scholarly journals Optimization of an In Silico Cardiac Cell Model for Proarrhythmia Risk Assessment

2016 ◽  
Author(s):  
Sara Dutta ◽  
David Strauss ◽  
Thomas Colatsky ◽  
Zhihua Li
Keyword(s):  
Risk Assessment ◽  
In Silico ◽  
Cell Model ◽  
Cardiac Cell

scholarly journals Optimization of an In silico Cardiac Cell Model for Proarrhythmia Risk Assessment

2017 ◽  
Vol 8 ◽  
Author(s):  
Sara Dutta ◽  
Kelly C. Chang ◽  
Kylie A. Beattie ◽  
Jiansong Sheng ◽  
Phu N. Tran ◽  
...  
Keyword(s):  
Risk Assessment ◽  
In Silico ◽  
Cell Model ◽  
Cardiac Cell

scholarly journals Corrigendum: Optimization of an In silico Cardiac Cell Model for Proarrhythmia Risk Assessment

2017 ◽  
Vol 8 ◽  
Author(s):  
Sara Dutta ◽  
Kelly C. Chang ◽  
Kylie A. Beattie ◽  
Jiansong Sheng ◽  
Phu N. Tran ◽  
...  
Keyword(s):  
Risk Assessment ◽  
In Silico ◽  
Cell Model ◽  
Cardiac Cell

Bifurcation Analysis of a Modified Cardiac Cell Model

2022 ◽  
Vol 21 (1) ◽  
pp. 231-247
Author(s):  
André H. Erhardt ◽  
Susanne Solem
Keyword(s):  
Bifurcation Analysis ◽  
Cell Model ◽  
Cardiac Cell

In silico modeling for the risk assessment of toxicity in cells

2019 ◽  
Vol 77 (6) ◽  
pp. 1541-1548 ◽  
Author(s):  
Qasim Ali Chaudhry ◽  
Amna Abbas ◽  
Ayesha Noor ◽  
Muqaddas Asif
Keyword(s):  
Risk Assessment ◽  
In Silico ◽  
In Silico Modeling ◽  
In Cells

Second generation periodic table-based descriptors to encode toxicity of metal oxide nanoparticles to multiple species: QSTR modeling for exploration of toxicity mechanisms

2018 ◽  
Vol 5 (11) ◽  
pp. 2742-2760 ◽  
Author(s):  
Priyanka De ◽  
Supratik Kar ◽  
Kunal Roy ◽  
Jerzy Leszczynski
Keyword(s):  
Risk Assessment ◽  
Metal Oxide ◽  
In Silico ◽  
Periodic Table ◽  
Metal Oxide Nanoparticles ◽  
Oxide Nanoparticles ◽  
Gap Filling ◽  
Toxicity Mechanisms ◽  
Data Gap ◽  
Multiple Species

The application of in silico methods in the risk assessment of metal oxide nanoparticles (MNPs) and data gap filling has found profound usability.

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