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Quantum Biochemistry
Jan H. Jensen
Department of Chemistry
University of Copenhagen

Slides can be found at:
DOI:10.6084/m9.figshare.912548

Dias 1
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Department of Chemistry

Computational Chemistry
Schrödinger Equation (1926)

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∂
ˆ
i Ψ = H Ψ
∂t

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The underlying physical laws necessary for the mathematical
theory of a large part of physics and the whole of chemistry are
thus completely known, and the difficulty is only that the exact
application of these laws leads to equations much too
complicated to be soluble.

Paul Dirac, 1929
Dias 2

Not anymore!
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Department of Chemistry

Numerically “exact” solutions: CCSD(T)/CBS

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Dias 3

Bartlett: 10.1103/RevModPhys.79.291
Department of Chemistry

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CCSD(T)/CBS: benchmarking faster methods

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CCSD(T)/CBS currently too “slow” for routine chemical
applications, but …

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CCSD(T)/CBS now sufficiently “fast” to generate large amounts
of data for benchmarking faster methods

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Dias 4
Department of Chemistry

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The rise of semi-empirical methods

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Semi-empirical methods: quantum mechanical (QM) methods
with fitted parameters

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Fitting and validation can now done using CCSD(T)/CBS instead
of experimental data: a huge conceptual and practical
advance.
Better QM: fewer parameters and wider applicability
Examples: DFT-D, PM6-DH+, HF-3c
HF-3c: HF/minimal basis set corrected for dispersion & BSSE
using 9 parameters. No experimental input.

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Grimme: 10.1002/jcc.23317
Dias 5
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Department of Chemistry

Validation against CCSD(T)/CBS: ΔE

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A+B è AŸB
Dias 6

Grimme: 10.1002/jcc.23317
ft her

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Department of Chemistry

Validation against experiment: ΔG
Fast methods è frequencies è free energies

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MAD: 2.1 kcal/mol
Dias 7

Grimme: 10.1002/chem.201200497
ft her

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Department of Chemistry

Semi-empirical methods: new horizons
QM structures and free energies for large systems
Accurate protein structures
Accurate activation free energies for enzymatic reactions
Accurate binding free energies for protein-ligand complexes
Automation and Computational High-Throughput Screening
NMR chemical shift prediction for proteins
Screening enzyme mutants

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Dias 8

Grimme: 10.1002/chem.201200497
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Department of Chemistry

QM structures and free energies for proteins
Large systems require different algorithms

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The Effective Fragment Molecular Orbital Method

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Jan H. Jensen, Anders Christensen and
Casper Steinmann (SDU)
University of Copenhagen

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Dmitri Fedorov
AIST, Japan
JPC A 2010, 114, 8705
PLoS ONE 2012, 7:e41117
PLoS ONE 2012, 7:e44480
PLoS ONE 2013, 8: e60602
PLoS ONE 2014 (arxiv:1305.0676)

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Dias 9
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Department of Chemistry

Large systems handled by fragmentation
Fragmentation è QM calculations è reassembly

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Dias 10
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Department of Chemistry

All-QM enzymatic reaction barrier

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Dias 11

10.1371/journal.pone.0060602
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Department of Chemistry

Automation and High-Throughput Screening
Systematic Screening of Enzymatic Reaction Barriers
Martin Hediger and Luca De Vico

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Allan Svendsen (Novozymes)
PLoS ONE 2012 7:e49849
PeerJ 2013 1:e111
PeerJ 2013 1:e145

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Dias 12
Department of Chemistry

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Automation and High-Throughput Screening

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All possible single mutations è PM6 barrier è
combination mutants

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ca 500-1000 mutants can be screened
Dias 13
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Department of Chemistry

Automation and High-Throughput Screening
Proteins Structure Determination from Chemical Shifts
Anders Christensen (Novo Nordisk STAR PhD) & Lars Bratholm

Thomas Hamelryck, Kresten Lindorff-Larsen, Kaare Teilum (BIO)
JCTC 2011, 7 2078
PLoS ONE 2013, 8:e84123

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Dias 14

10.1021/ar900068s
Department of Chemistry

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A fast chemical shift predictor for proteins

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Representative fragments è QM calculations è empirical
model

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QM calculations benchmarked against CCSD(T)
Between 500,000 and 1,000,000 QM calculations needed

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Dias 15

PLoS ONE 2013, 8:e84123
Department of Chemistry

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Summary

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CCSD(T)/CBS: Experimental accuracy for small, but now chemically
relevant, molecules.

