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

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

<p>Abstract</p> <p>Background</p> <p>The number of protein sequences deriving from genome sequencing projects is outpacing our knowledge about the function of these proteins. With the gap between experimentally characterized and uncharacterized proteins continuing to wi...

Full description

Bibliographic Details
Main Authors:	Wu Cathy H, Petrova Natalia V
Format:	Article
Language:	English
Published:	BMC 2006-06-01
Series:	BMC Bioinformatics
Online Access:	http://www.biomedcentral.com/1471-2105/7/312

Similar Items

Prediction of protein residue contact using support vector machine
by: Chan, Weng Howe, et al.
Published: (2012)

Prediction of protein residue contact using support vector machine /
by: Chan, Weng Howe, 1987-, author,, et al.
Published: (2011)

Prediction of protein residue contact using support vector machine
by: Chan, Weng Howe, et al.
Published: (2011)

Predictions of hot spot residues at protein-protein interfaces using support vector machines.
by: Stefano Lise, et al.
Published: (2011-02-01)

Prediction of protein residue contact using support vector machine [electronic resource] /
by: Chan, Weng Howe, 1987-, author,
Published: (2011)

Prediction of protein-protein binding site by using core interface residue and support vector machine
by: Sun Zhonghua, et al.
Published: (2008-12-01)

Predicting proteins interactions from protein sequence features using support vector machines
by: Alashwal, Hany Taher Ahmed, et al.
Published: (2017)

Support Vector Machines for predicting protein structural class
by: Xu Xue-biao, et al.
Published: (2001-06-01)

Prediction of Functional Class of Proteins and Peptides Irrespective of Sequence Homology by Support Vector Machines
by: Zhi Qun Tang, et al.
Published: (2007-10-01)

Prediction of Functional Class of Proteins and Peptides Irrespective of Sequence Homology by Support Vector Machines
by: Zhi Qun Tang, et al.
Published: (2007-01-01)

Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector machine approach
by: Cao ZW, et al.
Published: (2006-12-01)

Protein local structure prediction using support vector machine /
by: Kwong, Pei Yeen, 1986-, et al.
Published: (2010)

Protein - protein interactions prediction using support vector machines /
by: 350965 Hany Taher Ahmed Alashwal, et al.
Published: (2007)

BLProt: prediction of bioluminescent proteins based on support vector machine and relieff feature selection
by: Hazrati Mehrnaz, et al.
Published: (2011-08-01)

Predicting residue-wise contact orders in proteins by support vector regression
by: Burrage Kevin, et al.
Published: (2006-10-01)

Two-stage support vector machines for protein structure and solvent prediction
by: Nguyen, Ngoc Minh
Published: (2008)

One-class support vector machines for protein-protein interactions prediction
by: Alashwal, H., et al.
Published: (2006)

PVP-SVM: Sequence-Based Prediction of Phage Virion Proteins Using a Support Vector Machine
by: Balachandran Manavalan, et al.
Published: (2018-03-01)

Optimized local protein structure with support vector machine to predict protein secondary structure
by: Yin, Fai Chin, et al.
Published: (2012)

Optimized local protein structure with support vector machine to predict protein secondary structure /
by: Chin, Yin Fai, 1988- author,, et al.
Published: (2011)

Prediction of Protein Essentiality by the Support Vector Machine with Statistical Tests
by: Chiou-Yi Hor, et al.
Published: (2013-01-01)

Transmembrane protein topology prediction using support vector machines
by: Nugent Timothy, et al.
Published: (2009-05-01)

Prediction of Protein Essentiality by the Support Vector Machine with Statistical Tests
by: Chiou-Ting Tseng, et al.
Published: (2013-10-01)

Properties of Support Vector Machines
by: Pontil, Massimiliano, et al.
Published: (2004)

Protein secondary structure prediction using optimal local protein structure and support vector machine
by: Chin, Yin Fai, et al.
Published: (2012)

Protein - protein interactions prediction using support vector machines [compact disc] /
by: 350965 Hany Taher Ahmed Alashwal, et al.
Published: (2007)

Protein local structure prediction using support vector machine [electronic resource] /
by: Kwong, Pei Yeen, 1986-
Published: (2010)

Feature selection for stock trend prediction via support vector machine
by: Ng, Ivan Wei Jun.
Published: (2013)

Predicting Primary Sequence-Based Protein-Protein Interactions Using a Mercer Series Representation of Nonlinear Support Vector Machine
by: Omid Chatrabgoun, et al.
Published: (2022-01-01)

Improved residue contact prediction using support vector machines and a large feature set
by: Baldi Pierre, et al.
Published: (2007-04-01)

Prediction of protein binding sites in protein structures using hidden Markov support vector machine
by: Lin Lei, et al.
Published: (2009-11-01)

Mammalian microRNA prediction through a support vector machine model of sequence and structure.
by: Ying Sheng, et al.
Published: (2007-01-01)

Detecting Succinylation sites from protein sequences using ensemble support vector machine
by: Qiao Ning, et al.
Published: (2018-06-01)

Contextualizing Support Vector Machine Predictions
by: Marcelo Loor, et al.
Published: (2020-09-01)

Optimized local protein structure with support vector machine to predict protein secondary structure [electronic resource] /
by: Chin, Yin Fai, 1988- author,
Published: (2011)

Subcellular location prediction of proteins using support vector machines with alignment of block sequences utilizing amino acid composition
by: Akutsu Tatsuya, et al.
Published: (2007-11-01)

Support vector machines for predicting protein-protein interactions using domains and hydrophobicity features /
by: Hany Alashwal, author, et al.
Published: (2006)

Support vector machines for predicting protein-protein interactions using domains and hydrophobicity features
by: Alashwal, Hany Taher Ahmed, et al.
Published: (2006)

Accurate prediction of protein catalytic residues by side chain orientation and residue contact density.
by: Yu-Tung Chien, et al.
Published: (2012-01-01)

Efficient parameter selection of support vector machines
by: Ismael, Kamarulafizam, et al.
Published: (2008)