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

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Prediction of catalytic residues using Support Vector Machine with selected protein sequence and structural properties

BMC Bioinformatics ◽

10.1186/1471-2105-7-312 ◽

2006 ◽

Vol 7 (1) ◽

Cited By ~ 85

Author(s):

Natalia V Petrova ◽

Cathy H Wu

Keyword(s):

Support Vector Machine ◽

Structural Properties ◽

Protein Sequence ◽

Support Vector ◽

Catalytic Residues

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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

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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

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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 ◽

Cited By ~ 77

Author(s):

Yongchao Dou ◽

Bo Yao ◽

Chi Zhang

Keyword(s):

Support Vector Machine ◽

Protein Sequence ◽

Support Vector ◽

Phosphorylation Sites

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Identification of catalytic residues from protein structure using support vector machine with sequence and structural features

Biochemical and Biophysical Research Communications ◽

10.1016/j.bbrc.2008.01.038 ◽

2008 ◽

Vol 367 (3) ◽

pp. 630-634 ◽

Cited By ~ 26

Author(s):

Ganesan Pugalenthi ◽

K. Krishna Kumar ◽

P.N. Suganthan ◽

Rajeev Gangal

Keyword(s):

Support Vector Machine ◽

Protein Structure ◽

Structural Features ◽

Support Vector ◽

Catalytic Residues

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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 ◽

Cited By ~ 41

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

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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 ◽

Cited By ~ 60

Author(s):

Darrin P. Lewis ◽

Tony Jebara ◽

William Stafford Noble

Keyword(s):

Machine Learning ◽

Support Vector Machine ◽

Empirical Analysis ◽

Protein Sequence ◽

Heterogeneous Data ◽

Support Vector

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Support Vector Machine-based classification of protein folds using the structural properties of amino acid residues and amino acid residue pairs

Bioinformatics ◽

10.1093/bioinformatics/btm527 ◽

2007 ◽

Vol 23 (24) ◽

pp. 3320-3327 ◽

Cited By ~ 69

Author(s):

Mohammad Tabrez Anwar Shamim ◽

Mohammad Anwaruddin ◽

H.A. Nagarajaram

Keyword(s):

Support Vector Machine ◽

Amino Acid ◽

Structural Properties ◽

Amino Acid Residue ◽

Support Vector ◽

Amino Acid Residues ◽

Protein Folds

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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 ◽

Cited By ~ 10

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

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Prediction of protein structural class using a combined representation of protein-sequence information and support vector machine

2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW) ◽

10.1109/bibmw.2010.5703781 ◽

2010 ◽

Author(s):

Li Wu ◽

Qi Dai ◽

Bin Han ◽

Lei Zhu ◽

Lihua Li

Keyword(s):

Support Vector Machine ◽

Protein Sequence ◽

Support Vector ◽

Sequence Information ◽

Structural Class ◽

Protein Structural Class

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