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10.1109/TVCG.2020.3030415 http://scihub22266oqcxt.onion/10.1109/TVCG.2020.3030415 33055034!8642830!33055034     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       IEEE+Trans+Vis+Comput+Graph 2021 ; 27 (2): 722-732 Nephropedia Template TP {{tp|p=33055034|t=2021. Modeling in the Time of COVID-19: Statistical and Rule-based Mesoscale Models |pdf=|usr=}}{{33055034}} gab.com Text Modeling in the Time of COVID-19: Statistical and Rule-based Mesoscale Models JO: IEEE Trans Vis Comput Graph http://www.kidney.de/pget.php?&tw=1&pmid=33055034 #FOAvip 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. Twit Text FOAVip Modeling in the Time of COVID-19: Statistical and Rule-based Mesoscale Models ????IEEE Trans Vis Comput Graph http://www.kidney.de/pget.php?&tw=1&pmid=33055034 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33055034 #FOAvip English Wikipedia <ref>{{Cite pmid|33055034}}</ref> Modeling in the Time of COVID-19: Statistical and Rule-based Mesoscale Models #MMPMID33055034 Nguyen N; Strnad O; Klein T; Luo D; Alharbi R; Wonka P; Maritan M; Mindek P; Autin L; Goodsell DS; Viola I IEEE Trans Vis Comput Graph 2021[Feb]; 27 (2): 722-732 PMID33055034show ga 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. |*Models, Molecular[MESH] |*Models, Statistical[MESH] |*SARS-CoV-2/chemistry/ultrastructure[MESH] |COVID-19/*virology[MESH] |Humans[MESH] |Viral Proteins/chemistry/ultrastructure[MESH]Modeling in the Time of COVID-19: Statistical and Rule-based Mesoscale(epmc).pdf DeepDyve Pubget Overpricing