IN-MACA-MCC : Integrated Multiple Attractor Cellular Automata with Modified Clonal Classifier for Human Protein Coding and Promoter Prediction
Joint Authors
Nedunuri, S. S. S. N. Usha Devi
Pokkuluri, Kiran Sree
Inampudi, Ramesh Babu
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-15
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Biology
Abstract EN
Protein coding and promoter region predictions are very important challenges of bioinformatics (Attwood and Teresa, 2000).
The identification of these regions plays a crucial role in understanding the genes.
Many novel computational and mathematical methods are introduced as well as existing methods that are getting refined for predicting both of the regions separately; still there is a scope for improvement.
We propose a classifier that is built with MACA (multiple attractor cellular automata) and MCC (modified clonal classifier) to predict both regions with a single classifier.
The proposed classifier is trained and tested with Fickett and Tung (1992) datasets for protein coding region prediction for DNA sequences of lengths 54, 108, and 162.
This classifier is trained and tested with MMCRI datasets for protein coding region prediction for DNA sequences of lengths 252 and 354.
The proposed classifier is trained and tested with promoter sequences from DBTSS (Yamashita et al., 2006) dataset and nonpromoters from EID (Saxonov et al., 2000) and UTRdb (Pesole et al., 2002) datasets.
The proposed model can predict both regions with an average accuracy of 90.5% for promoter and 89.6% for protein coding region predictions.
The specificity and sensitivity values of promoter and protein coding region predictions are 0.89 and 0.92, respectively.
American Psychological Association (APA)
Pokkuluri, Kiran Sree& Inampudi, Ramesh Babu& Nedunuri, S. S. S. N. Usha Devi. 2014. IN-MACA-MCC : Integrated Multiple Attractor Cellular Automata with Modified Clonal Classifier for Human Protein Coding and Promoter Prediction. Advances in Bioinformatics،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-458349
Modern Language Association (MLA)
Pokkuluri, Kiran Sree…[et al.]. IN-MACA-MCC : Integrated Multiple Attractor Cellular Automata with Modified Clonal Classifier for Human Protein Coding and Promoter Prediction. Advances in Bioinformatics No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-458349
American Medical Association (AMA)
Pokkuluri, Kiran Sree& Inampudi, Ramesh Babu& Nedunuri, S. S. S. N. Usha Devi. IN-MACA-MCC : Integrated Multiple Attractor Cellular Automata with Modified Clonal Classifier for Human Protein Coding and Promoter Prediction. Advances in Bioinformatics. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-458349
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-458349