eprintid: 2948 rev_number: 10 eprint_status: archive userid: 17 dir: disk0/00/00/29/48 datestamp: 2018-04-18 08:49:12 lastmod: 2018-04-18 08:49:12 status_changed: 2018-04-18 08:49:12 type: conference_item metadata_visibility: show creators_name: Do, Duc Dong creators_name: Thai Dinh, Phuc creators_name: Vu, Thi Ngoc Anh creators_name: Nguyen, Linh Trung creators_id: dongdd@vnu.edu.vn creators_id: phuctd.95@gmail.com creators_id: anhvn2802@gmail.com creators_id: linhtrung@vnu.edu.vn title: An Efficient Ant Colony Optimization Algorithm for Protein Structure Prediction ispublished: pub subjects: ECE subjects: IT divisions: avitech divisions: fac_fet divisions: fac_fit abstract: Protein structure prediction is considered as one of the most long-standing and challenging problem in bioinformatics. In this paper, we present an efficient ant colony optimization algorithm to predict the protein structure on three-dimensional face-centered cubic lattice coordinates, using the hydrophobic–polar model and the Miyazawa-Jernigan model to calculate the free energy. The reinforcement learning information is expressed in the k-order Markov model, and the heuristic information is determined based on the increase of the total energy. On a set of benchmark proteins, the results show a remarkable efficiency of our algorithm in comparison with several state-of-the-art algorithms. date: 2018-03-26 date_type: published official_url: http://www.ismict2018.org contact_email: dongdd@vnu.edu.vn full_text_status: public pres_type: paper pagerange: 28-33 event_title: 12th International Symposium on Medical Information and Communication Technology (ISMICT) event_location: Sydney, Australia event_dates: March 26-28 event_type: conference refereed: TRUE citation: Do, Duc Dong and Thai Dinh, Phuc and Vu, Thi Ngoc Anh and Nguyen, Linh Trung (2018) An Efficient Ant Colony Optimization Algorithm for Protein Structure Prediction. In: 12th International Symposium on Medical Information and Communication Technology (ISMICT), March 26-28, Sydney, Australia. document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2948/1/p28-do_duc.pdf