Predicting Amino acid interaction network using artificial Bee colony

This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2015.

מידע ביבליוגרפי
Main Authors: Enan, Mirja Shahriar, Abdullah Al Noman
מחברים אחרים: Showkat, Dilruba
פורמט: Thesis
שפה:English
יצא לאור: BRAC University 2015
נושאים:
גישה מקוונת:http://hdl.handle.net/10361/4377
id 10361-4377
record_format dspace
spelling 10361-43772022-01-26T10:21:50Z Predicting Amino acid interaction network using artificial Bee colony Enan, Mirja Shahriar Abdullah Al Noman Showkat, Dilruba Department of Computer Science and Engineering, BRAC University Computer science and engineering Amina acid Bee colony This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2015. Cataloged from PDF version of thesis report. Includes bibliographical references (page 51-52). Proteins are biological macromolecules participating in the large majority of processes which govern organisms. Amino Acids are the building block of protein and its primary structure is a linear chain of amino acids, which lacks functionality. Amino acids interact with each other to produce a three-dimensional structure, known as protein folding. In our proposed approach, we are considering protein as a graph of amino acid interaction network whose vertices are the amino acids and edges are the interaction between them. We proposed a single objective evolutionary algorithm and a recently introduced swarm-based optimization algorithm, named Artificial Bee Colony algorithm to predict the interaction between amino acids and thus solving the protein structure prediction (PSP) problem. Mirja Shahriar Enan Abdullah Al Noman B. Computer Science and Engineering 2015-09-03T09:39:11Z 2015-09-03T09:39:11Z 2015 2015 Thesis ID 11101037 ID 11101046 http://hdl.handle.net/10361/4377 en BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 52 pages application/pdf BRAC University
institution Brac University
collection Institutional Repository
language English
topic Computer science and engineering
Amina acid
Bee colony
spellingShingle Computer science and engineering
Amina acid
Bee colony
Enan, Mirja Shahriar
Abdullah Al Noman
Predicting Amino acid interaction network using artificial Bee colony
description This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2015.
author2 Showkat, Dilruba
author_facet Showkat, Dilruba
Enan, Mirja Shahriar
Abdullah Al Noman
format Thesis
author Enan, Mirja Shahriar
Abdullah Al Noman
author_sort Enan, Mirja Shahriar
title Predicting Amino acid interaction network using artificial Bee colony
title_short Predicting Amino acid interaction network using artificial Bee colony
title_full Predicting Amino acid interaction network using artificial Bee colony
title_fullStr Predicting Amino acid interaction network using artificial Bee colony
title_full_unstemmed Predicting Amino acid interaction network using artificial Bee colony
title_sort predicting amino acid interaction network using artificial bee colony
publisher BRAC University
publishDate 2015
url http://hdl.handle.net/10361/4377
work_keys_str_mv AT enanmirjashahriar predictingaminoacidinteractionnetworkusingartificialbeecolony
AT abdullahalnoman predictingaminoacidinteractionnetworkusingartificialbeecolony
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