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

• Autorzy: Błażewicz J. , Dziurdza B. , Markiewicz W. T.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

artificial evolution; amino acids; genetic hyperspace; DNA sequences; algorithm

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Foundations of Computing and Decision Sciences
• Rocznik: 2003
• Tom: Vol. 28, No. 4
• Strony: 195--209
• Opis fizyczny: Bibliogr. 7 poz.

Twórcy

autor

Błażewicz J.

autor

Dziurdza B.

autor

Markiewicz W. T.

• Institute of Computing Science, Poznań University of Technology, Piotrowo 3a, PL-60965, Poznań, Poland,