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introduction.tex
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The use of inhibitors induces non-monotonic behaviors that are difficult to analyze.
Entities can also be provided by an external context sequence to simulate \textit{in silico} biological experiment, expanded by structural operational semantics (SOS) rules to account for several biological experiments. In addition Positive RS, trace slicing, graph generation, bisimulation and more is available through an intuitive visual language with a graphical interface.
Despite the rich theoretical development of Reaction Systems, practival tools for working with RS models have lagged behind. Numerous versions of Prolog and Python programs have been developed, but have problems regarding performance and usability. Future developments may be hindered by this lack of software by this technological barrier.
Despite the rich theoretical development of Reaction Systems, practical tools for working with RS models have lagged behind. Numerous versions of Prolog and Python programs have been developed\cite{BioResolve2025}, but have problems regarding performance and usability. Future developments may be hindered by this lack of software by this technological barrier.
This thesis aims to bridge the gab between the theoretical foundations of Reaction Systems and their practical application. To achieve this a new software platform for modeling, analyzing and designing Reaction Systems is proposed.
\begin{section}{Software Design and Key Features}
The core contribution here presented is a new software tool built from the ground up to support Reaction Systems modeling and analysis. Equal emphasis has been placed on performance and user experience. The software is implemented in Rust\cite{rust_2025}, a modern systems programming language chosen for its efficency and reliability.
The core contribution here presented is a new software tool built from the ground up to support Reaction Systems modeling and analysis. Equal emphasis has been placed on performance and user experience. The software is implemented in Rust\cite{rust_2025}, a modern systems programming language chosen for its efficiency and reliability.
Rust’s strong performance characteristics (memory safety, speed, and concurrency support) help ensure that even larger Reaction System models can be analyzed quickly, while its emphasis on code safety and clarity makes the tool more maintainable in the long term.
The platform provides two user interfaces to accommodate different user needs. A command-line interface (CLI) is available for quick integration in already existing pipelines. The CLI allows specification of Reaction Systems and instructions over them and is easily expandable to meed the need of the programmer.