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A NanoFE simulation-based surrogate machine learning model to predict mechanical functionality of protein networks from live confocal imaging
Sub-cellular mechanics plays a crucial role in a variety of biological functions and dysfunctions. Due to the strong structure-function relationship in cytoskeletal protein networks, light can be shed on their mechanical functionality by investigating their structures. Here, we present a data-driven...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Research Network of Computational and Structural Biotechnology
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7559262/ https://www.ncbi.nlm.nih.gov/pubmed/33101614 http://dx.doi.org/10.1016/j.csbj.2020.09.024 |