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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPEW34M/4395EF2
Repositorysid.inpe.br/sibgrapi/2020/09.15.23.42
Last Update2020:09.15.23.42.37 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2020/09.15.23.42.37
Metadata Last Update2022:06.14.00.00.04 (UTC) administrator
DOI10.1109/SIBGRAPI51738.2020.00049
Citation KeyOliveiraPedrDias:2020:FuBLEn
TitleFusion of BLAST and Ensemble of Classifiers for Protein Secondary Structure Prediction
FormatOn-line
Year2020
Access Date2024, Apr. 28
Number of Files1
Size218 KiB
2. Context
Author1 Oliveira, Gabriel Bianchin de
2 Pedrini, Helio
3 Dias, Zanoni
Affiliation1 Institute of Computing, University of Campinas, Campinas, SP, Brazil, 13083-852
2 Institute of Computing, University of Campinas, Campinas, SP, Brazil, 13083-852
3 Institute of Computing, University of Campinas, Campinas, SP, Brazil, 13083-852
EditorMusse, Soraia Raupp
Cesar Junior, Roberto Marcondes
Pelechano, Nuria
Wang, Zhangyang (Atlas)
e-Mail Addresshelio@ic.unicamp.br
Conference NameConference on Graphics, Patterns and Images, 33 (SIBGRAPI)
Conference LocationPorto de Galinhas (virtual)
Date7-10 Nov. 2020
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2020-09-15 23:42:37 :: helio@ic.unicamp.br -> administrator ::
2022-06-14 00:00:04 :: administrator -> helio@ic.unicamp.br :: 2020
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsProtein Structure Prediction
Classifier Ensemble
Amino Acid Sequence
AbstractThe prediction of protein secondary structure has great relevance in the analysis of global protein folding. In this work, we present a method for protein secondary structure prediction using the fusion of BLAST and the ensemble of local and global classifiers. We used the amino acid sequence and sequence similarity information available in the datasets and we explored other amino acid characteristics. In order to evaluate our method, we used the files from PDB (only from the year 2018), as well as CB6133 and CB513 datasets. We achieved 87.7%, 82.4% and 85.6% Q8 accuracy on PDB 2018, CB6133 and CB513 proteins using the amino acid sequence and amino acid biological properties, 84.7% and 87.5% Q8 accuracy on CB6133 and CB513 proteins using the amino acid sequence and similarity sequence information and 92.5% Q3 accuracy on PDB 2018 proteins using the amino acid sequence and amino acid biological properties. Our method presented competitive results using only BLAST and only the ensemble of classifiers. The fusion of both approaches achieved superior results compared to state-of-the-art approaches.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2020 > Fusion of BLAST...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Fusion of BLAST...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPEW34M/4395EF2
zipped data URLhttp://urlib.net/zip/8JMKD3MGPEW34M/4395EF2
Languageen
Target FilePID6614063.pdf
User Grouphelio@ic.unicamp.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/43G4L9S
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2020/10.28.20.46 2
sid.inpe.br/banon/2001/03.30.15.38.24 1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume
7. Description control
e-Mail (login)helio@ic.unicamp.br
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