NN-PRED: A novel consensus secondary structure prediction program using neural networks
In this paper, a new program for protein secondary structure prediction is proposed. The program, which is called NN-Pred, allows multiple sequences to be submitted and it returns predictions from fve secondary structure prediction algorithms. In addition, NN-Pred calculates a consensus prediction,...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad Industrial de Santander
2013-03-01
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| Series: | Revista UIS Ingenierías |
| Subjects: | |
| Online Access: | https://revistas.uis.edu.co/index.php/revistauisingenierias/article/view/3711 |
| _version_ | 1818213149402202112 |
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| author | Oscar Fernando Bedoya Leiva Eduard Alberto Satizábal Tascón |
| author_facet | Oscar Fernando Bedoya Leiva Eduard Alberto Satizábal Tascón |
| author_sort | Oscar Fernando Bedoya Leiva |
| collection | DOAJ |
| description | In this paper, a new program for protein secondary structure prediction is proposed. The program, which is called NN-Pred, allows multiple sequences to be submitted and it returns predictions from fve secondary structure prediction algorithms. In addition, NN-Pred calculates a consensus prediction, which is based on a neural network strategy that is used in this paper to improve the prediction accuracy. NN-Pred was obtained by using a methodology called consensus strategy, which tries to make a better prediction by integrating some of the most remarkable existing techniques. The NN-Pred program provides a three-state (alpha-helix, beta-sheet, and other) prediction of secondary structure. According to the test sets, the prediction accuracy of NN-Pred is at least 70%, surpassing most of the existing methods. The experiments showed that neural networks can be used as a consensus strategy to producing accurate models for protein secondary prediction. |
| first_indexed | 2024-12-12T05:59:42Z |
| format | Article |
| id | doaj.art-5c0a3e39fea74a1785c624af242df10b |
| institution | Directory Open Access Journal |
| issn | 1657-4583 2145-8456 |
| language | English |
| last_indexed | 2024-12-12T05:59:42Z |
| publishDate | 2013-03-01 |
| publisher | Universidad Industrial de Santander |
| record_format | Article |
| series | Revista UIS Ingenierías |
| spelling | doaj.art-5c0a3e39fea74a1785c624af242df10b2022-12-22T00:35:28ZengUniversidad Industrial de SantanderRevista UIS Ingenierías1657-45832145-84562013-03-01121NN-PRED: A novel consensus secondary structure prediction program using neural networksOscar Fernando Bedoya LeivaEduard Alberto Satizábal TascónIn this paper, a new program for protein secondary structure prediction is proposed. The program, which is called NN-Pred, allows multiple sequences to be submitted and it returns predictions from fve secondary structure prediction algorithms. In addition, NN-Pred calculates a consensus prediction, which is based on a neural network strategy that is used in this paper to improve the prediction accuracy. NN-Pred was obtained by using a methodology called consensus strategy, which tries to make a better prediction by integrating some of the most remarkable existing techniques. The NN-Pred program provides a three-state (alpha-helix, beta-sheet, and other) prediction of secondary structure. According to the test sets, the prediction accuracy of NN-Pred is at least 70%, surpassing most of the existing methods. The experiments showed that neural networks can be used as a consensus strategy to producing accurate models for protein secondary prediction.https://revistas.uis.edu.co/index.php/revistauisingenierias/article/view/3711predicción de la estructura secundariaestrategia consensoredes neuronales |
| spellingShingle | Oscar Fernando Bedoya Leiva Eduard Alberto Satizábal Tascón NN-PRED: A novel consensus secondary structure prediction program using neural networks Revista UIS Ingenierías predicción de la estructura secundaria estrategia consenso redes neuronales |
| title | NN-PRED: A novel consensus secondary structure prediction program using neural networks |
| title_full | NN-PRED: A novel consensus secondary structure prediction program using neural networks |
| title_fullStr | NN-PRED: A novel consensus secondary structure prediction program using neural networks |
| title_full_unstemmed | NN-PRED: A novel consensus secondary structure prediction program using neural networks |
| title_short | NN-PRED: A novel consensus secondary structure prediction program using neural networks |
| title_sort | nn pred a novel consensus secondary structure prediction program using neural networks |
| topic | predicción de la estructura secundaria estrategia consenso redes neuronales |
| url | https://revistas.uis.edu.co/index.php/revistauisingenierias/article/view/3711 |
| work_keys_str_mv | AT oscarfernandobedoyaleiva nnpredanovelconsensussecondarystructurepredictionprogramusingneuralnetworks AT eduardalbertosatizabaltascon nnpredanovelconsensussecondarystructurepredictionprogramusingneuralnetworks |