title: Modeling Intercellular Communication as a Survival Strategy of Cancer Cells: An In Silico Approach on a Flexible Bioinformatics Framework.
abstract: Intercellular communication is very important for cell development and allows a group of cells to survive as a population. Cancer cells have a similar behavior, presenting the same mechanisms and characteristics of tissue formation. In this article, we model and simulate the formation of different communication channels that allow an interaction between two cells. This is a first step in order to simulate in the future processes that occur in healthy tissue when normal cells surround a cancer cell and to interrupt the communication, thus preventing the spread of malignancy into these cells. The purpose of this study is to propose key molecules, which can be targeted to allow us to break the communication between cancer cells and surrounding normal cells. The simulation is carried out using a flexible bioinformatics platform that we developed, which is itself based on the metaphor chemistry-based model.
authors.affiliation: Facultad de Medicina, Benemérita Universidad Autónoma de Puebla, Puebla, México.
authors.forename: Maura
authors.initials: M
authors.lastname: Cárdenas-García
authors.affiliation: Departamento de Matemáticas Aplicadas y Sistemas, Universidad Autónoma Metropolitana, Ciudad de México, México.
authors.forename: Pedro P
authors.initials: PP
authors.lastname: González-Pérez
authors.affiliation: Dipartimento di Informatica - Scienza e Ingegneria, Università degli Studi di Bologna, Bologna, Italia.
authors.forename: Sara
authors.initials: S
authors.lastname: Montagna
authors.affiliation: Departamento de Matemáticas Aplicadas y Sistemas, Universidad Autónoma Metropolitana, Ciudad de México, México.
authors.forename: Oscar Sánchez
authors.initials: OS
authors.lastname: Cortés
authors.affiliation: Facultad de Medicina, Benemérita Universidad Autónoma de Puebla, Puebla, México.
authors.forename: Elena Hernández
authors.initials: EH
authors.lastname: Caballero
keywords: bioinformatics framework; cancer cells; in silico experiments; intracellular communication