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Non-covalent protein-ligand i
N         l       i li d interactions?
                                 i ?
Easy as π


             Jonathan Lai    David C. Thompson
             Ming Hong-Hao   Ingo Mügge
π hides a wealth of complexity

                                                        c
It is the ratio of circumference (c) to diameter (d)                       c
                                                               d             =
It is an irrational number                                                 d
It is a transcendental number                          3. 1415926535 8979323846 26433832
                                                       795028841971 6939937510 58209749
                                                       445923078164 0628620899 86280348
It occurs in lots of interesting places:               253421170679 8214808651 32823066
                                                       470938446095 5058223172 53594081
• Normalization of the normal distribution             284811174502 8410270193 85211055
                                                       596446229489 5493038196 44288109
• Distribution of the primes                           756659334461 2847564823 37867831
                                                       652712019091 4564856692 34603486
                                                       104543266482 1339360726 02491412
• Buffon’s needle problem                              737245870066 0631558817 48815209
                                                       209628292540 9171536436 78925903
• The Bible (I Kings 7:23 and Chronicles 4:2)          600113305305 4882046652 13841469
                                                       519415116094 3305727036 57595919
                                                       530921861173 8193261179 31051185
                                                       480744623799 6274956735 18857527
 π is tricky. So are π-π molecular interactions
                     ππ                                248912279381 8301194912 . . .


                                                                                31 August 2011
                                                                                             2
Presentation Overview: The What, Why, and How of it all



What are we trying to do?
    Perform a detailed investigation of π- π stacking interactions between heterocyclic ring
    systems and aromatic amino acid side-chains

Why are we trying to do it?
    Could we preferentially suggest heterocycles for synthesis?
    Can we extract any generalities about geometry?

How are we going to do it?
    Extract deposited structural information from the PDB
    Evaluate interactions using ab initio methodologies




                                                                                               3
Why are π-π interactions important?


    Prevalent dispersive driven interactions

    Structurally d
    St t ll and energetically i
                      ti ll important i t and i t
                                 t t inter- d intra-molecular
                                                      l l
    interactions[1]




            Sandwich                               T-shaped                               Parallel Displaced
                     -1.33 k l/ l[2]
                      1 33 kcal/mol                        -2.24 k l/ l[2]
                                                            2 24 kcal/mol                           -2.22 kcal/mol[2]
                                                                                                     2 22 k l/ l

[1] A Medicinal Chemist’s Guide to Molecular Interactions, Caterina Bissantz, Bernd Kuhn, Martin Stahl JMC, Article ASAP (2010)
[2] M. O. Sinnokrot, and C. David Sherrill, J. Phys. Chem. A, 110, 10656-10668 (2006) [CCSD(T) / aug-cc-pVDZ (carbon) / cc-pVDZ (hydrogen)]
                                                                                                                                        4
Why are π-π interactions important?
Viramune® (nevirapine)
                                                                      O
                                      Distance: 4.43Å
                                      Tilt Angle: 16.88°              C                 NH2
                                                               HO              CH
                                      ΔIE E : -1.38 kcal/mol
                                          Est.

                                                                          H2C




Nevirapine
                                                                    Tyrosine                          OH
1VRT.pdb
                                                                                              O

                                                                           HN




                                                                                    N
                                                                     N                            N




                                                               11-cyclopropyl-5,11-dihydro-4-methyl
                                                                    -6H-dipyrido[3,2-b:2',3'-e]
                                                                     6H dipyrido[3,2 b:2 ,3 e]
                                                                        [1,4]diazepin-6-one



                                                                                                      5
Relibase+[3] Search Query


    Filtering Criteria:                                   Focused on compounds of these
                                                          motifs:
    • π-π stacking interactions
              ki i         i
                                                                    N                    N       N
                                                                        N        N
    • Crystals w/ resolutions: ≤ 2.5Å
                                                                                             N       N
                                                                                         N
    • Not nucleic acids

    • No duplicates by PDB ID                             Ignored substituents

    • Aromatic, planar ligands                            Excluded compounds of these
                                                          motifs:
                                                                    O       O
                          Geometric Filtering criteria:
                      Radius:       3.4Å ≤ x ≤ 4.1Å                             N
                      Tilt angle:      0 ≤ x ≤ 40°
                      Ring pucker:       |x| ≤ 5°                                    N

                                                                    O

[3] Relibase+, v2.2                                                                                  6
Heteroatom Count ( # of Ring systems found in data set)



                 Motif          Histidine   Phenylalanine      Tyrosine   Tryptophan

                                  136           114              93          94


                                  45            67              165          82


                                  98            307             212         101


        Pyrazine (1 4
        P    i (1,4                0            11                4           4
      diazine), Triazine,
         and Others

