2015/05/10 by Ricardo Henrique Gracini Guiraldelli, Guiraldelli, Ricardo Henrique Gracini, Vincenzo Manca +1
Biochemistry, Genetics and Molecular Biology · Computer Science · #Algorithms and Data Compression #DNA and Biological Computing #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Microbial Metabolic Engineering and Bioproduction #cs.ET
paper · pdf · doi:10.48550/arxiv.1505.02420
arxiv created 2015/05/10 · openalex publication_date 2015/05/10 · arxiv updated 2015/07/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
System and synthetic biology are rapidly evolving systems, but both lack tools such as those used in engineering environments to shift the their focus from the design of parts (details) to the design of systems (behaviors); to aggravate, there are insufficient theoretical justifications on the computational limits of biological systems. To diminish these deficiencies, we present theoretical results over the Turing-equivalence of metabolic systems, defines rules for translations of algorithms into metabolic P systems and presents a software tool to assist the task in an automatic way.