Theoretical analysis and computer modeling of myocardial energy metabolism under physiological and heart failure conditions predicts that cytoplasmic ATP and ADP levels both fall roughly in proportion to reductions in total adenine nucleotide pool observed in heart failure. Assessing sub-maximal force and velocity in loaded myocardial muscle at MgATP levels in the range of 2 to 8 mM, Beard et al. ( Biophys. J. 2022. 121: 3213–3223) observed effects of MgATP on myocardial power generation that suggest that although maximal force and velocity are not substantially sensitive to differences in [MgATP] that occur in the normal versus failing myocardium, maximal power generation, which occurs at submaximal force and velocity, is sensitive to [MgATP]. Previously developed computational models are not able to reproduce the observed dependence on MgATP. The goals of the present study are to construct and analyze a computational model of muscle dynamics to analyze data on the dependence of maximal force, velocity, and power generation on [MgATP] in order to determine a potential mechanism to explain the MgATP-dependent phenomena. Model development and identification was guided by dynamic measurements on permeabilized mouse trabecular fibers. The data include force-velocity relation and time constant of tension development. The mathematical model used to simulate cardiomyocyte crossbridge mechanics was based on the previous crossbridge and calcium models from Tewari et al. (J Mol Cell Cardiol, 2016. 96: 11-25) and Campbell et al. (Biophys J, 2018. 115: 543-553). The developed model includes strain- and metabolite-dependent transition between attachment states, and ATP-dependent destabilization of the super-relaxed (SRX) myosin state. Model-based analysis of force and velocity dyanmics is consistent with the hypothesis that ATP assocition with the myosin protein influence the kinetics and thermodynamics of transitions between the SRX and disorded (DRX) states. Funding: Department of Veterans Affairs Merit Review Award I01BX000740 (A.J.B.) and National Heart, Lung, and Blood Institute grant R01 HL154624 (A.J.B., D.A.B.) This is the full abstract presented at the American Physiology Summit 2023 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.