@article {9626, title = {Hidden long evolutionary memory in a model biochemical network.}, journal = {Phys Rev E}, volume = {97}, year = {2018}, month = {2018 Apr}, pages = {040401}, abstract = {

We introduce a minimal model for the evolution of functional protein-interaction networks using a sequence-based mutational algorithm, and apply the model to study neutral drift in networks that yield oscillatory dynamics. Starting with a functional core module, random evolutionary drift increases network complexity even in the absence of specific selective pressures. Surprisingly, we uncover a hidden order in sequence space that gives rise to long-term evolutionary memory, implying strong constraints on network evolution due to the topology of accessible sequence space.

}, keywords = {Evolution, Molecular, Models, Biological, Mutation, Protein Interaction Maps}, issn = {2470-0053}, doi = {10.1103/PhysRevE.97.040401}, author = {Ali, Md Zulfikar and Wingreen, Ned S and Mukhopadhyay, Ranjan} }