scholarly journals Faculty Opinions recommendation of Quantitative cross-species translators of cardiac myocyte electrophysiology: Model training, experimental validation, and applications.

2021 ◽  
Author(s):  
Livia Hool
Keyword(s):  
Experimental Validation ◽  
Cardiac Myocyte ◽  
Model Training

scholarly journals Quantitative cross-species translators of cardiac myocyte electrophysiology: Model training, experimental validation, and applications

2021 ◽  
Vol 7 (47) ◽  
Author(s):  
Stefano Morotti ◽  
Caroline Liu ◽  
Bence Hegyi ◽  
Haibo Ni ◽  
Alex Fogli Iseppe ◽  
...  
Keyword(s):  
Experimental Validation ◽  
Cardiac Myocyte ◽  
Model Training

scholarly journals Quantitative cross-species translators of cardiac myocyte electrophysiology: model training, experimental validation, and applications

2020 ◽  
Author(s):  
Stefano Morotti ◽  
Caroline Liu ◽  
Bence Hegyi ◽  
Haibo Ni ◽  
Alex Fogli Iseppe ◽  
...  
Keyword(s):  
Computational Models ◽  
Cardiac Myocyte ◽  
Ventricular Myocytes ◽  
Efficacy And Safety ◽  
Experimental Conditions ◽  
Electrophysiological Responses ◽  
Beating Rate ◽  
Model Training ◽  
Experimental Findings ◽  
Therapeutic Compounds

AbstractAnimal experimentation is key in the evaluation of cardiac efficacy and safety of novel therapeutic compounds. However, inter-species differences in the mechanisms regulating excitation-contraction coupling can limit the translation of experimental findings from animal models to human physiology, and undermine the assessment of drugs’ efficacy and safety. Here, we built a suite of translators for quantitatively mapping electrophysiological responses in ventricular myocytes across species. We trained these statistical operators using a broad dataset obtained by simulating populations of our biophysically detailed computational models of action potential and Ca2+ transient in mouse, rabbit, and human. We then tested our translators against experimental data describing the response to stimuli, such as ion channel block, change in beating rate, and β-adrenergic challenge. We demonstrate that this approach is well suited to predicting the effects of perturbations across different species or experimental conditions, and suggest its integration into mechanistic studies and drug development pipelines.

Experimental validation of the predicted TGR5 binding mode model

2015 ◽  
Vol 53 (01) ◽  
Author(s):  
L Spomer ◽  
CGW Gertzen ◽  
D Häussinger ◽  
H Gohlke ◽  
V Keitel
Keyword(s):  
Experimental Validation ◽  
Binding Mode

Experimental Validation of Factors Causing Flicker from Frequency Feedback Method with Step Injection of Reactive Power

2018 ◽  
Vol 138 (8) ◽  
pp. 651-658 ◽  
Author(s):  
Keisuke Shirasaki ◽  
Naotaka Okada ◽  
Kenichiro Sano ◽  
Hideki Iwatsuki
Keyword(s):  
Experimental Validation ◽  
Reactive Power ◽  
Feedback Method

Discrete Modeling and Experimental Validation of the Model of a Cantilever Flexible Beam

2015 ◽  
Vol 8 (2) ◽  
pp. 205
Author(s):  
Antonio Carlos de Assis Silva ◽  
João Bosco Gonçalves ◽  
Alvaro Manoel de Souza Soares
Keyword(s):  
Experimental Validation ◽  
Flexible Beam ◽  
Discrete Modeling

Experimental Validation of Conifer and Broad-Leaf Tree Classification Using High Resolution PolSAR Data above X-Band

2019 ◽  
Vol E102.B (7) ◽  
pp. 1345-1350 ◽  
Author(s):  
Yoshio YAMAGUCHI ◽  
Yuto MINETANI ◽  
Maito UMEMURA ◽  
Hiroyoshi YAMADA
Keyword(s):  
High Resolution ◽  
Experimental Validation ◽  
X Band ◽  
Broad Leaf

Experimental Validation of Digital Pre-distortion Technique for Dual-band Dual-signal Amplification by Single Feedback Architecture Employing Dual-band Mixer

2015 ◽  
Vol E98.C (3) ◽  
pp. 242-251 ◽  
Author(s):  
Ikuma ANDO ◽  
Gia KHANH TRAN ◽  
Kiyomichi ARAKI ◽  
Takayuki YAMADA ◽  
Takana KAHO ◽  
...  
Keyword(s):  
Signal Amplification ◽  
Experimental Validation ◽  
Dual Band ◽  
Dual Signal Amplification
Sign in / Sign up

Export Citation Format

Share Document