(Georgia Institute of Technology, 1995)
Milik, Mariusz; Skolnick, Jeffrey
A system is presented for generating peptide sequences with desirable properties,
using combination of neural network and artificial evolution. The
process is illustrated by an example of a practical problem of generating
artificial transbilayer peptides. The peptides generated in the process of
artificial evolution have the physico-chemical properties of transmembrane
peptides, and forms stable transmembrane structures in testing Monte Carlo
simulations. The artificial evolution system is designed to emulate natural
evolution; therefore it is of both practical and theoretical interest, both in
terms of rational design of protein sequences and modeling of natural evolution
of proteins.