Introduction to in silico model for proarrhythmic risk assessment under the CiPA initiative
In 2005, the International Council for Harmonization (ICH) established cardiotoxicity assessment guidelines to identify the risk of Torsade de Pointes (TdP). It is focused on the blockade of the human ether-à-go-go-related gene (hERG) channel known to cause QT/QTc prolongation and the QT/QTc prolong...
Saved in:
Published in | Translational and clinical pharmacology Vol. 27; no. 1; pp. 12 - 18 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Korea (South)
Korean Society for Clinical Pharmacology and Therapeutics
01.03.2019
대한임상약리학회 |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | In 2005, the International Council for Harmonization (ICH) established cardiotoxicity assessment guidelines to identify the risk of Torsade de Pointes (TdP). It is focused on the blockade of the human ether-à-go-go-related gene (hERG) channel known to cause QT/QTc prolongation and the QT/QTc prolongation shown on the electrocardiogram. However, these biomarkers are not the direct risks of TdP with low specificity as the action potential is influenced by multiple channels along with the hERG channel. Comprehensive in vitro Proarrhythmia Assay (CiPA) initiative emerged to address limitations of the current model. The objective of CiPA is to develop a standardized
model of a human ventricular cell to quantitively evaluate the cardiac response for the cardiac toxicity risk and to come up with a metric for the TdP risk assessment.
working group under CiPA developed a standardized and reliable
model and a metric that can quantitatively evaluate cellular cardiac electrophysiologic activity. The implementation mainly consists of hERG fitting, Hill fitting, and action potential simulation. In this review, we explained how the
model of CiPA works, and briefly summarized current overall CiPA studies. We hope this review helps clinical pharmacologists to understand the underlying estimation process of CiPA
modeling. |
---|---|
AbstractList | In 2005, the International Council for Harmonization (ICH) established cardiotoxicity assessment guidelines to identify the risk of Torsade de Pointes (TdP). It is focused on the blockade of the human ether-à-go-go-related gene (hERG) channel known to cause QT/QTc prolongation and the QT/QTc prolongation shown on the electrocardiogram. However, these biomarkers are not the direct risks of TdP with low specificity as the action potential is influenced by multiple channels along with the hERG channel. Comprehensive in vitro Proarrhythmia Assay (CiPA) initiative emerged to address limitations of the current model. The objective of CiPA is to develop a standardized
in silico
model of a human ventricular cell to quantitively evaluate the cardiac response for the cardiac toxicity risk and to come up with a metric for the TdP risk assessment.
In silico
working group under CiPA developed a standardized and reliable
in silico
model and a metric that can quantitatively evaluate cellular cardiac electrophysiologic activity. The implementation mainly consists of hERG fitting, Hill fitting, and action potential simulation. In this review, we explained how the
in silico
model of CiPA works, and briefly summarized current overall CiPA studies. We hope this review helps clinical pharmacologists to understand the underlying estimation process of CiPA
in silico
