An evolving neural network for the interpretation of gene expression patterns.

It is of central interest in biology to understand how gene activity networks are coordinated and integrated in the cell. Within the field of genomics, microarray technologies have become a powerful technique for monitoring simultaneously the expression patterns of thousands of genes under different sets of conditions. A main task now is to propose analytical methods that can suggest which groups of genes are activated by similar conditions.

The application of abstract topology to RAS-related signal transduction pathways.

Ras is a protein related to cancer development. It is a convergence point for different signal transduction pathways that allow the cell to respond to external stimuli with different cell functions like growth, division, death, etc. In this paper, we analyze the signal pathways generated by different Ras effectors (Raf, RalGDS and PI3K), and the pathway relating Ras to the cell cycle control.

Cellulat: an agent-based intracellular signalling model.

The theory of behaviour-based systems (or autonomous agents) constitutes a useful approach for the modelling of intracellular signalling networks. In this sense, a cell can be seen as an adaptive autonomous agent or as a society of such agents, where each can exhibit a particular behaviour depending on its cognitive capabilities. We present an intracellular signalling model obtained by integrating several computational techniques into an agent-based paradigm.

Specialized biology from tandem beta-turns.

Diverse forms of pathologies can be derived from the lack of flexibility in tissues and the absence of required concentrations of certain types of proteins (e.g., amelogenesis imperfecta).