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C++ script derived from the original O'Hara-Rudy dynamic model including a Markov model for hERG gating used to compute several proarrhythmogenic risk predictors, particularly Qnet

Authors: Bogdan, Amuzescu;

C++ script derived from the original O'Hara-Rudy dynamic model including a Markov model for hERG gating used to compute several proarrhythmogenic risk predictors, particularly Qnet

Abstract

// C++ script derived from the original O'Hara-Rudy dynamic model // including a Markov model for hERG gating similar with that described in // Li et al. 2017 https://doi.org/10.1161/CIRCEP.116.004628 // but with simplified pharmacodynamic component including only blocking/unblocking rates // used to compute several proarrhythmogenic risk predictors, particularly Qnet // as described in Dutta et al. 2017 https://doi.org/10.3389/fphys.2017.00616 // pharmacology data for a 12-compounds set (CiPA training set) // and a supplementary 16-compounds set (CiPA validation set) // and for chloroquine and hydroxychloroquine using experimental data from: // Thomet U, Amuzescu B, Knott T, Mann SA, Mubagwa K, Radu BM (2021) // Assessment of Proarrhythmogenic Risk for Chloroquine and Hydroxychloroquine Using the CiPA Concept // European Journal of Pharmacology (in review) // Copyright (c) 2011-2015 by Thomas O'Hara, Yoram Rudy, // Washington University in St. Louis. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // 1. Redistributions of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // 2. Redistributions in binary form must reproduce the above copyright // notice, this list of conditions and the following disclaimer in the // documentation and/or other materials provided with the distribution. // // 3. Neither the names of the copyright holders nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS // IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED // TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A // PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // HOLDERS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF // USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND // ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, // OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF // THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH // DAMAGE. // // C++ Implementation of the O'Hara-Rudy dynamic (ORd) model for the // undiseased human ventricular action potential and calcium transient // // The ORd model is described in the article "Simulation of the Undiseased // Human Cardiac Ventricular Action Potential: Model Formulation and // Experimental Validation" // by Thomas O'Hara, Laszlo Virag, Andras Varro, and Yoram Rudy // // The article and supplemental materails are freely available in the // Open Access jounal PLoS Computational Biology // Link to Article: // http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002061 // // Email: tom.ohara@gmail.com / rudy@wustl.edu // Web: http://rudylab.wustl.edu //

{"references": ["O'Hara, T., Vir\u00e1g, L., Varr\u00f3, A., Rudy, Y., 2011. Simulation of the undiseased human cardiac ventricular action potential: model formulation and experimental validation. PLoS Comput Biol 7, e1002061. https://doi.org/10.1371/journal.pcbi.1002061", "Li, Z., Dutta, S., Sheng, J., Tran, P.N., Wu, W., Chang, K., Mdluli, T., Strauss, D.G., Colatsky, T., 2017b. Improving the In Silico Assessment of Proarrhythmia Risk by Combining hERG (Human Ether-a-go-go-Related Gene) Channel-Drug Binding Kinetics and Multichannel Pharmacology. Circ Arrhythm Electrophysiol 10, e004628. https://doi.org/10.1161/CIRCEP.116.004628", "Dutta, S., Chang, K.C., Beattie, K.A., Sheng, J., Tran, P.N., Wu, W.W., Wu, M., Strauss, D.G., Colatsky, T., Li, Z., 2017. Optimization of an In silico Cardiac Cell Model for Proarrhythmia Risk Assessment. Front Physiol 8, 616. https://doi.org/10.3389/fphys.2017.00616", "Han, X., Samieegohar, M., Ridder, B.J., Wu, W.W., Randolph, A., Tran, P., Sheng, J., Stoelzle-Feix, S., Brinkwirth, N., Rotordam, M.G., Becker, N., Friis, S., Rapedius, M., Goetze, T.A., Strassmaier, T., Okeyo, G., Kramer, J., Kuryshev, Y., Wu, C., Strauss, D.G., Li, Z., 2020. A general procedure to select calibration drugs for lab-specific validation and calibration of proarrhythmia risk prediction models: An illustrative example using the CiPA model. J Pharmacol Toxicol Methods 105, 106890. https://doi.org/10.1016/j.vascn.2020.106890", "Li, Z., Mirams, G.R., Yoshinaga, T., Ridder, B.J., Han, X., Chen, J.E., Stockbridge, N.L., Wisialowski, T.A., Damiano, B., Severi, S., Morissette, P., Kowey, P.R., Holbrook, M., Smith, G., Rasmusson, R.L., Liu, M., Song, Z., Qu, Z., Leishman, D.J., Steidl-Nichols, J., Rodriguez, B., Bueno-Orovio, A., Zhou, X., Passini, E., Edwards, A.G., Morotti, S., Ni, H., Grandi, E., Clancy, C.E., Vandenberg, J., Hill, A., Nakamura, M., Singer, T., Polonchuk, L., Greiter-Wilke, A., Wang, K., Nave, S., Fullerton, A., Sobie, E.A., Paci, M., Musuamba Tshinanu, F., Strauss, D.G., 2020. General Principles for the Validation of Proarrhythmia Risk Prediction Models: An Extension of the CiPA In Silico Strategy. Clin Pharmacol Ther 107, 102-111. https://doi.org/10.1002/cpt.1647"]}

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human ventricular cardiomyocyte electrophysiology model, comprehensive in vitro proarrhythmia assay, https://www.ahajournals.org/doi/10.1161/CIRCEP.116.004628, proarrhythmogenic risk predictor, hERG Markov gating model, https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1002061, https://www.frontiersin.org/articles/10.3389/fphys.2017.00616/full, Qnet

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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