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Generative adversarial networks for construction of virtual populations of mechanistic models: simulations to study Omecamtiv Mecarbil action. / Parikh, Jaimit; Rumbell, Timothy; Butova, Xenia и др.
в: Journal of Pharmacokinetics and Pharmacodynamics, Том 49, № 1, 02.2022, стр. 51-64.

Результаты исследований: Вклад в журнал › Статья › Рецензирование

Harvard

Parikh, J, Rumbell, T, Butova, X, Myachina, T, Acero, JC, Khamzin, S, Solovyova, O, Kozloski, J, Khokhlova, A & Gurev, V 2022, 'Generative adversarial networks for construction of virtual populations of mechanistic models: simulations to study Omecamtiv Mecarbil action', Journal of Pharmacokinetics and Pharmacodynamics, Том. 49, № 1, стр. 51-64. https://doi.org/10.1007/s10928-021-09787-4

APA

Parikh, J., Rumbell, T., Butova, X., Myachina, T., Acero, J. C., Khamzin, S., Solovyova, O., Kozloski, J., Khokhlova, A., & Gurev, V. (2022). Generative adversarial networks for construction of virtual populations of mechanistic models: simulations to study Omecamtiv Mecarbil action. Journal of Pharmacokinetics and Pharmacodynamics, 49(1), 51-64. https://doi.org/10.1007/s10928-021-09787-4

Vancouver

Parikh J, Rumbell T, Butova X, Myachina T, Acero JC, Khamzin S и др. Generative adversarial networks for construction of virtual populations of mechanistic models: simulations to study Omecamtiv Mecarbil action. Journal of Pharmacokinetics and Pharmacodynamics. 2022 февр.;49(1):51-64. doi: 10.1007/s10928-021-09787-4

Author

Parikh, Jaimit ; Rumbell, Timothy ; Butova, Xenia и др. / Generative adversarial networks for construction of virtual populations of mechanistic models: simulations to study Omecamtiv Mecarbil action. в: Journal of Pharmacokinetics and Pharmacodynamics. 2022 ; Том 49, № 1. стр. 51-64.

BibTeX

@article{b738f8229dce4440b0dca603849652ca,
title = "Generative adversarial networks for construction of virtual populations of mechanistic models: simulations to study Omecamtiv Mecarbil action",
keywords = "Omecamtiv Mecarbil, Populations of models, Generative adversarial networks, Parameter inference, Biophysical models, CARDIAC MYOSIN ACTIVATOR, INCREASE CONTRACTILITY, CALCIUM SENSITIVITY, HEART-FAILURE, VARIABILITY, STATE, CARDIOMYOCYTES",
author = "Jaimit Parikh and Timothy Rumbell and Xenia Butova and Tatiana Myachina and Acero, {Jorge Corral} and Svyatoslav Khamzin and Olga Solovyova and James Kozloski and Anastasia Khokhlova and Viatcheslav Gurev",
year = "2022",
month = feb,
doi = "10.1007/s10928-021-09787-4",
language = "English",
volume = "49",
pages = "51--64",
journal = "Journal of Pharmacokinetics and Pharmacodynamics",
issn = "1567-567X",
publisher = "Springer New York",
number = "1",

}

RIS

TY - JOUR

T1 - Generative adversarial networks for construction of virtual populations of mechanistic models: simulations to study Omecamtiv Mecarbil action

AU - Parikh, Jaimit

AU - Rumbell, Timothy

AU - Butova, Xenia

AU - Myachina, Tatiana

AU - Acero, Jorge Corral

AU - Khamzin, Svyatoslav

AU - Solovyova, Olga

AU - Kozloski, James

AU - Khokhlova, Anastasia

AU - Gurev, Viatcheslav

PY - 2022/2

Y1 - 2022/2

KW - Omecamtiv Mecarbil

KW - Populations of models

KW - Generative adversarial networks

KW - Parameter inference

KW - Biophysical models

KW - CARDIAC MYOSIN ACTIVATOR

KW - INCREASE CONTRACTILITY

KW - CALCIUM SENSITIVITY

KW - HEART-FAILURE

KW - VARIABILITY

KW - STATE

KW - CARDIOMYOCYTES

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000712722900001

UR - https://www.elibrary.ru/item.asp?id=47520416

UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85118314674

U2 - 10.1007/s10928-021-09787-4

DO - 10.1007/s10928-021-09787-4

M3 - Article

VL - 49

SP - 51

EP - 64

JO - Journal of Pharmacokinetics and Pharmacodynamics

JF - Journal of Pharmacokinetics and Pharmacodynamics

SN - 1567-567X

IS - 1

ER -

ID: 29615496