Multitarget network strategies to influence memory and forgetting: the Ras/MAPK pathway as a novel option

The Ras/mitogen activated protein kinase (MAPK) pathway has key importance in development, cell differentiation and senescence, tumorigenesis, learning and memory. The clinical manifestations associated with this highly conserved pathway are called RASopathies. Phenotypic features are diverse and overlapping, but cognitive impairment is a common symptom. Here, we propose an approach based on molecular networks that link learning, memory and forgetting to the RASopathies and various neurodegenerative and neurodevelopmental diseases such as Alzheimer's disease, Parkinson's disease and autism spectrum disorders. We demonstrate the cross-talks of the molecular pathways in RASopathies and memory and the role of compartmentalization in these processes. The approved drugs are also overviewed, and C. elegans is proposed as a viable model system for experimental exploration and compound target prediction.n

System level mechanisms of adaptation, learning, memory formation and evolvability: the role of chaperone and other networks

During the last decade, network approaches became a powerful tool to describe protein structure and dynamics. Here, we describe first the protein structure networks of molecular chaperones, then characterize chaperone containing sub-networks of interactomes called as chaperone-networks or chaperomes. We review the role of molecular chaperones in short-term adaptation of cellular networks in response to stress, and in long-term adaptation discussing their putative functions in the regulation of evolvability. We provide a general overview of possible network mechanisms of adaptation, learning and memory formation. We propose that changes of network rigidity play a key role in learning and memory formation processes. Flexible network topology provides ‘learning- competent’ state. Here, networks may have much less modular boundaries than locally rigid, highly modular networks, where the learnt information has already been consolidated in a memory formation process. Since modular boundaries are efficient filters of information, in the ‘learning-competent’ state information filtering may be much smaller, than after memory formation. This mechanism restricts high information transfer to the ‘learning competent’ state. After memory formation, modular boundary-induced segregation and information filtering protect the stored information. The flexible networks of young organisms are generally in a ‘learning competent’ state. On the contrary, locally rigid networks of old organisms have lost their ‘learning competent’ state, but store and protect their learnt information efficiently. We anticipate that the above mechanism may operate at the level of both protein-protein interaction and neuronal networks