دانلود رایگان مقاله انگلیسی تکنیک های تجزیه و تحلیل سیستم های تولید در سیستم های تولید ژنتیکی - نشریه الزویر

Abstract

Breakthroughs in molecular and synthetic biology are pivotal to understanding the function of cells and creating new pharmaceutical applications. These advances in biological processing present a new class of manufacturing systems, defined here as genetic manufacturing systems, which produce a final product with a genetic construct. Genetic manufacturing systems rely on molecular events for success, and this aspect is a key difference from traditional manufacturing systems. Analysis techniques for manufacturing systems have been successful in providing valuable insights for complex manufacturing environments and have the potential to transform how genetic constructs are currently produced. This paper provides an introduction to the interdisciplinary field of genetic manufacturing systems and outlines the similarities and primary differences between traditional manufacturing systems and genetic manufacturing systems. Mathematical modeling and simulation opportunities are presented as they relate to reducing cost and time as well as increasing efficiency in genetic manufacturing systems. Finally, several challenges for genetic manufacturing systems are presented.

4. Conclusions

The processes used in gene synthesis to generate novel genetic constructs require costly and time consuming iterative processes. Ultimately, the goal is to produce a sequence which is a 100% match to the desired reference sequence. Once this perfect sequence has been created, identical clones can be made in high volumes with great precision using established techniques. This major difference from traditional manufacturing processing provides a unique opportunity to investigate genetic manufacturing systems in order to increase their efficiency as well as reduce production cost and time.

Systems producing genetic constructs require a steep learning curve to grasp the processing considerations for production. The interdisciplinary field of genetic manufacturing systems can benefit from modeling and simulation techniques used in other manufacturing environments taking into considerations the differences between the two areas. The research questions posed in this paper are just the beginning of the possibilities available for analyzing GMS with TMS analysis tools. Combining the complexity and random nature of biological organisms with the structured examination brought from traditional manufacturing analysis yields an opportunity to provide logical processing rationale for a number of challenges facing gene synthesis and the broader field of synthetic biology.