ArticleJournal of protein chemistry1999
Using pair-coupled amino acid composition to predict protein secondary structure content.
Article in Journal of protein chemistry, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Article
- A Review for Artificial Intelligence Based Protein Subcellular Localization.Biomolecules · 2024Review
- iSuc-ChiDT: a computational method for identifying succinylation sites using statistical difference table encoding and the chi-square decision table classifier.BioData mining · 2022Article
- Prediction of HIV-1 and HIV-2 proteins by using Chou's pseudo amino acid compositions and different classifiers.Scientific reports · 2018Article
- PredHSP: Sequence Based Proteome-Wide Heat Shock Protein Prediction and Classification Tool to Unlock the Stress Biology.PloS one · 2016Article
- iRSpot-TNCPseAAC: identify recombination spots with trinucleotide composition and pseudo amino acid components.International journal of molecular sciences · 2014Article
- Article
- iNitro-Tyr: prediction of nitrotyrosine sites in proteins with general pseudo amino acid composition.PloS one · 2014Article
- iEzy-drug: a web server for identifying the interaction between enzymes and drugs in cellular networking.BioMed research international · 2013Article
- Dimensionality reduction in computational demarcation of protein tertiary structures.Journal of molecular modeling · 2012Article
- NClassG+: A classifier for non-classically secreted Gram-positive bacterial proteins.BMC bioinformatics · 2011Article
- Genome wide exploration of the origin and evolution of amino acids.BMC evolutionary biology · 2010Article
- Characterization of protein secondary structure from NMR chemical shifts.Progress in nuclear magnetic resonance spectroscopy · 2009Article
- Semi-supervised protein subcellular localization.BMC bioinformatics · 2009Article
- Predicting enzyme family class in a hybridization space.Protein science : a publication of the Protein Society · 2004Article
- Support vector machines for predicting membrane protein types by using functional domain composition.Biophysical journal · 2003Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The pair-coupled amino acid composition is introduced to predict the secondary structure contents of a protein. Compared with the existing methods all based on singlewise amino acid composition as defined in a 20D (dimensional) space, this represents a step forward to the consideration of the sequence coupling effect. The test results indicate that the introduction of the pair-coupled amino acid composition can significantly improve the prediction quality. It is anticipated that the concept of the pair-coupled amino acid composition can be used to simplify the formulation of sequence coupling (or sequence order) effects and to study many other features of proteins as well.
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