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CCSD(T)/CBS replaces experiment for parameterization and
validation of faster semi-empirical QM methods: more thorough
and rigorous parameterization leads to more generally applicable
methods.
New semi-empirical QM methods are now finally sufficiently
accurate to be of practical use.
New semi-empirical methods are sufficiently fast for highthroughput screening (1000-1,000,000 QM calculations): new
molecular design ideas for experimental chemists.
Quantum chemists need to adapt: automation/cheminformatic
considerations should be integral part of new modeling projects.

Dias 16
Department of Chemistry

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Thank you! Questions?

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Slides are available at
DOI:10.6084/m9.figshare.912548

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Dias 17
Department of Chemistry

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Dias 18

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Quantum Biochemistry: the rise of semiempirical methods

  • 1. Department of Chemistry ift her holder KU- ndre ns navn” og dato”: nulinjen, dsæt” > ed / ted og eltet for ”Enhedens Sidefod Quantum Biochemistry Jan H. Jensen Department of Chemistry University of Copenhagen Slides can be found at: DOI:10.6084/m9.figshare.912548 Dias 1
  • 2. ft her Department of Chemistry Computational Chemistry Schrödinger Equation (1926) rter uden stilling ∂ ˆ i Ψ = H Ψ ∂t punktpå brug rykning venstrekst uden stilling, mindsk ng ndre ns navn” og dato”: nulinjen, dsæt” > ed / ted og eltet for ”Enhedens Sidefod The underlying physical laws necessary for the mathematical theory of a large part of physics and the whole of chemistry are thus completely known, and the difficulty is only that the exact application of these laws leads to equations much too complicated to be soluble. Paul Dirac, 1929 Dias 2 Not anymore!
  • 3. ft her Department of Chemistry Numerically “exact” solutions: CCSD(T)/CBS rter uden stilling punktpå brug rykning venstrekst uden stilling, mindsk ng ndre ns navn” og dato”: nulinjen, dsæt” > ed / ted og eltet for ”Enhedens Sidefod Dias 3 Bartlett: 10.1103/RevModPhys.79.291
  • 4. Department of Chemistry ft her CCSD(T)/CBS: benchmarking faster methods rter uden stilling CCSD(T)/CBS currently too “slow” for routine chemical applications, but … punktpå brug rykning CCSD(T)/CBS now sufficiently “fast” to generate large amounts of data for benchmarking faster methods venstrekst uden stilling, mindsk ng ndre ns navn” og dato”: nulinjen, dsæt” > ed / ted og eltet for ”Enhedens Sidefod Dias 4
  • 5. Department of Chemistry ft her The rise of semi-empirical methods rter uden stilling Semi-empirical methods: quantum mechanical (QM) methods with fitted parameters punktpå brug rykning venstrekst uden stilling, mindsk ng ndre ns navn” og dato”: Fitting and validation can now done using CCSD(T)/CBS instead of experimental data: a huge conceptual and practical advance. Better QM: fewer parameters and wider applicability Examples: DFT-D, PM6-DH+, HF-3c HF-3c: HF/minimal basis set corrected for dispersion & BSSE using 9 parameters. No experimental input. nulinjen, dsæt” > ed / ted og eltet for ”Enhedens Sidefod Grimme: 10.1002/jcc.23317 Dias 5
  • 6. ft her Department of Chemistry Validation against CCSD(T)/CBS: ΔE rter uden stilling punktpå brug rykning venstrekst uden stilling, mindsk ng ndre ns navn” og dato”: nulinjen, dsæt” > ed / ted og eltet for ”Enhedens Sidefod A+B è AŸB Dias 6 Grimme: 10.1002/jcc.23317
  • 7. ft her rter uden stilling Department of Chemistry Validation against experiment: ΔG Fast methods è frequencies è free energies punktpå brug rykning venstrekst uden stilling, mindsk ng ndre ns navn” og dato”: nulinjen, dsæt” > ed / ted og eltet for ”Enhedens Sidefod MAD: 2.1 kcal/mol Dias 7 Grimme: 10.1002/chem.201200497
  • 8. ft her rter uden stilling punktpå brug rykning venstrekst uden stilling, mindsk ng Department of Chemistry Semi-empirical methods: new horizons QM structures and free energies for large systems Accurate protein structures Accurate activation free energies for enzymatic reactions Accurate binding free energies for protein-ligand complexes Automation and Computational High-Throughput Screening NMR chemical shift prediction for proteins Screening enzyme mutants ndre ns navn” og dato”: nulinjen, dsæt” > ed / ted og eltet for ”Enhedens Sidefod Dias 8 Grimme: 10.1002/chem.201200497
