Abstract:The excited-state (ES) geometry optimization and electronic
emission
(fluorescence and phosphorescence) spectra and the ES vibrational
spectra of large systems are great challenges in quantum chemistry.
In this work, we develop a generalized energy-based fragmentation
(GEBF) approach to compute the localized ES structures and vibrational
frequencies of large systems. In this approach, the ES energy derivatives
(gradients or Hessians) for a localized ES of a large system can be
obtained by combining the ES ener… Show more
“…Although larger fragments have sometimes been used for proteins, 37 we are able to achieve our target accuracy of 1 kcal/mol using mostly singleresidue fragments, except for the substrate whose treatment is discussed below. Alternatively, overlapping fragments have sometimes been used for polypeptides and proteins, [24][25][26][27][28][37][38][39][40][41][42] which can be rationalized in terms of a generalized (G)MBE. 1,6,43,44 To date, most overlappingfragment applications use a one-body approach that captures through-bond interactions but not through-space interactions.…”
Quantum-chemical calculations of enzymatic thermochemistry require hundreds of atoms to obtain converged results, severely limiting the levels of theory that can be used. Fragment-based approaches offer a means to circumvent this problem, and we present calculations on enzyme models containing 500–600 atoms using the many-body expansion with three- and four-body terms. Results are compared to benchmarks in which the supramolecular enzyme–substrate complex is described at the same level of theory. When the amino acid fragments contain ionic side chains, the many-body expansion oscillates under vacuum boundary conditions, exaggerating the role of many-body effects. Rapid convergence is restored using low-dielectric boundary conditions. This implies that full-system calculations in the gas phase are inappropriate benchmarks for assessing errors introduced by fragment-based approximations. For calculations with dielectric boundary conditions, a three-body protocol with distance cutoffs retains sub-kcal/mol fidelity with respect to a supersystem calculation at the same level of theory, as does a two-body protocol when combined with a full-system correction at a low-cost level of theory. Both calculations dramatically reduce the cost of large-scale enzymatic thermochemistry, paving the way for application of high-level ab initio methods to very large systems.
“…Although larger fragments have sometimes been used for proteins, 37 we are able to achieve our target accuracy of 1 kcal/mol using mostly singleresidue fragments, except for the substrate whose treatment is discussed below. Alternatively, overlapping fragments have sometimes been used for polypeptides and proteins, [24][25][26][27][28][37][38][39][40][41][42] which can be rationalized in terms of a generalized (G)MBE. 1,6,43,44 To date, most overlappingfragment applications use a one-body approach that captures through-bond interactions but not through-space interactions.…”
Quantum-chemical calculations of enzymatic thermochemistry require hundreds of atoms to obtain converged results, severely limiting the levels of theory that can be used. Fragment-based approaches offer a means to circumvent this problem, and we present calculations on enzyme models containing 500–600 atoms using the many-body expansion with three- and four-body terms. Results are compared to benchmarks in which the supramolecular enzyme–substrate complex is described at the same level of theory. When the amino acid fragments contain ionic side chains, the many-body expansion oscillates under vacuum boundary conditions, exaggerating the role of many-body effects. Rapid convergence is restored using low-dielectric boundary conditions. This implies that full-system calculations in the gas phase are inappropriate benchmarks for assessing errors introduced by fragment-based approximations. For calculations with dielectric boundary conditions, a three-body protocol with distance cutoffs retains sub-kcal/mol fidelity with respect to a supersystem calculation at the same level of theory, as does a two-body protocol when combined with a full-system correction at a low-cost level of theory. Both calculations dramatically reduce the cost of large-scale enzymatic thermochemistry, paving the way for application of high-level ab initio methods to very large systems.
“…(The treatment of the substrate is discussed below.) Alternatively, overlapping fragments have sometimes been used for polypeptides and proteins. − ,− This can be motivated in terms of a generalized (G)MBE, ,,, but most overlapping fragment applications to date have used a one-body approach that captures through-bond interactions but not through-space interactions . A two-body GMBE can capture both, but is relatively expensive in terms of the number of subsystems that are generated. , As such, we stick to the simple MBE( n ) approach in this work.…”
Electronic structure calculations on enzymes require
hundreds of
atoms to obtain converged results, but fragment-based approximations
offer a cost-effective solution. We present calculations on enzyme
models containing 500–600 atoms using the many-body expansion,
comparing to benchmarks in which the entire enzyme–substrate
complex is described at the same level of density functional theory.
When the amino acid fragments contain ionic side chains, the many-body
expansion oscillates under vacuum boundary conditions but rapid convergence
is restored using low-dielectric boundary conditions. This implies
that full-system calculations in the gas phase are inappropriate benchmarks
for assessing errors in fragment-based approximations. A three-body
protocol retains sub-kilocalorie per mole fidelity with respect to
a supersystem calculation, as does a two-body calculation combined
with a full-system correction at a low-cost level of theory. These
protocols pave the way for application of high-level quantum chemistry
to large systems via rigorous, ab initio treatment
of many-body polarization.
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