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A Segmentation-Based Method to Extract Structural and Evolutionary Features for Protein Fold Recognition

contributor authorDehzangi, Abdollah
contributor authorPaliwal, Kuldip
contributor authorLyons, James
contributor authorSharma, Ashok
contributor authorSattar, Abdul
date accessioned2020-03-12T18:37:56Z
date available2020-03-12T18:37:56Z
date issued2014
identifier issn1545-5963
identifier other6693731.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/964985?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleA Segmentation-Based Method to Extract Structural and Evolutionary Features for Protein Fold Recognition
typeJournal Paper
contenttypeMetadata Only
identifier padid7998575
subject keywordsbioinformatics
subject keywordsfeature extraction
subject keywordsmolecular configurations
subject keywordsproteomics
subject keywordssupport vector machines
subject keywordsPFR fast computational approach
subject keywordsPSSM
subject keywordsSPINE-X
subject keywordsSVM
subject keywordsbioinformatics
subject keywordscomputational biology
subject keywordsglobal discriminatory information
subject keywordslocal evolutionary information
subject keywordsposition specific scoring matrix
subject keywordsprotein evolutionary feature extraction
subject keywordsprotein fold prediction accuracy enhancement
subject keywordsprotein fold recognition
subject keywordsprotein predicted secondary structure
subject keywordsprotein structural feature extraction
subject keywordsprotein structure
identifier doi10.1109/TCBB.2013.2296317
journal titleComputational Biology and Bioinformatics, IEEE/ACM Transactions on
journal volume11
journal issue3
filesize998451
citations1


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