modeling. In 2005, the International Council for Harmonization (ICH) established cardiotoxicity assessment guidelines to identify the risk of Torsade de Pointes (TdP). It is focused on the blockade of thehuman ether-à-go-go-related gene (hERG) channel known to cause QT/QTc prolongation and theQT/QTc prolongation shown on the electrocardiogram. However, these biomarkers are not the direct risks of TdP with low specificity as the action potential is influenced by multiple channels alongwith the hERG channel. Comprehensive in vitro Proarrhythmia Assay (CiPA) initiative emergedto address limitations of the current model. The objective of CiPA is to develop a standardized insilico model of a human ventricular cell to quantitively evaluate the cardiac response for the cardiactoxicity risk and to come up with a metric for the TdP risk assessment. In silico working group under CiPA developed a standardized and reliable in silico model and a metric that can quantitativelyevaluate cellular cardiac electrophysiologic activity. The implementation mainly consists of hERGfitting, Hill fitting, and action potential simulation. In this review, we explained how the in silicomodel of CiPA works, and briefly summarized current overall CiPA studies. We hope this reviewhelps clinical pharmacologists to understand the underlying estimation process of CiPA in silicomodeling. KCI Citation Count: 0 In 2005, the International Council for Harmonization (ICH) established cardiotoxicity assessment guidelines to identify the risk of Torsade de Pointes (TdP). It is focused on the blockade of the human ether-à-go-go-related gene (hERG) channel known to cause QT/QTc prolongation and the QT/QTc prolongation shown on the electrocardiogram. However, these biomarkers are not the direct risks of TdP with low specificity as the action potential is influenced by multiple channels along with the hERG channel. Comprehensive in vitro Proarrhythmia Assay (CiPA) initiative emerged to address limitations of the current model. The objective of CiPA is to develop a standardized model of a human ventricular cell to quantitively evaluate the cardiac response for the cardiac toxicity risk and to come up with a metric for the TdP risk assessment. working group under CiPA developed a standardized and reliable model and a metric that can quantitatively evaluate cellular cardiac electrophysiologic activity. The implementation mainly consists of hERG fitting, Hill fitting, and action potential simulation. In this review, we explained how the model of CiPA works, and briefly summarized current overall CiPA studies. We hope this review helps clinical pharmacologists to understand the underlying estimation process of CiPA modeling. |
Author | Jeon, Ji-Young Park, Jin-Sol Kim, Min-Gul Yang, Ji-Ho |
AuthorAffiliation | 2 Department of Pharmacology, School of Medicine, Chonbuk National University, Jeonju 54907, Republic of Korea 1 Center for Clinical Pharmacology and Biomedical Research Institute, Chonbuk National University Hospital, Jeonju 54907, Republic of Korea |
AuthorAffiliation_xml | – name: 1 Center for Clinical Pharmacology and Biomedical Research Institute, Chonbuk National University Hospital, Jeonju 54907, Republic of Korea – name: 2 Department of Pharmacology, School of Medicine, Chonbuk National University, Jeonju 54907, Republic of Korea |
