Predicting enzyme class from protein structural parameters and bagging predictors.

Predicting enzyme class from protein structural parameters and bagging predictors.

Short Abstract: In this work we present a new method to classify enzymes that uses the STING_DB physical-chemical parameters and Bagging predictors. By building models based on "decision tree" and "neural network", we obtained an accuracy of 74% on average. These results outperform the similar models proposed in literature.

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Main Authors: YAMAGISHI, M. E. B., OLIVEIRA, S. R. M., BORRO, L. C., SANTOS, E. H., JARDINE, J. G., VIEIRA, F. D., MAZONI, I., NARCISO, M. G., KUSER-FALCÃO, P. R., NESHICH, G.
Other Authors: MICHEL EDUARDO BELEZA YAMAGISHI, CNPTIA; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; LUIZ C. BORRO; EDGARD HENRIQUE DOS SANTOS, CNPTIA; JOSÉ GILBERTO JARDINE, CNPTIA; FÁBIO DANILO VIEIRA, CNPTIA; IVAN MAZONI, CNPTIA; MARCELO GONCALVES NARCISO, CNPTIA; PAULA REGINA KUSER FALCÃO, CNPTIA; GORAN NESHICH, CNPTIA.
Format: Anais e Proceedings de eventos biblioteca
Language:Ingles
English
Published: 2006-08-17
Subjects:Parâmetros estruturais da proteína, Parâmetros de Sting_DB, Bioinformática, Proteina, Enzima, Proteins, Enzymes, Bioinformatics,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/9310
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spelling dig-alice-doc-93102022-05-17T18:13:52Z Predicting enzyme class from protein structural parameters and bagging predictors. YAMAGISHI, M. E. B. OLIVEIRA, S. R. M. BORRO, L. C. SANTOS, E. H. JARDINE, J. G. VIEIRA, F. D. MAZONI, I. NARCISO, M. G. KUSER-FALCÃO, P. R. NESHICH, G. MICHEL EDUARDO BELEZA YAMAGISHI, CNPTIA; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; LUIZ C. BORRO; EDGARD HENRIQUE DOS SANTOS, CNPTIA; JOSÉ GILBERTO JARDINE, CNPTIA; FÁBIO DANILO VIEIRA, CNPTIA; IVAN MAZONI, CNPTIA; MARCELO GONCALVES NARCISO, CNPTIA; PAULA REGINA KUSER FALCÃO, CNPTIA; GORAN NESHICH, CNPTIA. Parâmetros estruturais da proteína Parâmetros de Sting_DB Bioinformática Proteina Enzima Proteins Enzymes Bioinformatics Short Abstract: In this work we present a new method to classify enzymes that uses the STING_DB physical-chemical parameters and Bagging predictors. By building models based on "decision tree" and "neural network", we obtained an accuracy of 74% on average. These results outperform the similar models proposed in literature. ISMB, X-MEETING 2006. Poster I-13. 2022-05-17T18:13:45Z 2022-05-17T18:13:45Z 2006-08-17 2006 Anais e Proceedings de eventos In: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY, 14.; ANNUAL AB3C CONFERENCE, 2., 2006, Fortaleza. Conference Program... Fortaleza: ISCB, 2006. http://www.alice.cnptia.embrapa.br/alice/handle/doc/9310 Ingles en openAccess Não paginado.
institution EMBRAPA
collection DSpace
country Brasil
countrycode BR
component Bibliográfico
access En linea
databasecode dig-alice
tag biblioteca
region America del Sur
libraryname Sistema de bibliotecas de EMBRAPA
language Ingles
English
topic Parâmetros estruturais da proteína
Parâmetros de Sting_DB
Bioinformática
Proteina
Enzima
Proteins
Enzymes
Bioinformatics
Parâmetros estruturais da proteína
Parâmetros de Sting_DB
Bioinformática
Proteina
Enzima
Proteins
Enzymes
Bioinformatics
spellingShingle Parâmetros estruturais da proteína
Parâmetros de Sting_DB
Bioinformática
Proteina
Enzima
Proteins
Enzymes
Bioinformatics
Parâmetros estruturais da proteína
Parâmetros de Sting_DB
Bioinformática
Proteina
Enzima
Proteins
Enzymes
Bioinformatics
YAMAGISHI, M. E. B.
OLIVEIRA, S. R. M.
BORRO, L. C.
SANTOS, E. H.
JARDINE, J. G.
VIEIRA, F. D.
MAZONI, I.
NARCISO, M. G.
KUSER-FALCÃO, P. R.
NESHICH, G.
Predicting enzyme class from protein structural parameters and bagging predictors.
description Short Abstract: In this work we present a new method to classify enzymes that uses the STING_DB physical-chemical parameters and Bagging predictors. By building models based on "decision tree" and "neural network", we obtained an accuracy of 74% on average. These results outperform the similar models proposed in literature.
author2 MICHEL EDUARDO BELEZA YAMAGISHI, CNPTIA; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; LUIZ C. BORRO; EDGARD HENRIQUE DOS SANTOS, CNPTIA; JOSÉ GILBERTO JARDINE, CNPTIA; FÁBIO DANILO VIEIRA, CNPTIA; IVAN MAZONI, CNPTIA; MARCELO GONCALVES NARCISO, CNPTIA; PAULA REGINA KUSER FALCÃO, CNPTIA; GORAN NESHICH, CNPTIA.
author_facet MICHEL EDUARDO BELEZA YAMAGISHI, CNPTIA; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; LUIZ C. BORRO; EDGARD HENRIQUE DOS SANTOS, CNPTIA; JOSÉ GILBERTO JARDINE, CNPTIA; FÁBIO DANILO VIEIRA, CNPTIA; IVAN MAZONI, CNPTIA; MARCELO GONCALVES NARCISO, CNPTIA; PAULA REGINA KUSER FALCÃO, CNPTIA; GORAN NESHICH, CNPTIA.
YAMAGISHI, M. E. B.
OLIVEIRA, S. R. M.
BORRO, L. C.
SANTOS, E. H.
JARDINE, J. G.
VIEIRA, F. D.
MAZONI, I.
NARCISO, M. G.
KUSER-FALCÃO, P. R.
NESHICH, G.
format Anais e Proceedings de eventos
topic_facet Parâmetros estruturais da proteína
Parâmetros de Sting_DB
Bioinformática
Proteina
Enzima
Proteins
Enzymes
Bioinformatics
author YAMAGISHI, M. E. B.
OLIVEIRA, S. R. M.
BORRO, L. C.
SANTOS, E. H.
JARDINE, J. G.
VIEIRA, F. D.
MAZONI, I.
NARCISO, M. G.
KUSER-FALCÃO, P. R.
NESHICH, G.
author_sort YAMAGISHI, M. E. B.
title Predicting enzyme class from protein structural parameters and bagging predictors.
title_short Predicting enzyme class from protein structural parameters and bagging predictors.
title_full Predicting enzyme class from protein structural parameters and bagging predictors.
title_fullStr Predicting enzyme class from protein structural parameters and bagging predictors.
title_full_unstemmed Predicting enzyme class from protein structural parameters and bagging predictors.
title_sort predicting enzyme class from protein structural parameters and bagging predictors.
publishDate 2006-08-17
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/9310
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