Robustness in Regulatory Networks: A Multi-Disciplinary Approach

Robustness in regulatory networks: a multi-disciplinary approach.

We give in this paper indications about the dynamical impact (as phenotypic changes) coming from the main sources of perturbation in biological regulatory networks. First, we define the boundary of the interaction graph expressing the regulations between the main elements of the network (genes, proteins, metabolites, ...). Then, we search what changes in the state values on the boundary could c...

Delivering cancer services: a multi-disciplinary approach

The article by Lim [1] on the development of oncology services in Malaysia was both insightful and comprehensive. It is interesting to read that cancer services are growing from strength to strength, with a national cancer institute planned. The field of oncology has been transformed over the last few decades with a proliferation in technological advances and a revolution occurring in molecular...

Mental handicap: a multi-disciplinary approach

Robustness and evolvability in genetic regulatory networks.

Living organisms are robust to a great variety of genetic changes. Gene regulation networks and metabolic pathways self-organize and reaccommodate to make the organism perform with stability and reliability under many point mutations, gene duplications and gene deletions. At the same time, living organisms are evolvable, which means that these kind of genetic perturbations can eventually make t...

MicroRNAs Robustness in Genetic Regulatory Networks

The cell is an entity composed of several thousand types of interacting proteins. Our goal is to comprehend the cancer regulation mechanisms using the microRNAs. MicroRNAs are present in almost all genetic regulatory networks acting as inhibitors targeting mRNAs. In this paper, it is shown how the Artificial Intelligence description method functioning on the basis of Inductive Logic Programming...