Protein classification using texture descriptors extracted from the protein backbone image

DOI10.1016/j.jtbi.2010.03.020zbMath1406.92468OpenAlexW2002813366WikidataQ56988398 ScholiaQ56988398MaRDI QIDQ1719801

Alessandra Lumini, Jian-Yu Shi, Loris Nanni, Sheryl Brahnam

Publication date: 12 February 2019

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2010.03.020

zbMATH Keywords

Radon transformprotein classificationlocal binary patternsHaralick featuresprimary structure

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Pattern recognition, speech recognition (68T10) Protein sequences, DNA sequences (92D20)

Uses Software

• Cell-PLoc
• Memtype-2L
• ProtIdent
• GPCR-CA
• Signal-CF
• AAindex
• FoldRate
• pSLIP

Cites Work

• Unnamed Item
• The theory and practice of distance geometry
• Use of fuzzy clustering technique and matrices to classify amino acids and its impact to Chou's pseudo amino acid composition
• Using the augmented Chou's pseudo amino acid composition for predicting protein submitochondria locations based on auto covariance approach
• The modified Mahalanobis discriminant for predicting outer membrane proteins by using Chou's pseudo amino acid composition
• Predicting protein structural classes with pseudo amino acid composition: an approach using geometric moments of cellular automaton image
• Identify catalytic triads of serine hydrolases by support vector machines
• Using Chou's amphiphilic pseudo-amino acid composition and support vector machine for prediction of enzyme subfamily classes
• Dominant Local Binary Patterns for Texture Classification

This page was built for publication: Protein classification using texture descriptors extracted from the protein backbone image