Rick Stevens of Argonne National Laboratory suggests some other problems, whose solutions are currently limited by computing capacity, that could be tackled using DNA computing: detailed modelling of the global climate, embryonic development, elementary-particle interactions, and engineering problems such as simultaneously optimising a jet's structural mechanics, acoustics, manufacturability, and cost. Perhaps of more practicality to the average computer user, a computer scientist has suggested that DNA could be used in a computer memory containing a database with a capacity of a hundred thousand trillion words. Remarkably, a DNA database could possibly contain more information than is held in the human brain.

Accessing this theoretical DNA database would occur in a fashion similar to that used with today's random access memory (RAM). A single strand of encoded DNA would represent words in the database. Once a certain word was created, its representative DNA molecule could be easily duplicated, or "written," for use in other parts of the database. "Deleting" a word would simply involve removing the representative molecule from the database. Although the current technology necessary to read, write, and delete information from these databases would be relatively slow, once a DNA database had been created, it could easily be copied in its entirety using DNA replication. Although doubtful, it will remain to be seen whether there is any justification in treating databases and "software" stored in DNA media any differently than that stored in conventional computer media. This ease of copying of valuable intangible information is common to both the current and this future technology, and intellectual property laws will be called upon to extend protection to innovations in DNA computing. He realizes that the massive parallelism of DNA strands may render tractable some computational problems that were beyond the reach of the diligent clerk; not because the DNA strands are smarter than the clerk but simply because they can make many tries at once.

For the biologist, the unexpected results in DNA computing indicate that models of DNA computers could be significant also for the study of important biological problems such as evolution. Moreover, the techniques of DNA manipulation developed originally for computational purposes could find relevant applications also in genetic engineering. Already, medical research has advanced by leaps and bounds via DNA research. Laboratories are now able to produce insulin, a medicine necessary for those who suffer from diabetes, without the previously mandated human donor. Bacteria are placed in a receptacle in which it is replicated billions of times via DNA manipulation. Then a chemical is introduced and this manufactures billions of insulin elixirs.

A future prognosis for DNA computer usage is using it to detect mutation in certain genes that foster a disposition toward cancer, taking on the role of screening people who are at risk. The greatest benefits are how microscopically tiny it would be and that it will be phenomenally faster because information has less distance to travel in a DNA molecule than it does in a computer chip.