Protein Contact Map Prediction Based on an Ensemble Learning Method

Protein Contact Map Prediction Based on an Ensemble Learning Method

Contact map is the simplified, 2D representation of protein spatial structure. Contact map prediction is an intermediate step to predict protein 3D structure. Ensemble learning-based model is a collection of learners that is more accurate than a single learner. In this paper we propose an ensemble l...

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Bibliographische Detailangaben
Hauptverfasser: Habibi, N.K., Saraee, M.H.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Bioinformatic
Bioinformatics
contact map prediction
Contacts
Data engineering
Database systems
ensemble learning
Genetic mutations
Learning systems
Machine learning
neural network
Neural networks
Protein engineering
Protein sequence
protein tructure prediction
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Beschreibung
Zusammenfassung:Contact map is the simplified, 2D representation of protein spatial structure. Contact map prediction is an intermediate step to predict protein 3D structure. Ensemble learning-based model is a collection of learners that is more accurate than a single learner. In this paper we propose an ensemble learning method for contact map prediction. Results show that a considerable performance improvement is attainable using this approach instead of using a single model.
DOI:10.1109/ICCET.2009.58