?url_ver=Z39.88-2004&rft_id=TR2017-FIT-002&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=https%3A%2F%2Feprints.uet.vnu.edu.vn%2Feprints%2Fid%2Feprint%2F2894%2F&rft.title=A+Novel+and+Efficient+Ant+Colony+Optimization+Algorithm+for+Protein+3D+Structure+Prediction&rft.creator=Do%2C+Duc+Dong&rft.subject=Information+Technology+(IT)&rft.description=Protein+structure+prediction+(PSP)+is+considered+as+one+of+the+most+long-standing+and+challenging+problem+in+bioinformatic.+In+this+paper%2C+we+present+an+efficient+ant%0D%0Acolony+optimization+algorithm+to+predict+the+protein+structure+on+three-dimensional+face-centered+cubic+lattice+coordinates%2C+using+hydrophobic-polar+(HP)+model+and+MiyazawaJernigan+(MJ)+model+to+calculate+the+free+energy.+The+reinforcement+learning+information+is+expressed+in+the+k-order+Markov+model%2C+the+heuristic+information+is+determined+based+on+the+increase+of+the%0D%0Atotal+energy.+On+a+set+of+benchmark+proteins%2C+the+results+show+a+remarkable+efficiency+of+our+algorithm+by+comparing+with+the+state-of-the-art+algorithms.&rft.publisher=VNU-UET+Technical+Report&rft.date=2017&rft.type=Technical+Report&rft.type=NonPeerReviewed&rft.format=application%2Fpdf&rft.language=en&rft.identifier=https%3A%2F%2Feprints.uet.vnu.edu.vn%2Feprints%2Fid%2Feprint%2F2894%2F1%2FTR2017-FIT-002.pdf&rft.identifier=++Do%2C+Duc+Dong++(2017)+A+Novel+and+Efficient+Ant+Colony+Optimization+Algorithm+for+Protein+3D+Structure+Prediction.++Technical+Report.+VNU-UET+Technical+Report.+++++&rft.relation=TR2017-FIT-002