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A framework for modeling of juxtacrine signaling systems
Rozante, L. C. S; Gubitoso, M. D; Matioli, S. R.
  • Rozante, L. C. S; Universidade Imes. Departamento de Ciência da Computação. São Caetano do Sul. BR
  • Gubitoso, M. D; Universidade de São Paulo. Instituto de Matemática e Estatística. Departamento de Ciência da Computação. São Paulo. BR
  • Matioli, S. R; Universidade de São Paulo. Instituto de Biociências. São Paulo. BR
Genet. mol. res. (Online) ; 6(4): 821-845, 2007. ilus
Article in English | LILACS | ID: lil-520063
ABSTRACT
Juxtacrine signaling is intercellular communication, in which the receptor of the signal (typically a protein) as well as the ligand (also typically a protein, responsible for the activation of the receptor) are anchored in the plasma membranes, so that in this type of signaling the activation of the receptor depends on direct contact between the membranes of the cells involved. Juxtacrine signaling is present in many important cellular events of several organisms, especially in the development process. We propose a generic formal model (a modeling framework) for juxtacrine signaling systems that is a class of discrete dynamic systems. It possesses desirable characteristics in a good modeling framework, such as a) structural similarity with biological models, b) capacity of operating in different scales of time, and c) capacity of explicitly treating both the events and molecular elements that occur in the membrane, and those that occur in the intracellular environment and that are involved in the juxtacrine signaling process. We have implemented this framework and used it to develop a new three-level discrete model for the neurogenic network and its participation in neuroblast segregation. This paper presents the details of this framework and its current status.
Subject(s)
Full text: Available Index: LILACS (Americas) Main subject: Software / RNA, Messenger / Signal Transduction / Drosophila Proteins / Models, Biological Type of study: Prognostic study Limits: Animals Language: English Journal: Genet. mol. res. (Online) Journal subject: Molecular Biology / Genetics Year: 2007 Type: Article / Congress and conference Affiliation country: Brazil Institution/Affiliation country: Universidade Imes/BR / Universidade de São Paulo/BR

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Full text: Available Index: LILACS (Americas) Main subject: Software / RNA, Messenger / Signal Transduction / Drosophila Proteins / Models, Biological Type of study: Prognostic study Limits: Animals Language: English Journal: Genet. mol. res. (Online) Journal subject: Molecular Biology / Genetics Year: 2007 Type: Article / Congress and conference Affiliation country: Brazil Institution/Affiliation country: Universidade Imes/BR / Universidade de São Paulo/BR