“…RNA structure is a key determinant of its diverse biological functions. − Therefore, creating RNA molecules with specific structures and functions is of great value to research, where computational methods for modeling RNA secondary structures come in handy. Thus far, this approach has been utilized for synthetic biology and biotechnology applications to design RNA-based devices, including riboregulators, ,,− aptamers, − and CRISPR guides. − Current advanced approaches for in-silico RNA design rely on free energy minimization algorithms, which estimate the thermodynamic stability of different structures. − To enhance the prediction accuracy, some methods also incorporate experimental mapping data or structural conservation information from a set of homologous sequences. − Several prominent software tools have been developed for in-silico RNA design based on these approaches, including but not limited to NUPACK, RNAstructure, ViennaRNA, UNAfold, and the deep-learning framework. These tools offer a variety of features, such as analysis, prediction, comparison, and synthesis of nucleic acid structures and interactions, each with its own advantages and drawbacks.…”