2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function

Involved with important cellular or gene functions and implicated with many kinds of cancers, piRNAs, or piwi-interacting RNAs, are of small non-coding RNA with around 19–33 nt in length. Given a small non-coding RNA molecule, can we predict whether it is of piRNA according to its sequence informati...

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Main Authors: Bin Liu, Fan Yang, Kuo-Chen Chou
Format: Article
Language:English
Published: Elsevier 2017-06-01
Series:Molecular Therapy: Nucleic Acids
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2162253117301580
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author Bin Liu
Fan Yang
Kuo-Chen Chou
author_facet Bin Liu
Fan Yang
Kuo-Chen Chou
author_sort Bin Liu
collection DOAJ
description Involved with important cellular or gene functions and implicated with many kinds of cancers, piRNAs, or piwi-interacting RNAs, are of small non-coding RNA with around 19–33 nt in length. Given a small non-coding RNA molecule, can we predict whether it is of piRNA according to its sequence information alone? Furthermore, there are two types of piRNA: one has the function of instructing target mRNA deadenylation, and the other does not. Can we discriminate one from the other? With the avalanche of RNA sequences emerging in the postgenomic age, it is urgent to address the two problems for both basic research and drug development. Unfortunately, to the best of our knowledge, so far no computational methods whatsoever could be used to deal with the second problem, let alone deal with the two problems together. Here, by incorporating the physicochemical properties of nucleotides into the pseudo K-tuple nucleotide composition (PseKNC), we proposed a powerful predictor called 2L-piRNA. It is a two-layer ensemble classifier, in which the first layer is for identifying whether a query RNA molecule is piRNA or non-piRNA, and the second layer for identifying whether a piRNA is with or without the function of instructing target mRNA deadenylation. Rigorous cross-validations have indicated that the success rates achieved by the proposed predictor are quite high. For the convenience of most biologists and drug development scientists, the web server for 2L-piRNA has been established at http://bioinformatics.hitsz.edu.cn/2L-piRNA/, by which users can easily get their desired results without the need to go through the mathematical details.
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spelling doaj.art-6829915d42da4f8292efce97b55361ae2022-12-22T00:18:23ZengElsevierMolecular Therapy: Nucleic Acids2162-25312017-06-017C26727710.1016/j.omtn.2017.04.0082L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their FunctionBin Liu0Fan Yang1Kuo-Chen Chou2School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong 518055, ChinaSchool of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong 518055, ChinaGordon Life Science Institute, Belmont, MA 02478, USAInvolved with important cellular or gene functions and implicated with many kinds of cancers, piRNAs, or piwi-interacting RNAs, are of small non-coding RNA with around 19–33 nt in length. Given a small non-coding RNA molecule, can we predict whether it is of piRNA according to its sequence information alone? Furthermore, there are two types of piRNA: one has the function of instructing target mRNA deadenylation, and the other does not. Can we discriminate one from the other? With the avalanche of RNA sequences emerging in the postgenomic age, it is urgent to address the two problems for both basic research and drug development. Unfortunately, to the best of our knowledge, so far no computational methods whatsoever could be used to deal with the second problem, let alone deal with the two problems together. Here, by incorporating the physicochemical properties of nucleotides into the pseudo K-tuple nucleotide composition (PseKNC), we proposed a powerful predictor called 2L-piRNA. It is a two-layer ensemble classifier, in which the first layer is for identifying whether a query RNA molecule is piRNA or non-piRNA, and the second layer for identifying whether a piRNA is with or without the function of instructing target mRNA deadenylation. Rigorous cross-validations have indicated that the success rates achieved by the proposed predictor are quite high. For the convenience of most biologists and drug development scientists, the web server for 2L-piRNA has been established at http://bioinformatics.hitsz.edu.cn/2L-piRNA/, by which users can easily get their desired results without the need to go through the mathematical details.http://www.sciencedirect.com/science/article/pii/S2162253117301580non-coding RNApiRNAmRNA deadenylationcancersphysicochemical propertiesPseKNCweb server
spellingShingle Bin Liu
Fan Yang
Kuo-Chen Chou
2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function
Molecular Therapy: Nucleic Acids
non-coding RNA
piRNA
mRNA deadenylation
cancers
physicochemical properties
PseKNC
web server
title 2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function
title_full 2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function
title_fullStr 2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function
title_full_unstemmed 2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function
title_short 2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function
title_sort 2l pirna a two layer ensemble classifier for identifying piwi interacting rnas and their function
topic non-coding RNA
piRNA
mRNA deadenylation
cancers
physicochemical properties
PseKNC
web server
url http://www.sciencedirect.com/science/article/pii/S2162253117301580
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AT kuochenchou 2lpirnaatwolayerensembleclassifierforidentifyingpiwiinteractingrnasandtheirfunction