Journal: PLOS Computational Biology

Article Title: Coupling and heterogeneity modulate pacemaking capability in healthy and diseased two-dimensional sinoatrial node tissue models

doi: 10.1371/journal.pcbi.1010098

Figure Lengend Snippet: Hardware and software specification for model reproducibility.

Article Snippet: Simulation , MATLAB R2019b; MATLAB GPU coder , Simulation , MATLAB R2020a; CUDA 8.0; Visual Studio 2015.

Techniques: Software

Journal: Drug metabolism and disposition: the biological fate of chemicals

Article Title: Elucidation of Metabolic and Disposition Pathways for Maribavir in Nonhuman Primates through Mass Balance and Semi-Physiologically Based Modeling Approaches.

doi: 10.1124/dmd.121.000493

Figure Lengend Snippet: Fig. 2. Simplified diagram for the semi-PBPK model of maribavir disposition in cynomolgus monkeys. Numbers in the graph denote physiologic and biologic pro- cesses: (1) transit of substance from stomach to duodenum; (2) transit within the small intestine; (3) transit within the colon and to feces; (4) absorption from the small intestine; (5) conversion of glucuronides to parent, which occurs in the last two compartments of the ileal lumen and throughout the colon; (6) absorption from the colon; (7) biliary excretion of parent; (8) glucuronidation of parent and secretion to duodenal lumen; (9) excretion of glucuronides in urine; (10) transport between the liver and central compartment; (11) transport between the central and peripheral compartments; (12) renal excretion of parent; and (13) all other pathways for parent. The two segments of the jejunum, four segments of the ileum, and five of the colon were not separately depicted in this diagram; the detailed diagram in MATLAB SimBiology is shown in Supplemental Fig. 1. MBV, maribavir (parent); MBV-Gluc, maribavir glucuronides; Met, other metabolites of maribavir.

Article Snippet: The model construction, parameter estimation, simulations, and sensitivity analyses were conducted with SimBiology version 5.7 hosted in MATLAB R2017b with Optimization Toolbox version 8.0 (The Mathworks Inc., Natick, MA).

Techniques:

Journal: Drug metabolism and disposition: the biological fate of chemicals

Article Title: Elucidation of Metabolic and Disposition Pathways for Maribavir in Nonhuman Primates through Mass Balance and Semi-Physiologically Based Modeling Approaches.

doi: 10.1124/dmd.121.000493

Figure Lengend Snippet: Fig. 6. Observed plasma concentration vs. time profiles of maribavir in cynomolgus monkey overlaid with fitted curves [BDC only (A)] or simulations [intact animals (B, C, D, and E)] in MATLAB SimBiology. (A) Observed data in individual BDC animals overlaid with fitted curve; (B) simulated data with a single intravenous administration in intact animals, using fm(Gluc) at 0.728 or 0.853 at both 5-mg/kg and 13-mg/kg doses, overlaid with individually observed data; (C) simulated data with a single p.o. administration in intact animals, using fm(Gluc) at 0.728 at 10-mg/kg dose, overlaid with individually observed data; (D) simulated data with repeated b.i.d. p.o. administration at 10, 30, or 100 mg/kg in intact male animals within the first 8 hours on day 2, using fm(Gluc) at 0.728, overlaid with individually observed data (Koszalka et al., 2002); (E) simulated data with repeated b.i.d. p.o. administrations at 10, 30, or 100 mg/kg in intact male animals within the first 8 hours on day 27, using fm(Gluc) at 0.728, overlaid with individually observed data (Koszalka et al., 2002).

Article Snippet: The model construction, parameter estimation, simulations, and sensitivity analyses were conducted with SimBiology version 5.7 hosted in MATLAB R2017b with Optimization Toolbox version 8.0 (The Mathworks Inc., Natick, MA).

Techniques: Clinical Proteomics, Concentration Assay