Available online 2 May 2023
Author links open overlay panel, , , , ABSTRACTBiological particles have evolved to possess mechanical characteristics necessary to carry out their functions. We developed a computational approach to “fatigue testing in silico”, in which constant-amplitude cyclic loading is applied to a particle to explore its mechanobiology. We used this approach to describe dynamic evolution of nanomaterial properties and low-cycle fatigue in the thin spherical encapsulin shell, thick spherical Cowpea Chlorotic Mottle Virus (CCMV) capsid, and thick cylindrical microtubule (MT) fragment over 20 cycles of deformation. Changing structures and force-deformation curves enabled us to describe their damage-dependent biomechanics (strength, deformability, stiffness), thermodynamics (released and dissipated energies, enthalpy, and entropy) and material properties (toughness). Thick CCMV and MT particles experience material fatigue due to slow recovery and damage accumulation over 3–5 loading cycles; thin encapsulin shells show little fatigue due to rapid remodeling and limited damage. The results obtained challenge the existing paradigm: damage in biological particles is partially reversible owing to particle's partial recovery; fatigue crack may or may not grow with each loading cycle and may heal; and particles adapt to deformation amplitude and frequency to minimize the energy dissipated. Using crack size to quantitate damage is problematic as several cracks might form simultaneously in a particle. Dynamic evolution of strength, deformability, and stiffness, can be predicted by analyzing the cycle number (N) dependent damage, d∼(1−exp[−(N/Nf)α]), where α is a power law and Nf is fatigue life. Fatigue testing in silico can now be used to explore damage-induced changes in the material properties of other biological particles.
Statement of Significance: Biological particles possess mechanical characteristics necessary to perform their functions. We developed “fatigue testing in silico” approach, which employes Langevin Dynamics simulations of constant-amplitude cyclic loading of nanoscale biological particles, to explore dynamic evolution of the mechanical, energetic, and material properties of the thin and thick spherical particles of encapsulin and Cowpea Chlorotic Mottle Virus, and the microtubule filament fragment. Our study of damage growth and fatigue development challenge the existing paradigm. Damage in biological particles is partially reversible as fatigue crack might heal with each loading cycle. Particles adapt to deformation amplitude and frequency to minimize energy dissipation. The evolution of strength, deformability, and stiffness, can be accurately predicted by analyzing the damage growth in particle structure.
Section snippetsINTRODUCTIONOver a number of decades, cell biology research has identified many large macromolecular complexes that occur in the cell [1]. In many cases, especially in eukaryotes, these endogenous structures are complex polymeric assemblies comprised of repeating subunits that evolved to carry out normal specialized enzymatic, structural and/or dynamic functions in the cell (i.e., encapsulin, microtubules, to name a few) [2,3]. Exogenous particles represent another class; virions are a significant example
Self Organized Polymer ModelWe used the Self Organized Polymer (SOP) coarse-grained model of the polypeptide chain [67] and Langevin Dynamics simulations. In the native topology-based SOP model, each amino acid is represented by a single interaction center (Cα-atom), and the Cα-Cα covalent bond with the bond distance a= 3.8 Å (peptide bond length). The molecular potential energy of a protein conformation VMOL, specified in terms of the residue coordinates , i= 1, 2, …, M (M is the total number of amino acids), is
Mechanical fatigue measurements in silicoIn our recent work [34,35], we developed the computational methodology for performing “indentation experiments in silico” on nanoscale biological particles (Fig. 1C). As is possible in AFM experiments, the direction of applied force can be reversed, and the force amplitude and indentation frequency can be varied, etc. In this study, we extended this methodology to include the “mechanical fatigue testing in silico” capability. The investigator has the ability to switch modes back and forth from
DISCUSSIONEvolution has created complex nanoscale biological particles to carry out a range of sophisticated cellular and extracellular functions. There is a wealth of experimental evidence suggesting that the ability of biological particles to carry out their functions critically depends on their mechanical properties [72]. Nanoreactor encapsulin's (Fig. 1A) primary function is to organize a large number of specific enzymes in its interior to form a highly efficient nanoreactor for carrying out
CONCLUSIONWe developed a computational approach to “fatigue testing in silico”, which utilizes the all-atomic and coarse-grained elements of multiscale modeling of the native structures of nanoscale biological particles and the Langevin simulations of their compressive force-induced cyclic deformation. This development enabled us to computationally explore the dynamic evolution of the mechanical, energetic, and material properties of biological soft matter over 20 cycles of repeated indentation for three
Declaration of interestsThe authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:
AcknowledgmentsThis work was supported by the NIH grant R01HL148227 (to P.P. and V.B.) and by NSF grant MCB-2027530 (to V.B.)
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