On the generation of information as motive power for molecular evolution

Molecular evolution can be described as a learning process during which previously inanimate matter developed the ability to organize all the reaction pathways that establish a living system. Common to all natural self-organizing procedures is the ability of matter to store, process and evaluate the information achieved by learning. Genetic information which is stored in RNA or DNA is the object of natural evolution. With the recognition of nature's concepts, evolutionary optimization was applied to biopolymers that are not optimally adapted for particular technical or medical purposes. Information can also be stored in molecules with structures and chemical properties that are completely different from nucleic acids. Therefore, optimization processes that mimic the natural evolutionary strategies can also be applied to small organic molecules. Much effort has been made theoretically and practically to find a certain optimized species within the (hyper)astronomical number of possible sequence alternatives. From a series of computer experiments it can be concluded that it is not necessary to search the entire sequence space in order to find a particular structure; this is advantageous because the diversity of mutant libraries that can realistically be achieved in the laboratory never extends to the number of theoretically possible sequences. Molecular mutant libraries that serve as starting populations for in vitro selection have been constructed for nucleic acids, proteins, peptides and small organic molecules.