ArticleIEEE transactions on visualization and computer graphics2021
Modeling in the Time of COVID-19: Statistical and Rule-based Mesoscale Models.
Article in IEEE transactions on visualization and computer graphics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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Who cites it
10 citing papers in PubMed, 31 citations in OpenAlex.
- Mesoscale explorer: Visual exploration of large-scale molecular models.Protein science : a publication of the Protein Society · 2024Article
- Mesoscale Explorer - Visual Exploration of Large-Scale Molecular Models.bioRxiv : the preprint server for biology · 2024Article
- SpyDirect: A Novel Biofunctionalization Method for High Stability and Longevity of Electronic Biosensors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Reconstruction of the real 3D shape of the SARS-CoV-2 virus.Biophysical journal · 2024Article
- Physical virology: how physics is enabling a better understanding of recent viral invaders.Biophysical reviews · 2023Review
- A multi-modal bone suppression, lung segmentation, and classification approach for accurate COVID-19 detection using chest radiographs.Intelligent systems with applications · 2022Article
- Visualising Viruses.The Journal of general virology · 2022Review
- CellPAINT: Turnkey Illustration of Molecular Cell Biology.Frontiers in bioinformatics · 2021Article
- Power law behaviour in the saturation regime of fatality curves of the COVID-19 pandemic.Scientific reports · 2021Article
- Life cycle of SARS-CoV-2: from sketch to visualization in atomistic resolution.Computer graphics forum : journal of the European Association for Computer Graphics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 4 institutions in 3 countries.
Funding
Abstract
We present a new technique for the rapid modeling and construction of scientifically accurate mesoscale biological models. The resulting 3D models are based on a few 2D microscopy scans and the latest knowledge available about the biological entity, represented as a set of geometric relationships. Our new visual-programming technique is based on statistical and rule-based modeling approaches that are rapid to author, fast to construct, and easy to revise. From a few 2D microscopy scans, we determine the statistical properties of various structural aspects, such as the outer membrane shape, the spatial properties, and the distribution characteristics of the macromolecular elements on the membrane. This information is utilized in the construction of the 3D model. Once all the imaging evidence is incorporated into the model, additional information can be incorporated by interactively defining the rules that spatially characterize the rest of the biological entity, such as mutual interactions among macromolecules, and their distances and orientations relative to other structures. These rules are defined through an intuitive 3D interactive visualization as a visual-programming feedback loop. We demonstrate the applicability of our approach on a use case of the modeling procedure of the SARS-CoV-2 virion ultrastructure. This atomistic model, which we present here, can steer biological research to new promising directions in our efforts to fight the spread of the virus.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.