Interpretation of the question
From the responses of the poster to questions in comments and the revision of the question my understanding of the comparison it makes is as follows.
The the structure of DNA with its two complementary strands gives it
the logical potential for self-replication (by each separated strand
being able to serve as a template for a complement). This is formally
similar to the von Neumann’s idea of a self-replicating automaton.
The main question would seem to be “whether the ideas of von Neumann (or similar ideas that preceded it) had any influence on the discovery of the potential of DNA for self-replication.”
Answer
No.
Biology, both cellular and molecular, is an experimental subject. Biologists of the traditional kind had long known from direct observation that simple cells could replicate, but their ideas on how this occurred were vague and made no contribution to the deciphering of the replication mechanism.
DNA was investigated by other scientists who had concluded that the evidence indicated that it was the genetic material (an idea that was still contested in the 1940s), and felt that it was important to determine its structure. Neither Watson nor Crick anticipated how the mechanism of self-replication would fall out so beautifully from the structure. There was no theory driving their work, just a desire to see things at the molecular level.
Conclusion
Automaton theory was never relevant to biology, so the question “is it still relevant” falls by the wayside. Computation has a role to play in biology, but more in analysis and technology. The ideas that are the context for the design of experiments emerge mainly from jigsaw puzzling together of previous experimental observations, rather from theoretical concepts divorced from practice.
Bibliography
I recently wrote an account of the history of the discovery of the structure of DNA in answer to a question on SE History of Science and Mathematics. Although the main focus of that question is not relevant, it includes an extensive bibliography.