Author_xml | – sequence: 1 givenname: Jin-Sol surname: Park fullname: Park, Jin-Sol organization: Department of Pharmacology, School of Medicine, Chonbuk National University, Jeonju 54907, Republic of Korea – sequence: 2 givenname: Ji-Young surname: Jeon fullname: Jeon, Ji-Young organization: Center for Clinical Pharmacology and Biomedical Research Institute, Chonbuk National University Hospital, Jeonju 54907, Republic of Korea – sequence: 3 givenname: Ji-Ho surname: Yang fullname: Yang, Ji-Ho organization: Center for Clinical Pharmacology and Biomedical Research Institute, Chonbuk National University Hospital, Jeonju 54907, Republic of Korea – sequence: 4 givenname: Min-Gul surname: Kim fullname: Kim, Min-Gul organization: Department of Pharmacology, School of Medicine, Chonbuk National University, Jeonju 54907, Republic of Korea |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32055576$$D View this record in MEDLINE/PubMed https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002480883$$DAccess content in National Research Foundation of Korea (NRF) |
BookMark | eNpVkU1LAzEQhoMofv8AL5Krh62TpLvJXoRS_CgIiujJQ0iziY3tJiVJC_57Y6uipxlm5nlCeI_Qrg_eIHRGYEAob9ll1ssBBdIOKB-QMttBh5QJVtVDyndLT0VbgRD0AJ2m9A4AhA0ZaWAfHTAKdV3z5hC9TnyOoVvp7ILHOWDncXILpwPuQ2cW2IaIlzGoGGcfedY7jaNLc6xSMin1xme88p2JOM8MHrvHURG47FR2a3OC9qxaJHP6XY_Ry8318_iuun-4nYxH95VmUOdqahQdWmg6C4IAATBmqHVNp53gDAy3bc1a0mjbUi2mnNFOWWE7bZiBukDsGF1svT5aOddOBuU29S3IeZSjp-eJbICTphXl9mp7u1xNe1Mk5ftqIZfR9Sp-bMj_G-9mxbOWBW5p8yUgW4GOIaVo7C9LQG6CkSUY-RWMpFySMivM-d9Hf4mfGNgnGeSOUg |
CitedBy_id | crossref_primary_10_1016_j_taap_2022_115914 crossref_primary_10_1007_s00204_023_03557_6 crossref_primary_10_1016_j_taap_2022_115886 crossref_primary_10_3390_biomedicines11020406 crossref_primary_10_1016_j_cmpb_2022_106934 crossref_primary_10_3390_ijms24010635 crossref_primary_10_3390_hearts2030028 crossref_primary_10_1080_17425255_2024_2377593 crossref_primary_10_3389_fphys_2022_1004605 crossref_primary_10_3389_fphar_2023_1220796 crossref_primary_10_1016_j_cmpb_2023_107860 crossref_primary_10_1016_j_clinthera_2019_09_004 crossref_primary_10_1177_10915818241237988 crossref_primary_10_1371_journal_pcbi_1009646 crossref_primary_10_3390_ijms21197320 crossref_primary_10_1007_s11095_023_03644_4 |
Cites_doi | 10.3389/fphys.2017.00616 10.1161/CIRCEP.116.004628 10.1093/cvr/cvr044 10.1126/science.353.6303.976 10.1016/j.celrep.2018.08.079 10.1002/cpt.1184 10.3389/fphys.2017.00917 10.1371/journal.pcbi.1002061 10.1016/j.ahj.2013.11.004 10.1001/jama.1993.03500120070028 10.1177/1087057115594589 10.1002/cpt.896 10.1016/j.pbiomolbio.2015.01.008 10.2165/00002018-200528110-00003 10.1002/cpt.367 10.1016/j.vascn.2016.06.002 |
ContentType | Journal Article |
Copyright | Copyright © 2019 Min-Gul Kim. Copyright © 2019 Min-Gul Kim 2019 Translational and Clinical Pharmacology |
Copyright_xml | – notice: Copyright © 2019 Min-Gul Kim. – notice: Copyright © 2019 Min-Gul Kim 2019 Translational and Clinical Pharmacology |
DBID | NPM AAYXX CITATION 5PM ACYCR |
DOI | 10.12793/tcp.2019.27.1.12 |
DatabaseName | PubMed CrossRef PubMed Central (Full Participant titles) Korean Citation Index (Open Access) |
DatabaseTitle | PubMed CrossRef |
DatabaseTitleList | PubMed |
Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database |
DeliveryMethod | fulltext_linktorsrc |
EISSN | 2383-5427 |
EndPage | 18 |
ExternalDocumentID | oai_kci_go_kr_ARTI_6071698 10_12793_tcp_2019_27_1_12 32055576 |
Genre | Journal Article Review |
