ArticleThe Journal of membrane biology2016
Predicting the Functional Types of Singleplex and Multiplex Eukaryotic Membrane Proteins via Different Models of Chou's Pseudo Amino Acid Compositions.
Article in The Journal of membrane biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- Ensemble of Multiple Classifiers for Multilabel Classification of Plant Protein Subcellular Localization.Life (Basel, Switzerland) · 2021Article
- Some illuminating remarks on molecular genetics and genomics as well as drug development.Molecular genetics and genomics : MGG · 2020Review
- Predicting membrane proteins and their types by extracting various sequence features into Chou's general PseAAC.Molecular biology reports · 2018Article
- Classifying Multifunctional Enzymes by Incorporating Three Different Models into Chou's General Pseudo Amino Acid Composition.The Journal of membrane biology · 2016Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Given a membrane protein sequence, how can we identify its type, particularly when a query protein may have the multiplex character, i.e., simultaneously exist at two or more different types. However, most of the existing predictors or methods can only be used to deal with the single-type or "singleplex" membrane proteins. Actually, multiple-type or "multiplex" membrane proteins should not be ignored because they usually posses some unique biological functions worthy of our special notice. In this study, three different models were developed, which have the ability to deal with the systems containing both singleplex and multiplex membrane proteins. The overall success rate thus obtained was 0.6440, indicating that the study may become a very useful high-throughput tool in identifying the functional types of membrane proteins.
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Registered trials
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