Fixed-parameter algorithms for protein similarity search under mRNA structure constraints

Guillaume Blin, Guillaume Fertin, Danny Hermelin, Stéphane Vialette

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

In the context of protein engineering, we consider the problem of computing an mRNA sequence of maximal codon-wise similarity to a given mRNA (and consequently, to a given protein) that additionally satisfies some secondary structure constraints, the so-called MRSO problem [2], Since the MRSO problem is known to be APX-hard [8], Bongartz proposed in [8] to attack the problem using the concept of parameterized complexity. In this paper we follow this suggested approach by devising fixed-parameter algorithms for several interesting parameters of MRSO. We believe these algorithms to be relevant for practical applications today, as well as for several future applications. Furthermore, our results extend the known tractability borderline of MRSO, and provide new research horizons for further improvements of this sort.

Original languageEnglish
Title of host publicationGraph-Theoretic Concepts in Computer Science - 31st International Workshop, WG 2005, Revised Selected Papers
PublisherSpringer Verlag
Pages271-282
Number of pages12
ISBN (Print)3540310002, 9783540310006
DOIs
StatePublished - 1 Jan 2005
Externally publishedYes
Event31st International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2005 - Metz, France
Duration: 23 Jun 200525 Jun 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3787 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference31st International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2005
Country/TerritoryFrance
CityMetz
Period23/06/0525/06/05

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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