1999
Complexity in DNA genetic code
M. Martín-Landrove, L. Trujillo, J.A. González
American Physical Society Centennial Meeting, March 1999, Atlanta, Georgia, USA
In the present work, we propose a new method to characterize the complexity of the genetic code in DNA strands by using a specific measure of the entropy. The target DNA sequences were the same as those reported by Peng et al. in 1992, analyzing not only the original sequence but also its coding segments and proteins. Also intron-containing sequences were modified to simulate intron-less sequences for comparison. The results reveal that there is not a significant difference for the entropy measure between intron-containing and intron-less sequences, which seems to be in correspondence with other results. In the case of proteins, they exhibit a well defined behavior as a function of the length of the peptide chain. Further work is pursued to analyze a larger database even for nucleotide and aminoacid sequences.
A new nonlinear DNA model
Trujillo L., Martín-Landrove M., González J.A.
American Physical Society Centennial Meeting, March 1999, Atlanta, Georgia, USA
The torsional dynamics of DNA can be described by nonlinear models, predicting solitonic open sates related to replication and transcription processes. In particular, the Yakushevich model yields solitonic solutions with appropriate topological properties to describe those processes. In the present work, we developed a model that combines the dynamical aspects of both Yakushevich and Yomosa models, treating the stacking interaction between adjacent bases in a nonlinear way. By doing so, both transversal and longitudinal interactions are treated on the same foot. Stable solitonic solutions, energies and its dynamics were obtained.
