(Q43644496)

25 November 2017

title

Prediction of active sites of enzymes by maximum relevance minimum redundancy (mRMR) feature selection (English)

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25 November 2017

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3

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25 November 2017

Yu-Fei Gao

1

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25 November 2017

Bi-Qing Li

2

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25 November 2017

Kai-Yan Feng

4

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25 November 2017

Zhan-Dong Li

5

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25 November 2017

Yang Jiang

6

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25 November 2017

publication date

2 November 2012

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25 November 2017

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25 November 2017

volume

9

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25 November 2017

issue

1

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25 November 2017

page(s)

61-69

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The Catalytic Site Atlas: a resource of catalytic sites and residues identified in enzymes using structural data

25 November 2017

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Linking enzyme sequence to function using Conserved Property Difference Locator to identify and annotate positions likely to control specific functionality

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Using a neural network and spatial clustering to predict the location of active sites in enzymes

21 January 2018

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21 January 2018

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Loopy proteins appear conserved in evolution.

21 January 2018

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21 January 2018

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21 January 2018

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21 January 2018

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Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy

21 January 2018

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Computational prediction and analysis of protein γ-carboxylation sites based on a random forest method.

21 January 2018

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Prediction of protein domain with mRMR feature selection and analysis

21 January 2018

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Prediction of protein-protein interaction sites by random forest algorithm with mRMR and IFS

21 January 2018

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Identifying Important Risk Factors for Survival in Kidney Graft Failure Patients Using Random Survival Forests

21 January 2018

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Classification and analysis of regulatory pathways using graph property, biochemical and physicochemical property, and functional property

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

21 January 2018

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21 January 2018

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21 January 2018

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21 January 2018

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SVMTriP: a method to predict antigenic epitopes using support vector machine to integrate tri-peptide similarity and propensity

21 January 2018

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Prediction of flavin mono-nucleotide binding sites using modified PSSM profile and ensemble support vector machine

21 January 2018

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Molecular prognostic prediction for locally advanced nasopharyngeal carcinoma by support vector machine integrated approach

21 January 2018

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Predict and analyze S-nitrosylation modification sites with the mRMR and IFS approaches.

21 January 2018

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Prediction and analysis of protein palmitoylation sites.

21 January 2018

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Identification of colorectal cancer related genes with mRMR and shortest path in protein-protein interaction network

21 January 2018

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Some remarks on protein attribute prediction and pseudo amino acid composition

21 January 2018

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Prediction of protein cleavage site with feature selection by random forest

21 January 2018

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https://api.crossref.org/works/10.1039%2FC2MB25327E

Predicting active site residue annotations in the Pfam database

21 January 2018

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https://api.crossref.org/works/10.1039%2FC2MB25327E

Residue 225 determines the Na(+)-induced allosteric regulation of catalytic activity in serine proteases

21 January 2018

1 reference

https://api.crossref.org/works/10.1039%2FC2MB25327E

Theoretical investigation of the dynamics of the active site lid in Rhizomucor miehei lipase

21 January 2018

1 reference

https://api.crossref.org/works/10.1039%2FC2MB25327E

Active site identification through geometry-based and sequence profile-based calculations: burial of catalytic clefts

21 January 2018

1 reference

https://api.crossref.org/works/10.1039%2FC2MB25327E

An Accurate, Sensitive, and Scalable Method to Identify Functional Sites in Protein Structures

21 January 2018

1 reference

https://api.crossref.org/works/10.1039%2FC2MB25327E

Evolution of an active-site codon in serine proteases

21 January 2018

1 reference

https://api.crossref.org/works/10.1039%2FC2MB25327E

21 January 2018

Identifiers

DOI

10.1039/C2MB25327E

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25 November 2017

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