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A parameterized algorithm for protein structure alignment.
Xu, Jinbo; Jiao, Feng; Berger, Bonnie.
Afiliación
  • Xu J; Toyota Technological Institute at Chicago, Chicago, Illinois 60637, USA. j3xu@tti-c.org
J Comput Biol ; 14(5): 564-77, 2007 Jun.
Article en En | MEDLINE | ID: mdl-17683261
ABSTRACT
This paper proposes a parameterized polynomial time approximation scheme (PTAS) for aligning two protein structures, in the case where one protein structure is represented by a contact map graph and the other by a contact map graph or a distance matrix. If the sequential order of alignment is not required, the time complexity is polynomial in the protein size and exponential with respect to two parameters D(u)/D(l) and D(c)/D(l), which usually can be treated as constants. In particular, D(u) is the distance threshold determining if two residues are in contact or not, D(c) is the maximally allowed distance between two matched residues after two proteins are superimposed, and D(l) is the minimum inter-residue distance in a typical protein. This result clearly demonstrates that the computational hardness of the contact map based protein structure alignment problem is related not to protein size but to several parameters modeling the problem. The result is achieved by decomposing the protein structure using tree decomposition and discretizing the rigid-body transformation space. Preliminary experimental results indicate that on a Linux PC, it takes from ten minutes to one hour to align two proteins with approximately 100 residues.
Asunto(s)
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Banco de datos: MEDLINE Asunto principal: Algoritmos / Alineación de Secuencia / Biología Computacional / Homología Estructural de Proteína Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: J Comput Biol Asunto de la revista: BIOLOGIA MOLECULAR / INFORMATICA MEDICA Año: 2007 Tipo del documento: Article País de afiliación: Estados Unidos
Buscar en Google
Banco de datos: MEDLINE Asunto principal: Algoritmos / Alineación de Secuencia / Biología Computacional / Homología Estructural de Proteína Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: J Comput Biol Asunto de la revista: BIOLOGIA MOLECULAR / INFORMATICA MEDICA Año: 2007 Tipo del documento: Article País de afiliación: Estados Unidos