Cargando…

PKSIIIexplorer: TSVM approach for predicting Type III polyketide synthase proteins

PKSIIIexplorer, a web server based on ‘transductive Support Vector Machine’ allows fast and reliable prediction of Type III polyketide synthase proteins. It provides a simple unique platform to identify the probability of a particular sequence, being a type III polyketide synthases or not with moder...

Descripción completa

Detalles Bibliográficos
Autores principales: Vijayan, Mallika, Chandrika, Sivakumar Krishnankutty, Vasudevan, Soniya Eppurathu
Formato: Texto
Lenguaje:English
Publicado: Biomedical Informatics 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3089887/
https://www.ncbi.nlm.nih.gov/pubmed/21584189
_version_ 1782203093900853248
author Vijayan, Mallika
Chandrika, Sivakumar Krishnankutty
Vasudevan, Soniya Eppurathu
author_facet Vijayan, Mallika
Chandrika, Sivakumar Krishnankutty
Vasudevan, Soniya Eppurathu
author_sort Vijayan, Mallika
collection PubMed
description PKSIIIexplorer, a web server based on ‘transductive Support Vector Machine’ allows fast and reliable prediction of Type III polyketide synthase proteins. It provides a simple unique platform to identify the probability of a particular sequence, being a type III polyketide synthases or not with moderately high accuracy. We hope that our method could serve as a useful program for the type III polyketide researchers. The tool is available at “http://type3pks.in/tsvm/pks3”. ABBREVIATIONS: PKS - Polyketide synthase, CHS - Chalcone synthase, SVM - Support vector machine, MCC - Matthews Correlation Coefficient.
format Text
id pubmed-3089887
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher Biomedical Informatics
record_format MEDLINE/PubMed
spelling pubmed-30898872011-05-16 PKSIIIexplorer: TSVM approach for predicting Type III polyketide synthase proteins Vijayan, Mallika Chandrika, Sivakumar Krishnankutty Vasudevan, Soniya Eppurathu Bioinformation Software PKSIIIexplorer, a web server based on ‘transductive Support Vector Machine’ allows fast and reliable prediction of Type III polyketide synthase proteins. It provides a simple unique platform to identify the probability of a particular sequence, being a type III polyketide synthases or not with moderately high accuracy. We hope that our method could serve as a useful program for the type III polyketide researchers. The tool is available at “http://type3pks.in/tsvm/pks3”. ABBREVIATIONS: PKS - Polyketide synthase, CHS - Chalcone synthase, SVM - Support vector machine, MCC - Matthews Correlation Coefficient. Biomedical Informatics 2011-04-22 /pmc/articles/PMC3089887/ /pubmed/21584189 Text en © 2011 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.
spellingShingle Software
Vijayan, Mallika
Chandrika, Sivakumar Krishnankutty
Vasudevan, Soniya Eppurathu
PKSIIIexplorer: TSVM approach for predicting Type III polyketide synthase proteins
title PKSIIIexplorer: TSVM approach for predicting Type III polyketide synthase proteins
title_full PKSIIIexplorer: TSVM approach for predicting Type III polyketide synthase proteins
title_fullStr PKSIIIexplorer: TSVM approach for predicting Type III polyketide synthase proteins
title_full_unstemmed PKSIIIexplorer: TSVM approach for predicting Type III polyketide synthase proteins
title_short PKSIIIexplorer: TSVM approach for predicting Type III polyketide synthase proteins
title_sort pksiiiexplorer: tsvm approach for predicting type iii polyketide synthase proteins
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3089887/
https://www.ncbi.nlm.nih.gov/pubmed/21584189
work_keys_str_mv AT vijayanmallika pksiiiexplorertsvmapproachforpredictingtypeiiipolyketidesynthaseproteins
AT chandrikasivakumarkrishnankutty pksiiiexplorertsvmapproachforpredictingtypeiiipolyketidesynthaseproteins
AT vasudevansoniyaeppurathu pksiiiexplorertsvmapproachforpredictingtypeiiipolyketidesynthaseproteins