Journal of Bioscience Biochemistry and Bioinformatics ◽

10.7763/ijbbb.2013.v3.256 ◽

2013 ◽

pp. 460-465

Author(s):

Cheng-Tsung Lu ◽

Kai-Yao Huang ◽

Neil Arvin Bretaña ◽

Wen-Chi Chang ◽

Tzong-Yi Lee

Keyword(s):

Support Vector Machine ◽

Support Vector ◽

Phosphorylation Sites ◽

Download Full-text

Support vector machine learning from heterogeneous data: an empirical analysis using protein sequence and structure

Bioinformatics ◽

10.1093/bioinformatics/btl475 ◽

2006 ◽

Vol 22 (22) ◽

pp. 2753-2760 ◽

Author(s):

Darrin P. Lewis ◽

Tony Jebara ◽

William Stafford Noble

Keyword(s):

Machine Learning ◽

Support Vector Machine ◽

Empirical Analysis ◽

Protein Sequence ◽

Heterogeneous Data ◽

Download Full-text

Identifying protein arginine methylation sites using global features of protein sequence coupled with support vector machine optimized by particle swarm optimization algorithm

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2015.05.011 ◽

2015 ◽

Vol 146 ◽

pp. 102-107 ◽

Author(s):

Yan Zhang ◽

Lijuan Tang ◽

Hongyan Zou ◽

Qin Yang ◽

Xinliang Yu ◽

...

Keyword(s):

Support Vector Machine ◽

Particle Swarm Optimization ◽

Optimization Algorithm ◽

Protein Sequence ◽

Particle Swarm Optimization Algorithm ◽

Arginine Methylation ◽

Support Vector ◽

Global Features ◽

Swarm Optimization ◽

Protein Arginine Methylation

Download Full-text

Faculty Opinions recommendation of Prediction of catalytic residues using Support Vector Machine with selected protein sequence and structural properties.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1047219.497143 ◽

2006 ◽

Author(s):

Burkhard Rost

Keyword(s):

Support Vector Machine ◽

Structural Properties ◽

Protein Sequence ◽

Support Vector ◽

Catalytic Residues

Download Full-text