GroupedDBID | NPM 5-W 8JR 8XY AAYXX ABDBF ALMA_UNASSIGNED_HOLDINGS CITATION EF. M~E PGMZT RPM 5PM ACYCR |
ID | FETCH-LOGICAL-c305t-bea24f06df0810100ee4cc52bd8730e7f953916cf92c8b732daf8fdce3e05df03 |
IEDL.DBID | RPM |
ISSN | 2289-0882 |
IngestDate | Tue Nov 21 21:42:30 EST 2023 Tue Sep 17 21:26:18 EDT 2024 Fri Aug 23 02:28:55 EDT 2024 Tue Jul 04 17:35:50 EDT 2023 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | false |
IsScholarly | true |
Issue | 1 |
Keywords | Torsade de Pointes CiPA Cardiotoxicity |
Language | English |
License | Copyright © 2019 Min-Gul Kim. It is identical to the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/). |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c305t-bea24f06df0810100ee4cc52bd8730e7f953916cf92c8b732daf8fdce3e05df03 |
OpenAccessLink | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6989268/ |
PMID | 32055576 |
PageCount | 7 |
ParticipantIDs | nrf_kci_oai_kci_go_kr_ARTI_6071698 pubmedcentral_primary_oai_pubmedcentral_nih_gov_6989268 crossref_primary_10_12793_tcp_2019_27_1_12 pubmed_primary_32055576 |
PublicationCentury | 2000 |
PublicationDate | 2019-03-01 |
PublicationDateYYYYMMDD | 2019-03-01 |
PublicationDate_xml | – month: 03 year: 2019 text: 2019-03-01 day: 01 |
PublicationDecade | 2010 |
PublicationPlace | Korea (South) |
PublicationPlace_xml | – name: Korea (South) |
PublicationTitle | Translational and clinical pharmacology |
PublicationTitleAlternate | Transl Clin Pharmacol |
PublicationYear | 2019 |
Publisher | Korean Society for Clinical Pharmacology and Therapeutics 대한임상약리학회 |
Publisher_xml | – name: Korean Society for Clinical Pharmacology and Therapeutics – name: 대한임상약리학회 |
References | Mirams (10.12793/tcp.2019.27.1.12_ref12) 2011; 91 O'Hara (10.12793/tcp.2019.27.1.12_ref13) 2011; 7 Li (10.12793/tcp.2019.27.1.12_ref17) 2017; 10 Vicente (10.12793/tcp.2019.27.1.12_ref7) 2018; 103 Pathmanathan (10.12793/tcp.2019.27.1.12_ref16) 2015; 117 Li (10.12793/tcp.2019.27.1.12_ref20) 2019; 105 Vicente (10.12793/tcp.2019.27.1.12_ref22) 2018 Servick (10.12793/tcp.2019.27.1.12_ref8) 2016; 353 Woosley (10.12793/tcp.2019.27.1.12_ref1) 1993; 269 Lancaster (10.12793/tcp.2019.27.1.12_ref11) 2016; 100 10.12793/tcp.2019.27.1.12_ref14 Chang (10.12793/tcp.2019.27.1.12_ref15) 2017; 8 Fermini (10.12793/tcp.2019.27.1.12_ref9) 2016; 21 10.12793/tcp.2019.27.1.12_ref19 Shah (10.12793/tcp.2019.27.1.12_ref4) 2005; 28 Colatsky (10.12793/tcp.2019.27.1.12_ref6) 2016; 81 Sager (10.12793/tcp.2019.27.1.12_ref5) 2014; 167 10.12793/tcp.2019.27.1.12_ref10 Li (10.12793/tcp.2019.27.1.12_ref2) 2017; 42 10.12793/tcp.2019.27.1.12_ref23 Strauss (10.12793/tcp.2019.27.1.12_ref24) 2018 Dutta (10.12793/tcp.2019.27.1.12_ref18) 2017; 8 Blinova (10.12793/tcp.2019.27.1.12_ref21) 2018; 24 Food and Drug Administration (10.12793/tcp.2019.27.1.12_ref3) 2005; 70 |
References_xml | – volume: 8 start-page: 616 year: 2017 ident: 10.12793/tcp.2019.27.1.12_ref18 publication-title: Front Physiol doi: 10.3389/fphys.2017.00616 contributor: fullname: Dutta – volume: 42 start-page: 473 year: 2017 ident: 10.12793/tcp.2019.27.1.12_ref2 publication-title: P T contributor: fullname: Li – volume: 10 start-page: e004628 year: 2017 ident: 10.12793/tcp.2019.27.1.12_ref17 publication-title: Circ Arrhythm Electrophysiol doi: 10.1161/CIRCEP.116.004628 contributor: fullname: Li – volume: 91 start-page: 53 year: 2011 ident: 10.12793/tcp.2019.27.1.12_ref12 