Cargando…
Automated exploration of DNA-based structure self-assembly networks
Finding DNA sequences capable of folding into specific nanostructures is a hard problem, as it involves very large search spaces and complex nonlinear dynamics. Typical methods to solve it aim to reduce the search space by minimizing unwanted interactions through restrictions on the design (e.g. sta...
Autores principales: | Cazenille, L., Baccouche, A., Aubert-Kato, N. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8493194/ https://www.ncbi.nlm.nih.gov/pubmed/34754499 http://dx.doi.org/10.1098/rsos.210848 |
Ejemplares similares
-
Network Models to Enhance Automated Cryptocurrency Portfolio Management
por: Giudici, Paolo, et al.
Publicado: (2020) -
Automated detection of dolphin whistles with convolutional networks and transfer learning
por: Nur Korkmaz, Burla, et al.
Publicado: (2023) -
COVID-FACT: A Fully-Automated Capsule Network-Based Framework for Identification of COVID-19 Cases from Chest CT Scans
por: Heidarian, Shahin, et al.
Publicado: (2021) -
Convolutional Neural Network–Based Automated Quality Assessment of OCT and OCT Angiography Image Maps in Individuals With Neurodegenerative Disease
por: Lee, Terry, et al.
Publicado: (2023) -
Network-based protein structural classification
por: Newaz, Khalique, et al.
Publicado: (2020)