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University of Windsor

Multiple Alignment of Structures using Center of Proteins

Abstract

dc:description.abstract

There is a buzz among structural biologists about conducting a major portion of their future work in silico, due to progressively refined computational tools and an amazing quantity of digitized biological data. This masters thesis focusses on the area of computational methods for aligning multiple protein structures. As the problem under consideration is known to be np–complete, several ways for coming up with good approximations have been suggested over the years. A new approach for achieving better, or at least as good results as before, is presented here. We discuss the proposed algorithm and its constituent methods. Finally, we report the widely used root mean square deviation (RMSD) as measures of structural similarity, and the execution time. Some chosen results, from our extensive experimentation, and their significance have been discussed. A web server has also been implemented for trying out a pairwise alignment algorithm. This is hosted on the university website and the link has been provided in the contributions

Degree

thesis:*
Name thesis:degree_name
M.Sc.
Level thesis:degree_level
Masters
Discipline thesis:degree_discipline
Computer Science
Grantor
University of Windsor
Year dc:date.issued
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Roy, Kaushik
Advisor dc:contributor.advisor
  • Mukhopadhyay, Asish

Rights

dc:rights
Language dc:language.iso
en_CA

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/20.500.14776/5158
OAI identifier oai:identifier
oai:uwindsor.scholaris.ca:20.500.14776/5158

Chain of custody

source
Harvested from
University of Windsor
Base URL
uwindsor.scholaris.ca/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
related terms
citation

Roy, Kaushik. Multiple Alignment of Structures using Center of Proteins. Masters thesis, University of Windsor, 2014. https://hdl.handle.net/20.500.14776/5158