publication-title: Cardiovasc Res doi: 10.1093/cvr/cvr044 contributor: fullname: Mirams – ident: 10.12793/tcp.2019.27.1.12_ref19 – volume: 353 start-page: 976 year: 2016 ident: 10.12793/tcp.2019.27.1.12_ref8 publication-title: Science doi: 10.1126/science.353.6303.976 contributor: fullname: Servick – volume: 24 start-page: 3582 year: 2018 ident: 10.12793/tcp.2019.27.1.12_ref21 publication-title: Cell Rep doi: 10.1016/j.celrep.2018.08.079 contributor: fullname: Blinova – volume: 105 start-page: 466 year: 2019 ident: 10.12793/tcp.2019.27.1.12_ref20 publication-title: Clin Pharmacol Ther doi: 10.1002/cpt.1184 contributor: fullname: Li – start-page: 2168479018795117 year: 2018 ident: 10.12793/tcp.2019.27.1.12_ref24 publication-title: Ther Innov Regul Sci contributor: fullname: Strauss – volume: 8 start-page: 917 year: 2017 ident: 10.12793/tcp.2019.27.1.12_ref15 publication-title: Front Physiol doi: 10.3389/fphys.2017.00917 contributor: fullname: Chang – volume: 7 start-page: e1002061 year: 2011 ident: 10.12793/tcp.2019.27.1.12_ref13 publication-title: PLoS Comput Biol doi: 10.1371/journal.pcbi.1002061 contributor: fullname: O'Hara – year: 2018 ident: 10.12793/tcp.2019.27.1.12_ref22 publication-title: Clin Pharmacol Ther contributor: fullname: Vicente – volume: 167 start-page: 292 year: 2014 ident: 10.12793/tcp.2019.27.1.12_ref5 publication-title: Am Heart J doi: 10.1016/j.ahj.2013.11.004 contributor: fullname: Sager – volume: 269 start-page: 1532 year: 1993 ident: 10.12793/tcp.2019.27.1.12_ref1 publication-title: JAMA doi: 10.1001/jama.1993.03500120070028 contributor: fullname: Woosley – ident: 10.12793/tcp.2019.27.1.12_ref23 – volume: 21 start-page: 1 year: 2016 ident: 10.12793/tcp.2019.27.1.12_ref9 publication-title: J Biomol Screen doi: 10.1177/1087057115594589 contributor: fullname: Fermini – ident: 10.12793/tcp.2019.27.1.12_ref10 – volume: 70 start-page: 61133 year: 2005 ident: 10.12793/tcp.2019.27.1.12_ref3 publication-title: Fed Regist contributor: fullname: Food and Drug Administration – volume: 103 start-page: 54 year: 2018 ident: 10.12793/tcp.2019.27.1.12_ref7 publication-title: Clin Pharmacol Ther doi: 10.1002/cpt.896 contributor: fullname: Vicente – volume: 117 start-page: 4 year: 2015 ident: 10.12793/tcp.2019.27.1.12_ref16 publication-title: Prog Biophys Mol Biol doi: 10.1016/j.pbiomolbio.2015.01.008 contributor: fullname: Pathmanathan – volume: 28 start-page: 1009 year: 2005 ident: 10.12793/tcp.2019.27.1.12_ref4 publication-title: Drug Saf doi: 10.2165/00002018-200528110-00003 contributor: fullname: Shah – volume: 100 start-page: 371 year: 2016 ident: 10.12793/tcp.2019.27.1.12_ref11 publication-title: Clin Pharmacol Ther doi: 10.1002/cpt.367 contributor: fullname: Lancaster – volume: 81 start-page: 15 year: 2016 ident: 10.12793/tcp.2019.27.1.12_ref6 publication-title: J Pharmacol Toxicol Methods doi: 10.1016/j.vascn.2016.06.002 contributor: fullname: Colatsky – ident: 10.12793/tcp.2019.27.1.12_ref14 |
SSID | ssj0001343160 |
Score | 2.1807575 |
SecondaryResourceType | review_article |
Snippet | In 2005, the International Council for Harmonization (ICH) established cardiotoxicity assessment guidelines to identify the risk of Torsade de Pointes (TdP).... |
SourceID | nrf pubmedcentral crossref pubmed |
SourceType | Open Website Open Access Repository Aggregation Database Index Database |
StartPage | 12 |
SubjectTerms | Review 의약학 |
