Synthetic biology offers a variety of techniques for changing living beings for the benefit of mankind. By changing the DNA sequence of a cell, it will produce novel proteins with unique functions. However, there are limitations to the proteins which can be produced. One commonly recognized problem is that changes to the amino acid sequence of the protein may cause it to fold abnormally, generating a non-functional protein. In addition, changes to DNA can cause the resulting RNA to misfold, preventing the protein from being translated. Professor Danny Bararsh of the Genome Diversity Center in Haifa has developed a possible solution to this problem. His laboratory has created a mathematical algorithm for predicting the structure of RNA. This discovery has made it possible for synthetic biologists to computationally predict deleterious mutations by performing an exhaustive search of all possible mutations without manually examining each potential fold. We hope to add this development to the Genome Compiler software, preventing scientists from designing novel proteins which cannot be translated in vitro due to its mRNA’s secondary structure. Furthermore, the algorithm might allow the scientist to make small changes to the coding DNA sequence, producing a viable mRNA and a functional protein. Currently, Dr. Bararsh’s work is limited to the secondary structure of RNA, but a method for predicting tertiary structure could be possible in the future.