Alignment-free prediction of mycobacterial DNA promoters based on pseudo-folding lattice network or star-graph topological indices

DOI10.1016/j.jtbi.2008.09.035zbMath1400.92197OpenAlexW2066101625WikidataQ34875531 ScholiaQ34875531MaRDI QIDQ1617379

Alexandre Lopes De Magalhães, Alcides Perez-Bello, Florencio M. Ubeira, Eugenio Uriarte, Cristian Robert Munteanu, Humberto González Díaz

Publication date: 8 November 2018

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

Full work available at URL: http://europepmc.org/articles/pmc7126577

zbMATH Keywords

Markov modelQSARtopological indiceslattice networkmycobacterial promotersstar-graph

Mathematics Subject Classification ID

Biochemistry, molecular biology (92C40) Protein sequences, DNA sequences (92D20)

Related Items (6)

Protein functional class prediction using global encoding of amino acid sequence ⋮ A network-QSAR model for prediction of genetic-component biomarkers in human colorectal cancer ⋮ A novel descriptor of protein sequences and its application ⋮ Markov mean properties for cell death-related protein classification ⋮ Characterization of structure-antioxidant activity relationship of peptides in free radical systems using QSAR models: key sequence positions and their amino acid properties ⋮ Predicting promoters by pseudo-trinucleotide compositions based on discrete wavelets transform

Uses Software

• STATISTICA
• Cell-PLoc
• ToMoCoMD-CARDD
• Signal-CF
• Hum-PLoc
• FORESST
• DINAMelt

Cites Work

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• Prediction of apoptosis protein subcellular location using improved hybrid approach and pseudo-amino acid composition
• New 3D graphical representation of DNA sequence based on dual nucleotides
• The community structure of human cellular signaling network

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