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Accurate description of non-covalent interactions in QM methods applicable to large systems Jan ˇ Rez´ c Institute of Organic Chemistry and Biochemistry, Academy of Sciences of the Czech Republic, Prague, Czech Republic May 21, 2014 Jan ˇ Rez´ c (IOCB AS CR) Cuby framework May 21, 2014 1 / 26
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Page 1: Accurate description of non-covalent interactions in QM ...marge.uochb.cas.cz/...semiempirical_methods_IBBI.pdf · Accurate description of non-covalent interactions in QM methods

Accurate description of non-covalent interactions inQM methods applicable to large systems

Jan Rezac

Institute of Organic Chemistry and Biochemistry,Academy of Sciences of the Czech Republic,

Prague, Czech Republic

May 21, 2014

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 1 / 26

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Introduction

Importance of noncovalent interactions

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 2 / 26

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Introduction

Computational methods

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 3 / 26

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Introduction

What do we do?

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 4 / 26

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Benchmark data

Benchmarks

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 5 / 26

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Benchmark data

The benchmark method: CCSD(T)/CBS

Accurate and consistent description of different interactions

Applicable to reasonably large systems (up to cca. 40 atoms)

Composite calculation:E = EMP2/CBS + ∆CCSD(T )∆CCSD(T ) = ECCSD(T )/BS − EMP2/BS

BS = aug-cc-pVDZ → error 3%BS = aug-cc-pVTZ → error 1%

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 6 / 26

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Benchmark data

S66 data set

S66 - 66 comlexes of (bio)organic molecules1,2

All important interaction motifs covered

Intended as a replacement of S22

1Rezac, J.; Riley, K. E.; Hobza, P. J. Chem. Theory Comput. 2011, 7, 2427–2438.2Rezac, J.; Riley, K. E.; Hobza, P. J. Chem. Theory Comput. 2011, 7, 3466–3470.

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 7 / 26

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Benchmark data

S66 data set

S66 - 66 comlexes of (bio)organic molecules1,2

All important interaction motifs covered

Intended as a replacement of S22

Auxiliary data sets covering nonequilibrium geometries:

S66x8 - Dissociation curvesS66a8 - Angular displacements

More than 1000 CSCD(T)/CBS points

1Rezac, J.; Riley, K. E.; Hobza, P. J. Chem. Theory Comput. 2011, 7, 2427–2438.2Rezac, J.; Riley, K. E.; Hobza, P. J. Chem. Theory Comput. 2011, 7, 3466–3470.

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 7 / 26

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Benchmark data

Other benchmark data sets

Halogented molecules

X40 - 40 systems, including halogen bonding3

X40x10 - dissociation curves

Large complexes

L7 - large systems, up to 110 atoms4

3Rezac, J.; Riley, K. E.; Hobza, P. J. Chem. Theory Comput. 2012, 8, 4285–4292.4Sedlak, R.; Janowski, T.; Pitonak, M.; Rezac, J.; Pulay, P.; Hobza, P. J. Chem. Theory Comput. 2013

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 8 / 26

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Parameterized correlated methods

Correlated methods

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 9 / 26

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Parameterized correlated methods

Parameterized correlated methods

Even advanced correlated methods can bebefit from empiricalparameterization

Near-bechmark results at substantially lower cost: MP2.55,SCS-MI-CCSD6

5Pitonak, M.; Neogrady, P.; Cerny, J.; Grimme, S.; Hobza, P. ChemPhysChem 2009, 10, 282.6Pitonak, M.; Rezac, J.; Hobza, P. Phys. Chem. Chem. Phys. 2010, 12, 9611.

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 10 / 26

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Parameterized correlated methods

Parameterized correlated methods

Even advanced correlated methods can bebefit from empiricalparameterization

Near-bechmark results at substantially lower cost: MP2.55,SCS-MI-CCSD6

5Pitonak, M.; Neogrady, P.; Cerny, J.; Grimme, S.; Hobza, P. ChemPhysChem 2009, 10, 282.6Pitonak, M.; Rezac, J.; Hobza, P. Phys. Chem. Chem. Phys. 2010, 12, 9611.

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 10 / 26

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One-electron methods

One-electron methods

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 11 / 26

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One-electron methods

One-electron methods

DFT-D

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 12 / 26

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Corrections for semiempirical methods

Semiempirical methods

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 13 / 26

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Corrections for semiempirical methods

Semiempirical methods - Advantages

Approximate but retain the adavntages of QM calculations

No system-specific preparation needed

Very fast, routine calculations of large systems possible7

7Stewart, J. J. P. J. Mol. Model. 2008, 15, 765.

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 14 / 26

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Corrections for semiempirical methods

Semiempirical methods - Problems

Poor description of noncovalent interactions:

London dispersion is missing (one-electron method)Hydrogen bonds underestimated (hydrogen not polarizable)Halogen bonds not described in minimal basis set

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 15 / 26

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Corrections for semiempirical methods

Semiempirical methods - Problems

Poor description of noncovalent interactions:

London dispersion is missing (one-electron method)Hydrogen bonds underestimated (hydrogen not polarizable)Halogen bonds not described in minimal basis set

Solution: empirical corrections

Developed for most common semiempirical methods: AM1, PM3,RM1, OM2, PM6

Applicable also to density functional tight binding (DFTB)

PM6: Good results, fast, covers almost all elements

Three generations: PM6-DH8, PM6-DH29, PM6-D3H410

8J. Rezac, J. Fanfrlık, D. Salahub, and P. Hobza, J. Chem. Theory Comput. 5, 1749 (2009)9M. Korth, M. Pitonak, J. Rezac, and P. Hobza, J. Chem. Theory Comput. 6, 344 (2010)

