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ELEC-E3260 - Biomolecules
Quantum mechanics and modeling
Lassi Hällström 14.01.2020
Learning goals
Need to know
• Hierarchy of interactions
• Time independent Schrödinger equation
• What is modeling
Should know
• Wavefunction
• Differences between modeling techniques, approximations
• What can be modeled
Nice to know
• Time dependent Schrödinger equation
• Mathematical formulations of quantum mechanical problems
Biomolecules
https://www.youtube.com/watch?v=YO244P1e9QM
Biomolecules theory
https://upload.wikimedia.org/wikipedia/commons/thumb/5/5f/Protein_structure_%28full%29.png/1200px-Protein_structure_%28full%29.png
• Interaction of atoms and electrons
– Fundamentally quantum problem
• Different electronic interactions
result in bonding and forming of
molecules
• Chemical reactions between
molecules drive biological
processes
Chemical reactions
https://pdb101.rcsb.org/motm/238
H2 + O2 → H2O
PDB-101 Molecule of the month October 2019
Atomic theory
https://en.wikipedia.org/wiki/File:Bohr_atom_animation_2.gif https://en.wikipedia.org/wiki/File:Niels_Bohr.jpg
Atomic theory
https://en.wikipedia.org/wiki/File:Bohr_atom_animation_2.gifhttps://upload.wikimedia.org/wikipedia/commons/e/e7/Hydrogen_Density_Plots.png
Intro to QM
• Physical model for describing nature at atomic scales (and below)
• Quantities such as energy, momentum, electric charge limited to discrete
(quantized) values
• QM is essentially a mathematical construct, ‘real’ particles such as electrons
are special cases.
Postulates of QM
• The state of a quantum mechanical system is
completely specified by a wavefunction Ψ(𝒓, 𝑡).
• Observables are described by operators
• Measurement of the observable associated with
operator መ𝐴, must result in some eigenvalue 𝑎,
which satisfies the eigenvalue equation መ𝐴Ψ = 𝑎Ψ
• Time evolution of the system is defined by the
time-dependent Schrödinger equation
𝐻 ۧ|Ψ = E| ۧΨ
𝐻 ۧ|Ψ(𝑡) = iℏ𝑑
𝑑𝑡| ۧΨ(t)
The Double slit experiment
Particle and potential • Simple case: infinite potential well
Particle and potential
• Atomic orbitals are solutions to
electron(s) with given energy
oscillating in the potential defined
by the nucleus and other
electrons.
• Why wont the electron ‘fall’ into
the nucleus?
• 𝐻 = −ℏ2
2𝑚𝑒∇2 −
𝑞2
4𝜋𝜖𝑟
Molecular orbitals
even / gerade
odd / ungerade
H2 energy diagram
https://upload.wikimedia.org/wikipedia/commons/thumb/a/a8/Dihydrogen-MO-Diagram.svg/1600px-Dihydrogen-MO-Diagram.svg.png
https://www.dreamstime.com/stock-illustration-types-chemical-bonding-diagram-covalent-polar-nonpolar-ionic-metallic-hydrogen-bridge-bonds-models-educational-image80714653
H2 molecule
https://www.chemicool.com/definition/ground_state_of_diatomic_molecule.html
Particle interaction defined by QM
• (Full) Configuration Interaction doable
for 22 electrons, 4 atoms (2017)
https://aip.scitation.org/doi/10.1063/1.4989858
𝐻 ۧ|Ψ = E| ۧΨ
+ spin effects +1.63eV+0.98eV
O2 ionization energy ~12.2 eV
Ground state
Particle interaction defined by QM
• Approximate methods needed for
large systems
• Born-Oppenheimer: nuclei
considered static
𝐻 ۧ|Ψ = E| ۧΨ
Constant
Particle interaction defined by QM
• Approximate methods needed for
large systems
• Born-Oppenheimer: nuclei
considered static
• LCAO: no interaction between
atoms
𝐻 ۧ|Ψ = E| ۧΨ
Constant
LCAO of H2+ ion
• LCAO is variational calculated energies
always higher than true ground state
• Mostly useful as qualitative model,
Combined electron vibration-rotation
Emission spectrum of N2 molecule, J. A. Marquisee
Molecular structure
• Electron structure defines
molecule shape proteins
Alanine+ ionAlanine
~10eV difference
Length scale
Sebastian Kmiecik, Dominik Gront, Michal Kolinski, Lukasz Wieteska, Aleksandra Elzbieta Dawid, and Andrzej KolinskiChemical Reviews 2016 116 (14), 7898-7936 DOI: 10.1021/acs.chemrev.6b00163
Part 2: Modelling
Recap
• Electron interaction and atomic bonds
fundamentally quantum mechanical problem
𝐻 ۧ|Ψ = E| ۧΨ
Configuration interaction
• Numerically exact in the full CI
limit.
