Leveraging quantum computing for dynamic analyses of logical networks in systems biology.

ABSTRACT: The dynamics of cellular mechanisms can be investigated through the analysis of networks. One of the simplest but most popular modeling strategies involves logic-based models. However, these models still face exponential growth in simulation complexity compared with a linear increase in nodes. We transfer this modeling approach to quantum computing and use the upcoming technique in the field to simulate the resulting networks. Leveraging logic modeling in quantum computing has many benefits, including complexity reduction and quantum algorithms for systems biology tasks. To showcase the applicability of our approach to systems biology tasks, we implemented a model of mammalian cortical development. Here, we applied a quantum algorithm to estimate the tendency of the model to reach particul

SUBMITTER: Weidner FM 

PROVIDER: S-EPMC10028428 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature