Efforts in programming DNA and other biological molecules have recently focused on general schemes to physically implement arbitrary Chemical Reaction Networks. Errors in some of the proposed schemes have driven a desire for formal verification methods. By interpreting each implementation species as a multiset of formal species, the concept of weak bisimulation can be adapted to CRNs in a way that agrees with an intuitive notion of a correct implementation. The theory of CRN bisimulation can be used to prove the correctness of a general implementation scheme or to detect subtle problems. Given a specific formal CRN and a specific implementation CRN, the complexity of finding a valid interpretation between the two CRNs if one exists, and tha...
Chemical reaction networks (CRNs) formally model chemistry in a well-mixed solution. CRNs are widely...
The mathematical formalism of mass-action chemical reaction networks (CRNs) has been proposed as a m...
The computational power of stochastic chemical reaction networks (CRNs) varies significantly with th...
Efforts in programming DNA and other biological molecules have recently focused on general schemes t...
Efforts in programming DNA and other biological molecules have recently focused on general schemes t...
The Chemical Reaction Network (CRN) model is a language designed to describe the behavior of chemica...
The emerging fields of genetic engineering, synthetic biology, DNA computing, DNA nanotechnology, an...
The Chemical Reaction Network model has been proposed as a programming language for molecular progra...
We present two quantitative behavioral equivalences over species of a chemical reaction network (CRN...
Formal methods have enabled breakthroughs in many fields, such as in hardware verification, machine ...
Chemical reaction networks (CRNs) formally model chemistry in a well-mixed solution. Assuming a fixe...
We present two quantitative behavioral equivalences over species of a chemical reaction network (CRN...
We present two quantitative behavioral equivalences over species of a chemical reaction network (CRN...
International audienceOne goal of synthetic biology is to implement useful functions with biochemica...
Coupled chemical interactions in a well-mixed solution are commonly formalized as chemical reaction ...
Chemical reaction networks (CRNs) formally model chemistry in a well-mixed solution. CRNs are widely...
The mathematical formalism of mass-action chemical reaction networks (CRNs) has been proposed as a m...
The computational power of stochastic chemical reaction networks (CRNs) varies significantly with th...
Efforts in programming DNA and other biological molecules have recently focused on general schemes t...
Efforts in programming DNA and other biological molecules have recently focused on general schemes t...
The Chemical Reaction Network (CRN) model is a language designed to describe the behavior of chemica...
The emerging fields of genetic engineering, synthetic biology, DNA computing, DNA nanotechnology, an...
The Chemical Reaction Network model has been proposed as a programming language for molecular progra...
We present two quantitative behavioral equivalences over species of a chemical reaction network (CRN...
Formal methods have enabled breakthroughs in many fields, such as in hardware verification, machine ...
Chemical reaction networks (CRNs) formally model chemistry in a well-mixed solution. Assuming a fixe...
We present two quantitative behavioral equivalences over species of a chemical reaction network (CRN...
We present two quantitative behavioral equivalences over species of a chemical reaction network (CRN...
International audienceOne goal of synthetic biology is to implement useful functions with biochemica...
Coupled chemical interactions in a well-mixed solution are commonly formalized as chemical reaction ...
Chemical reaction networks (CRNs) formally model chemistry in a well-mixed solution. CRNs are widely...
The mathematical formalism of mass-action chemical reaction networks (CRNs) has been proposed as a m...
The computational power of stochastic chemical reaction networks (CRNs) varies significantly with th...