10J. Rezac and P. Hobza, J Chem Theory Comput 8, 141 (2012)

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 15 / 26

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Corrections for semiempirical methods

Corrections for semiempirical methods: Dispersion

Dispersion is missing

Empirical correction analogous to DFT-D

Edisp =∑i

∑j<i

fdamp(rij)c6,ij

r6ij

PM6-D3H411 is based on the advanced D3 correction by S.Grimme12, uses environment-dependent c6 coefficients

Additional correction for underestimated repulsion in hydrocarbons

11J. Rezac and P. Hobza, J Chem Theory Comput 8, 141 (2012)12Grimme, S.; Antony, J.; Ehrlich, S.; Krieg, H. J. Chem. Phys. 132, 154104 (2010)

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 16 / 26

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Corrections for semiempirical methods

Corrections for semiempirical methods: Hydrogen bond

Empirical correction, function of local geometry of the H-bond

Independent calculation added to the SQM result

PM6-D3H4 solved all issued of the previous generations

EHB = c · frad(rDA) · fang (αDHA) · fPT (rDH , rHA) · scharged

frad and fang are polynomials of desired properties

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 17 / 26

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Corrections for semiempirical methods

Corrections for semiempirical methods: Hydrogen bond

Empirical correction, function of local geometry of the H-bond

Independent calculation added to the SQM result

PM6-D3H4 solved all issued of the previous generations

H2 H+ H4

exact gradient NO YES YESproton transfer NO YES YESaccurate for charged systems YES NO YESsmooth energy derivatives NO NO YEScoordinates per bond (torsions) 4 (2) 7 (4) 3 (0)

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 17 / 26

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Corrections for semiempirical methods

Corrections for semiempirical methods: Halogen bond

-X correction13, specific for PM6 where repulsion was stronglyunderestimated

Later reparameterized on better benchmarks14

PM6-D3H4X can describe wide range of interactions with chemicalaccuracy

13J. Rezac and P. Hobza, Chem. Phys. Lett. 506, 286 (2011)14Brahmkshatriya, P. S. et al., Curr. Comput.-Aid. Drug. 2013, 9, 118–129.

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 18 / 26

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Corrections for semiempirical methods

Results - S66 data set

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 19 / 26

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Corrections for semiempirical methods

Results - S66 data set

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 19 / 26

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Corrections for semiempirical methods

Results - comparison

Errors in kcal/mol

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 20 / 26

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Corrections for semiempirical methods

Applications of the methods

In silico drug design15,16

Optimization of whole protein or large part of itReliable protein-ligand interaction energiesCan reproduce and predict experimentOutperforms MM forcefield

15Fanfrlık, J. et al. Phys. Chem. B 2010, 114, 12666–12678.16Lepsık, M.; Rezac, J.; Kolar, M.; Pecina, A.; Hobza, P.; Fanfrlık, J. ChemPlusChem 2013

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 21 / 26

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Corrections for semiempirical methods

Peptide conformations

GFA tripeptide, CCSD(T) benchmark for 16 low-lying conformers17

Relative energy range 1.6 kcal/mol

17Valdes, H.; Pluhackova, K.; Pitonak, M.; Rezac, J.; Hobza, P. Phys. Chem. Chem. Phys. 2008, 10, 2747.

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 22 / 26

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Corrections for semiempirical methods

Peptide conformations

GFA tripeptide, CCSD(T) benchmark for 16 low-lying conformers17

Relative energy range 1.6 kcal/mol

Method RMSE (kcal/mol)

AMBER ff, water charges 2.4AMBER ff, gas phase charges 1.4

MP2/CBS 0.4BLYP-D3 0.8

DFTB-D 0.6DFTB-D3 0.4DFTB-D3H4 1.1

PM6 1.3PM6-D3H4 0.7

17Valdes, H.; Pluhackova, K.; Pitonak, M.; Rezac, J.; Hobza, P. Phys. Chem. Chem. Phys. 2008, 10, 2747.

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 22 / 26

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Corrections for semiempirical methods

PM7

The latest semeiempirical method PM718 already contains correctionsderived from PM6-DH2

It performs similarly to PM6-D3H4 in small complexes19

It strongly overetsimates the interactions in larger systems,we are working on a fix

18Stewart, J. J. P. J Mol Model 2013, 19, 1–32.19J. Hostas, J. Rezac, and P. Hobza, Chem. Phys. Lett. 568–569, 161 (2013)

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 23 / 26

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Corrections for semiempirical methods

Data and method availability

Our benchmark data sets are available online at www.begdb.com

Corrected SQM methods up to PM6-DH2 are available in MOPAC

The -D3H4 correction implementation is available atwww.molecular.cz/˜rezac

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 24 / 26

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Corrections for semiempirical methods

Summary

Large database of benchmark data is indispensable for development ofparameterized methods

It is important to use also nonequilibrium geometries

Parameterized correlated methods such as MP2.5 and SCS-MI-CCSDare economic alternative to CCSD(T) calculations

Corrected SQM methods can describe noncovalent interactions witherror < 1 kcal/mol

Applicable to thousands of atoms

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 25 / 26

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Corrections for semiempirical methods

Acknowledgements

Pavel Hobza

Kevin Riley (USA)

Robert Sedlak

Michal Pitonak (Slovakia)

Jindrich Fanfrlık

Martin Lepsık

Haydee Valdes (Spain)

Jan Rezac (IOCB AS CR) Cuby framework May 21, 2014 26 / 26


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