• Scales exponentially with
system size
• CCSD(T) considered ‘Gold
standard’ of quantum chemistry
Booth, G., Grüneis, A., Kresse, G. et al. Towards an exact description of electronic wavefunctions in real solids. Nature 493, 365–370 (2013) doi:10.1038/nature11770
Coupled Cluster example
A. Álvarez, M. Borges, J. J. Corral-Pérez, J. G. Olcina, L. Hu, D. Cornu, R. Huang, D. Stoian, A. Urakawa, ChemPhysChem 2017, 18, 3135.
Density Functional Theory
• Instead of solving the many-body system Ψ 𝒓𝑖 explicitly, solve electron
density 𝑛(𝒓).
• Energy depends on density: ground state energy is found at ground state
density
• In theory exact, in practice, energy functional is approximate.
P. Hohenberg and W. Kohn, Phys. Rev. 136, B864 (1964)
Density Functional Theory
• Allows approximate solution of
electronic interaction for systems of
~100 atoms.
• Solutions on atomic scale
– Bond lengths, relaxed geometry
HOMO of para-benzoquinone
Reaction barriers and reaction rates
https://upload.wikimedia.org/wikipedia/commons/thumb/9/99/Rxn_coordinate_diagram_5.PNG/800px-Rxn_coordinate_diagram_5.PNG
𝑘 = 𝐴𝑒−𝐸𝑎𝑅𝑇
CO oxidation catalyst
• Catalysts can lower the
energy barrier
Lopez-Acevedo, O., Kacprzak, K., Akola, J. et al. Quantum size effects in ambient CO oxidation catalysed by ligand-protected gold clusters. Nature Chem 2, 329–334 (2010) doi:10.1038/nchem.589
DFT example
Katyanna S. Bezerra, Umberto L. Fulco, Stephany C. Esmaile, José X. Lima Neto, Leonardo D. Machado, Valder N. Freire, Eudenilson L. Albuquerque, and Jonas I. N. OliveiraThe Journal of Physical Chemistry B 2019 123 (30), 6421-6429 DOI: 10.1021/acs.jpcb.9b04468
Atomic interaction approximated with MM (MD)
• Atoms (nucleus+electrons) considered as single
point-like particles.
• Forces between atoms described by a classical
potential or force field.
– Potential can be initially computed with more accurate
methods
• Much lighter than QM methods but cannot
describe electronic interactions.
– All chemical reactions are electronic interactions.
– https://www.youtube.com/watch?v=5JcFgj2gHx8
MD example
Atomistic Molecular Dynamics Simulations of Mitochondrial DNA Polymerase γ: Novel Mechanisms of Function and PathogenesisLiliya Euro, Outi Haapanen, Tomasz Róg, Ilpo Vattulainen, Anu Suomalainen, and Vivek SharmaBiochemistry 2017 56 (9), 1227-1238DOI: 10.1021/acs.biochem.6b00934
Molecular level: coarse-grained and multiscale models
• Small molecules (10s of
atoms) electronic interaction
can be included
• Large molecules such as
proteins require simplification
– Studying protein folding is one of
the largest current computational
chemistry challenges
Biological system level, multi-state modeling
• State space model
• Does not necessarily
need any information of
spatial structure
• Instead of fundamental
forces, state evolves
according to predefined
rules
• For example reaction
rates from DFT
State 1
State 4State 3
State 2
Quantum computing?
https://upload.wikimedia.org/wikipedia/en/b/b2/Quantum_Computer_Zurich.jpg
• Y. Nam et al., “Ground-state
energy estimation of the water
molecule on a trapped ion
quantum computer,”
arxiv.org/1902.10171.
• Exact calculation H2 needs 56
qubits (Gabriel Popkin, Waiting for the
Quantum Simulation Revolution, October
21, 2019, Physics 12, 112.
https://physics.aps.org/articles/v12/112)
A Kandala et al. Nature 549, 242–246 (2017)
doi:10.1038/nature23879
Conclusion
𝐻 ۧ|Ψ = E| ۧΨ
Relevant webcomic
https://www.merelyaboutstuff.com/Comics/Physics%20degree.png