Title :
Protein Contact Map Prediction Based on an Ensemble Learning Method
Author :
Habibi, Narjes Khatoon ; Saraee, Mohammad Hossein
Author_Institution :
Dept. of Electr. & Comput. Eng. Isfahan, Univ. of Technol. Isfahan, Isfahan
Abstract :
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.
Keywords :
biology computing; learning (artificial intelligence); proteins; 2D representation; ensemble learning; performance improvement; protein 3D structure; protein contact map prediction; protein spatial structure; Bioinformatics; Contacts; Data engineering; Database systems; Genetic mutations; Learning systems; Machine learning; Neural networks; Protein engineering; Protein sequence; Bioinformatic; contact map prediction; ensemble learning; neural network; protein tructure prediction;
Conference_Titel :
Computer Engineering and Technology, 2009. ICCET '09. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-3334-6
DOI :
10.1109/ICCET.2009.58
