This interesting and well-written paper contains valuable information which is presented clearly and concisely. Not only is it an excellent primer of current molecular genetic thought, it also demonstrates how artificial intelligence concepts can be applied to major problems of pattern recognition. Given that mutations represent failures in translation of “codes,” it is obvious why pattern recognition techniques are helpful in solving this class of problems. The authors do a good job of interrelating the static codes (DNA) with the dynamics and functional aspects of cellular activity in easily understandable terms. The latter, with its historical perspective, is most educational because it bridges the gap between biology and computer science, allowing “discovery” in terms of model building and generation of new theory. Neophyte and experienced workers in artificial intelligence will gain valuable concepts from reading this paper.