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Virginia Tech

Modeling Evolutionary Constraints and Improving Multiple Sequence Alignments using Residue Couplings

Abstract

dc:description.abstract

Residue coupling in protein families has received much attention as an important indicator toward predicting protein structures and revealing functional insight into proteins. Existing coupling methods identify largely pairwise couplings and express couplings over amino acid combinations, which do not yield a mechanistic explanation. Most of these methods primarily use a multiple protein sequence alignment---most likely a resultant alignment---which better exposes couplings and is obtained through manual tweaking of an alignment constructed by a classical alignment algorithm. Classical alignment algorithms primarily focus on capturing conservations and may not fully unveil couplings in the alignment. In this dissertation, we propose methods for capturing both pairwise and higher-order couplings in protein families. Our methods provide mechanistic explanations for couplings using physicochemical properties of amino acids and discernibility between orders. We also investigate a method for mining frequent episodes---called coupled patterns---in an alignment produced by a classical algorithm for proteins and for exploiting the coupled patterns for improving the alignment quality in terms of exposition of couplings. We demonstrate the effectiveness of our proposed methods on a large collection of sequence datasets for protein families.

Degree

thesis:*
Name thesis:degree_name
Ph. D.
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Computer Science and Applications
Department dc:contributor.department
Computer Science
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Hossain, K.S.M. Tozammel
Chair dc:contributor.committeechair
  • Ramakrishnan, Naren
Committee members dc:contributor.committeemember
  • Bailey-Kellogg, Chris
  • Prakash, B. Aditya
  • Onufriev, Alexey V.
  • Baker, Nathan A.

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:8998
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/83218

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Hossain, K.S.M. Tozammel. Modeling Evolutionary Constraints and Improving Multiple Sequence Alignments using Residue Couplings. doctoral thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/83218