Title | Introduction to in silico model for proarrhythmic risk assessment under the CiPA initiative |
URI | https://www.ncbi.nlm.nih.gov/pubmed/32055576 https://pubmed.ncbi.nlm.nih.gov/PMC6989268 https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002480883 |
Volume | 27 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
ispartofPNX | Translational and Clinical Pharmacology, 2019, 27(1), , pp.12-18 |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Ba9swFH40LYxcSke3Ne0aRNlp4MSW5Tg-ptlCW0jJYYXADkKSpUYkcYrnHfrv956dhOS6k0G2HtbTM_qe_L1PAN-iUJOst8DcxOlAxDYJMq7DwMVKaKdVLjTVO0-fBw8v4mmezE8g2dXC1KR9o32vWK17hV_U3Mq3tenveGL92XRMhx7ywbDfghYG6EGKXm-sxFTdTXsrnBMdCCHk9m8mx1jsV4ZUKqOsx9NehG1t-BBzUr0i1ZGDpalVlO5gVTpmTB4sQZMLON9iRzZq3vEjnNjiEn4_Etc8b0RgWbVhvmB__AonmNWn3DBEpYzqpspy8V4t1t4wopMztZfkZFRHVjJEgmzsZyM04Ctf64F_gpfJz1_jh2B7YkJg8LutAm0VFy4c5C4k4a4wtFYYk3CdD9FRNnVZQoW2xmXcDHUa81y5ocNRxTZMsFP8GU6LTWGvgKlIKARzwjmDNlyuQoW5B89slnMEBaoD33fOkm-NMIakhIKcLNHJkpwseSojbOvAHbpTLo2XJGdN19eNXJYSQfujJIk7nNIOfGmcvLe3m5gOpEfu3z9Axo7vYMjUGtnbELn-75430KYRNHSzr3BalX_tLeKPSnfhbHT_437ShdbzbNqto-8fA5HeSw |
link.rule.ids | 230,315,730,783,787,888,27937,27938,53805,53807 |
linkProvider | National Library of Medicine |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV07b9swED4kKdBm6QN9uU-i6FRAMkVRljUGRgO7jYMMSRGgA0FSZE04lgNVGdpf3zvJMuxu7SSAEg8iP4q8o777CPAx4YZkvSXGJt5EMnVZVAjDI59qabzRpTSU7zw_H02v5Jfr7PoAsj4XpiXtWxPi6mYVV2HRcitvV3bY88SGF_MJHXooRuPhIdzD75VnO0F6u7WSUn437a4IQYQgdCI3_zMFjsZhY0mnMilikccJlh3D_VSQ7hXpjuwsTodV7XfWpX3O5M4idPoIvvWv33FPlvFdY2L7-y9lx39u32N4uHFL2Ul3-wkcuOopfJ8Rjb3s9GVZs2ahYj_DDY4d1h6gw9DhZZSSVdeLX81iFSwjpjrTW7VPRilqNUMnk03CxQkaCE1opcafwdXp58vJNNocxhBZnBKayDgtpOej0nPSBOPcOWltJkw5xknC5b7IKIfX-kLYsclTUWo_9thdqeMZVkqfw1G1rtxLYDqRGv1E6b1FG77UXGNYIwpXlAL9DT2ATz0K6rbT3FAUqxB6CtFThJ4SuUqwbAAfECe1tEGRUjZdf6zVslYYD8wUqedhbw7gRYfe1l6P-ADyPVy3D5Cx_TuIViu_vUHn1X_XfA8PppfzM3U2O__6Go6pNR2r7Q0cNfWde4tuTmPetYP6D5Kn_dQ |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3Pb9MwFH5iQ5p2gSF-FRhYiBNSfjlO0xynsmoFNvXApAkOlu3Y1OqaViE7wF_Pe0lbpTvuFMmxn2R_lv1e8r3vAXxKYk2y3gJjE6cDkdosKLiOA5cqoZ1WpdCU73x5Nby4Fl9vspteqa-WtG-0D6vbZVj5ecutXC9NtOWJRbPLMRU95MNRtC5ddACPMxJN7wXq7eeVlHK86QsL50QKQkdy80-T446MGkNalUkR8jxMsO0YjlJO2lekPdK7oA6q2vXupn3eZO8imjyFn9spdPyTRXjX6ND8u6fu-KA5nsCTjXvKzrouz-CRrZ7DrynR2ctOZ5Y1K-Yr9sff4h5ibSEdho4vo9Ssup7_beZLbxgx1pnaqX4ySlWrGTqbbOxnZ2jAN76VHH8B15PzH-OLYFOUITB4NDSBtooLFw9LF5M2WBxbK4zJuC5HeFjY3BUZ5fIaV3Az0nnKS-VGDpcstXGGg9KXcFitKvsamEqEQn9ROGfQhitVrDC84YUtSo5-hxrA5y0Sct1pb0iKWQhBiQhKQlDyXCbYNoCPiJVcGC9JMZuev1dyUUuMC6aSVPRwRQfwqkNwZ2-L-gDyPWx3HcjY_htErJXh3iD05sEjP8DR7MtEfp9efXsLxzSZjtz2Dg6b-s6eorfT6Pftvv4Pgr8AYw |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Introduction+to+in+silico+model+for+proarrhythmic+risk+assessment+under+the+CiPA+initiative&rft.jtitle=Translational+and+clinical+pharmacology&rft.au=Park%2C+Jin-Sol&rft.au=Jeon%2C+Ji-Young&rft.au=Yang%2C+Ji-Ho&rft.au=Kim%2C+Min-Gul&rft.date=2019-03-01&rft.pub=Korean+Society+for+Clinical+Pharmacology+and+Therapeutics&rft.issn=2289-0882&rft.eissn=2383-5427&rft.volume=27&rft.issue=1&rft.spage=12&rft.epage=18&rft_id=info:doi/10.12793%2Ftcp.2019.27.1.12&rft_id=info%3Apmid%2F32055576&rft.externalDBID=PMC6989268 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2289-0882&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2289-0882&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2289-0882&client=summon |