The interaction between biological molecules, cells or individuals often leads to emergent properties that cannot be predicted from the characteristics of a single unit. Systems Biology attempts to quantify the richness of such interactions in living systems. Evolutionary systems biology takes the research one step further by examining the consequences of changing the interaction through evolution by natural selection. By combining mathematical model, population genetics and experimentation, Evolutionary System Biology attempts to determine the causal relationships generating the interactions. We are interested in taking this research one step further by examining the consequences of changing the interactions through evolution by natural selection. We combine a variety of approaches including mathematical modeling, population genetics, molecular genetics, microscopy, and experimental evolution.This goes beyond comparative analyses and aims to provide mechanistic models reliable enough to predict evolution. Weather forecasts are very difficult, yet computer models have helped tremendously.
Journals related to Evolutionary Systems biology
International Journal of Swarm Intelligence and Evolutionary Computation, Journal of Proteomics & Bioinformatics, Journal of Phylogenetics & Evolutionary Biology, Genome evolution and evolutionary systems biology, BioSystems, Journal of Computer Science & Systems Biology, Trends in Ecology and Evolution, International Journal of Systematic and Evolutionary Microbiology, Evolution; international journal of organic Evolution, Journal of Human Evolution.