scholarly journals Animal and in silico models for the study of sarcomeric cardiomyopathies

2015 ◽  
Vol 105 (4) ◽  
pp. 439-448 ◽  
Author(s):  
D. J. Duncker ◽  
J. Bakkers ◽  
B. J. Brundel ◽  
J. Robbins ◽  
J. C. Tardiff ◽  
...  
Keyword(s):  
In Silico ◽  
In Silico Models

scholarly journals Combining species specific in vitro & in silico models to predict in vivo food effect in a preclinical stage – case study of Venetoclax

2021 ◽  
pp. 105840
Author(s):  
Laura J. Henze ◽  
Niklas J. Koehl ◽  
Joseph P. O'Shea ◽  
René Holm ◽  
Maria Vertzoni ◽  
...  
Keyword(s):  
In Silico ◽  
Food Effect ◽  
Preclinical Stage ◽  
Species Specific ◽  
In Silico Models

Estimation of uncertainty in multi-level in silico models predicting biomarkers of drug-induced proarrhythmic risk

2021 ◽  
Vol 350 ◽  
pp. S64-S65
Author(s):  
K. Kopanska ◽  
J.C. Gómez-Tamayo ◽  
J. Llopis-Lorente ◽  
B.A. Trenor-Gomis ◽  
J. Sáiz ◽  
...  
Keyword(s):  
In Silico ◽  
Drug Induced ◽  
Proarrhythmic Risk ◽  
Multi Level ◽  
In Silico Models ◽  
Estimation Of Uncertainty

scholarly journals Patient-specific in silico models can quantify primary implant stability in elderly human bone

2017 ◽  
Author(s):  
Juri A. Steiner ◽  
Urs A.T. Hofmann ◽  
Patrik Christen ◽  
Jean M. Favre ◽  
Stephen J. Ferguson ◽  
...  
Keyword(s):  
In Silico ◽  
Human Bone ◽  
Patient Specific ◽  
Implant Stability ◽  
Primary Implant ◽  
In Silico Models

scholarly journals The ‘Inverted Bond’ revisited. Analysis of ‘in silico’ models and of [1.1.1]Propellane using Orbital Forces

2019 ◽  
Author(s):  
Rubén Laplaza ◽  
Julia Contreras-García ◽  
Franck Fuster ◽  
François Volatron ◽  
Patrick Chaquin
Keyword(s):  
Total Energy ◽  
Molecular Orbital ◽  
In Silico ◽  
Bond Energies ◽  
Parent Molecule ◽  
Ca 50 ◽  
In Silico Models ◽  
Mo Theory

<div>This article dwells on the nature of “inverted bonds”, which make reference to the σ interaction between two s-p hybrids by their smaller lobes, and their presence in [1.1.1]propellane <b>1</b>. Firstly we study H 3 C-C models of C-C bonds with frozen HCC angles reproducing the constraints of various degrees of “inversion”. Secondly, the molecular orbital (MO) properties of [1.1.1]propellane <b>1</b> and [1.1.1]bicyclopentane <b>2</b> are analyzed with the help of orbital forces as a criterion of bonding/antibonding character and as a basis to evaluate bond energies. Triplet and cationic state of <b>1</b> species are also considered to confirm the bonding/antibonding character of MOs in the parent molecule. These approaches show an essentially non-bonding character of the σ central CC interaction in propellane. Within MO theory, this bonding is thus only due to π-type MOs (also called ‘banana’ MOs or ‘bridge’ MOs) and its total energy is evaluated to ca. 50 kcal/mol. In bicyclopentane <b>2</b>, despite a strong σ-type repulsion, a weak bonding (15-20 kcal/mol) exists between both central CC, also due to π-type interactions, though no bond is present in the Lewis structure. Overall, the so-called ‘inverted’ bond, as resulting from a σ overlap of the two s-p hybrids by their smaller lobes, appears highly questionable.</div>

scholarly journals Individual Contributions of Cardiac Ion Channels on Atrial Repolarization and Reentrant Waves: A Multiscale In-Silico Study

2022 ◽  
Vol 9 (1) ◽  
pp. 28
Author(s):  
Henry Sutanto
Keyword(s):  
Ion Channels ◽  
Action Potential ◽  
In Silico ◽  
Computational Study ◽  
Surrogate Marker ◽  
Cardiac Ion Channels ◽  
Atrial Electrophysiology ◽  
In Silico Study ◽  
In Silico Models ◽  
Atrial Repolarization

The excitation, contraction, and relaxation of an atrial cardiomyocyte are maintained by the activation and inactivation of numerous cardiac ion channels. Their collaborative efforts cause time-dependent changes of membrane potential, generating an action potential (AP), which is a surrogate marker of atrial arrhythmias. Recently, computational models of atrial electrophysiology emerged as a modality to investigate arrhythmia mechanisms and to predict the outcome of antiarrhythmic therapies. However, the individual contribution of atrial ion channels on atrial action potential and reentrant arrhythmia is not yet fully understood. Thus, in this multiscale in-silico study, perturbations of individual atrial ionic currents (INa, Ito, ICaL, IKur, IKr, IKs, IK1, INCX and INaK) in two in-silico models of human atrial cardiomyocyte (i.e., Courtemanche-1998 and Grandi-2011) were performed at both cellular and tissue levels. The results show that the inhibition of ICaL and INCX resulted in AP shortening, while the inhibition of IKur, IKr, IKs, IK1 and INaK prolonged AP duration (APD). Particularly, in-silico perturbations (inhibition and upregulation) of IKr and IKs only minorly affected atrial repolarization in the Grandi model. In contrast, in the Courtemanche model, the inhibition of IKr and IKs significantly prolonged APD and vice versa. Additionally, a 50% reduction of Ito density abbreviated APD in the Courtemanche model, while the same perturbation prolonged APD in the Grandi model. Similarly, a strong model dependence was also observed at tissue scale, with an observable IK1-mediated reentry stabilizing effect in the Courtemanche model but not in the Grandi atrial model. Moreover, the Grandi model was highly sensitive to a change on intracellular Ca2+ concentration, promoting a repolarization failure in ICaL upregulation above 150% and facilitating reentrant spiral waves stabilization by ICaL inhibition. Finally, by incorporating the previously published atrial fibrillation (AF)-associated ionic remodeling in the Courtemanche atrial model, in-silico modeling revealed the antiarrhythmic effect of IKr inhibition in both acute and chronic settings. Overall, our multiscale computational study highlights the strong model-dependent effects of ionic perturbations which could affect the model’s accuracy, interpretability, and prediction. This observation also suggests the need for a careful selection of in-silico models of atrial electrophysiology to achieve specific research aims.

scholarly journals Performance of In Silico Models for Mutagenicity Prediction of Food Contact Materials

2018 ◽  
Vol 163 (2) ◽  
pp. 632-638 ◽  
Author(s):  
Melissa Van Bossuyt ◽  
Els Van Hoeck ◽  
Giuseppa Raitano ◽  
Tamara Vanhaecke ◽  
Emilio Benfenati ◽  
...  
Keyword(s):  
In Silico ◽  
Contact Materials ◽  
Food Contact Materials ◽  
Food Contact ◽  
In Silico Models
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