  • 9. ft her Department of Chemistry QM structures and free energies for proteins Large systems require different algorithms rter uden stilling The Effective Fragment Molecular Orbital Method punktpå brug rykning Jan H. Jensen, Anders Christensen and Casper Steinmann (SDU) University of Copenhagen venstrekst uden stilling, mindsk ng Dmitri Fedorov AIST, Japan JPC A 2010, 114, 8705 PLoS ONE 2012, 7:e41117 PLoS ONE 2012, 7:e44480 PLoS ONE 2013, 8: e60602 PLoS ONE 2014 (arxiv:1305.0676) ndre ns navn” og dato”: nulinjen, dsæt” > ed / ted og eltet for ”Enhedens Sidefod Dias 9
  • 10. ft her rter uden stilling Department of Chemistry Large systems handled by fragmentation Fragmentation è QM calculations è reassembly punktpå brug rykning venstrekst uden stilling, mindsk ng ndre ns navn” og dato”: nulinjen, dsæt” > ed / ted og eltet for ”Enhedens Sidefod Dias 10
  • 11. ft her Department of Chemistry All-QM enzymatic reaction barrier rter uden stilling punktpå brug rykning venstrekst uden stilling, mindsk ng ndre ns navn” og dato”: nulinjen, dsæt” > ed / ted og eltet for ”Enhedens Sidefod Dias 11 10.1371/journal.pone.0060602
  • 12. ft her rter uden stilling Department of Chemistry Automation and High-Throughput Screening Systematic Screening of Enzymatic Reaction Barriers Martin Hediger and Luca De Vico punktpå brug rykning Allan Svendsen (Novozymes) PLoS ONE 2012 7:e49849 PeerJ 2013 1:e111 PeerJ 2013 1:e145 venstrekst uden stilling, mindsk ng ndre ns navn” og dato”: nulinjen, dsæt” > ed / ted og eltet for ”Enhedens Sidefod Dias 12
  • 13. Department of Chemistry ft her Automation and High-Throughput Screening rter uden stilling All possible single mutations è PM6 barrier è combination mutants punktpå brug rykning venstrekst uden stilling, mindsk ng ndre ns navn” og dato”: nulinjen, dsæt” > ed / ted og eltet for ”Enhedens Sidefod ca 500-1000 mutants can be screened Dias 13
  • 14. ft her rter uden stilling punktpå brug rykning Department of Chemistry Automation and High-Throughput Screening Proteins Structure Determination from Chemical Shifts Anders Christensen (Novo Nordisk STAR PhD) & Lars Bratholm Thomas Hamelryck, Kresten Lindorff-Larsen, Kaare Teilum (BIO) JCTC 2011, 7 2078 PLoS ONE 2013, 8:e84123 venstrekst uden stilling, mindsk ng ndre ns navn” og dato”: nulinjen, dsæt” > ed / ted og eltet for ”Enhedens Sidefod Dias 14 10.1021/ar900068s
  • 15. Department of Chemistry ft her A fast chemical shift predictor for proteins rter uden stilling Representative fragments è QM calculations è empirical model punktpå brug rykning venstrekst uden stilling, mindsk ng QM calculations benchmarked against CCSD(T) Between 500,000 and 1,000,000 QM calculations needed ndre ns navn” og dato”: nulinjen, dsæt” > ed / ted og eltet for ”Enhedens Sidefod Dias 15 PLoS ONE 2013, 8:e84123
  • 16. Department of Chemistry ft her Summary rter uden stilling CCSD(T)/CBS: Experimental accuracy for small, but now chemically relevant, molecules. punktpå brug rykning venstrekst uden stilling, mindsk ng ndre ns navn” og dato”: nulinjen, dsæt” > ed / ted og eltet for ”Enhedens Sidefod CCSD(T)/CBS replaces experiment for parameterization and validation of faster semi-empirical QM methods: more thorough and rigorous parameterization leads to more generally applicable methods. New semi-empirical QM methods are now finally sufficiently accurate to be of practical use. New semi-empirical methods are sufficiently fast for highthroughput screening (1000-1,000,000 QM calculations): new molecular design ideas for experimental chemists. Quantum chemists need to adapt: automation/cheminformatic considerations should be integral part of new modeling projects. Dias 16
  • 17. Department of Chemistry ft her Thank you! Questions? rter uden stilling Slides are available at DOI:10.6084/m9.figshare.912548 punktpå brug rykning venstrekst uden stilling, mindsk ng ndre ns navn” og dato”: nulinjen, dsæt” > ed / ted og eltet for ”Enhedens Sidefod Dias 17
  • 18. Department of Chemistry de: og klik på dsæt ndre ns navn” og dato”: nulinjen, dsæt” > ed / ted og eltet for ”Enhedens Sidefod Dias 18