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1 2003

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Artificial evolution. An algorithm for an exploration of the amino acid sequences space

Błażewicz J., Dziurdza B., Markiewicz W. T.

Foundations of Computing and Decision Sciences

2003

Vol. 28, No. 4

195-209

Artifical evolution methods are useful tools in designing of drugs and proteins with the desired properties. One of the applications is searching for new proteins which have the required features. Due to some disadvantages of known artificial evolution methods, such as phage display or SELEX, the new approach to artificial evolution experiment is being studied. The mathematical model for this approach is introduced and the interesting classes of efficient randomization patterns are defined The corresponding algorithm to find them is also presented. The model allows to plan an artificial evolution experiment and makes this new approach efficient. The introduced model has led to the new optimization problem: Efficient Randomization one, for which an exact algorithm is described.