Biological implementation of algorithms and unconventional computing

J. N.Argota Quiróz, R. Basurto Flores, T. G.Bermúdez Cisneros, I. Y.Fernández Rosales, A. G. Naranjo, J. C.Gómez Sánchez, M. E.González Jiménez, R. E.Gordillo Padilla, A. J.Leal Baena, P. A.Leon Hernández, P. G. Padilla, R. Peña Miller, I. N.Ríos Gaspar, J. C.Rodríguez Chico, A. Rodríguez Martínez, J. P. Romero, A. Sánchez Arzate, J. S.Aranda Barradas, D. Araujo Díaz, A. Becerra BrachoC. Benítez, C. I.Franco Arteag, F. Hernández Quiroz, G. Juárez Martínez, J. López Rabadán, M. C.Oliver Salvador, P. Padilla Longoria, R. Palma Orozco, F. Ramírez Corona, E. Salgado Majarrez, E. Samra Hassan, C. Silva Sánchez, U. Vélez Saldaña, P. B.Zarate Segura

Research output: Contribution to journalArticlepeer-review

Abstract

The Mexican iGEM team (http://parts2.mit.edu/wiki/index.php/IPN_UNAM_2006) is a recently established group whose main interest is the implementation of algorithms in biological systems. Our goal is to take advantage of the intrinsic features of these systems in order to explore new approaches to certain computations (unconventional computing). We focus on three different frameworks: cellular automata, reaction-diffusion based computations and approaches from game theory. In the near future we plan to develop real-world applications that not only contribute to the understanding of specific problems in biology, computer science and related disciplines, but that also have a positive social impact. We are optimistic about the great benefits that genetically engineered machines might offer, particularly in a country like Mexico. On the other hand we are also conscious of the risks they involve and would like to stimulate a serious discussion about ethical and legal implications as well as the impact they might have on the community.

Original languageEnglish
Pages (from-to)59-60
Number of pages2
JournalIET Synthetic Biology
Volume1
Issue number1-2
DOIs
StatePublished - 2007
Externally publishedYes

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