Radius:       3.4Å ≤ x ≤ 4.1Å
Tilt angle:      0 ≤ x ≤ 40°
Ring pucker:       |x| ≤ 5°                                                            7
Non-covalently Bound Set (Histidine)


          Two distinct clusters

          1. “T-shaped”
              T shaped


          2. “Sandwich/Displaced sandwich”
                          p


       Conformations between clusters are still
     accessible (e.g. radius ~ 4.5Å, tilt angle ~ 30 )
                (e g           4 5Å               30°)



        Can still extract a wealth of information (e g
                                                  (e.g.
     ligand orientation, minimum contact distance)



Radius:       3.0Å ≤ x ≤ 5.0Å
Tilt angle:      0 ≤ x ≤ 80°
Ring pucker:       |x| ≤ 5°                               8
Non-covalently bound Amino Acid Set




                                HIS        PHE




Radius:       3.0Å ≤ x ≤ 5.0Å
                                TYR        TRP
Tilt angle:      0 ≤ x ≤ 80°
Ring pucker:       |x| ≤ 5°                      9
How did we use MOE?




Custom MOE browser

•   Review complexes from PDB

•   Automatically prepare Q-CHEM[4] input

       —   CCSD(T) / aug-cc-pVDZ basis

       —   Account for BSSE (EAB, EA, and Eb)

•   Triage to ensure correct bond orders

•   Interface with HPC environment for job
    submission

[4] Q-CHEM, v3.2                                10
What do the results tell us?


                      A little more than we could possibly understand




Shape: Position with respect to plane of His. (Below)        (Above)
Size & Colour: CCSD(T) Energy (kcal/mol) [Small and red is a very attractive interaction]   11
Density Functional Theory (DFT) and Dispersion


    DFT is formally exact in the ground state, if
    the exact form of EXC[ρ] is known
    • It is not

    DFT migrated from solid-state physics into
    the chemistry community to great effect
                y          y g
                                                                D
    • Local density approximation works well
      for materials, not so well for molecules
    • Add non-locality to better approximate
      inhomogeneity of molecular density
         – Perdew’s ‘Jacob’s Ladder of functionals’



    There are a number of well-known issues involving DFT, including its inability to deal
    with dispersion[5]


[5] C. David Sherrill, J. Chem. Phys., 132, 110902 (2010)                               12
Density Functional Theory (DFT) and Dispersion


                                                                                          1

                                                    CCSD(T) / kcal/mol
                                                                                          0
 -4.5                  -3.5                   -2.5                   -1.5          -0.5                                0.5   1.5
                                                                                          -1




                                                                                               ωB97X-D[6] / kcal/mol
                                                                                          -2

                        R
                        R² = 0.941
                                                                                          -3




                                                                                                     D
                                                                                          -4

                                                                                          -5


[6] Jeng-Da Chai and Martin Head-Gordon, Phys. Chem. Chem. Phys. 10, 6615 (2008)
                                                                                          -6
                                                                                           6


                                                                                                                                   13
Dig into the data[7]


                                                      Above (A)           Below (B)            Below (C)


Above (45)


                                    Volumetric
                                    clustering
                                     l t i

                                                                                                           Below (B)


Below (52)




•   Focus on pyrimidine (98 structures)                                            Below (C)

•   Use volumetric clustering


                                  Correlation with overall dipole?
[7] boyd, danah. 2010. "Privacy and Publicity in the Context of Big Data." WWW. Raleigh, North Carolina, April 29      14
AM1 Dipole Moment versus ωB97X-D for pyrimidine
                   containing systems
                                                       AM1 Dipole Moment
                    0
                         1                2               3                4             5                  6
                    -1


                    -2
ωB97X kcal / mol




                    -3
    X-D




                    -4
                                                                                   R² = 0.6402

                    -5


                    -6
                     6

                             Electrostatic component masks dispersive interaction, making our quest for a
                             canonical geometry somewhat redundant                                              15
Outlook and Future Work

Robust workflow in place to extract π-π interactions and to
run QM calculations within our HPC environment
    • π-π iinteractions tend to b di l d sandwiches
                   i       d be displaced      d ih
    • Potential energy surface is shallow
    • Calculating and analyzing interaction potential energy surface
                 g           y g             p             gy
      is challenging
    • ωB97X-D appears to be a viable alternative to CCSD(T)
    • Substantial electrostatic component to interaction energy
       — Correlation of pyrimidine energy with total AM1 dipole
           moment

Select suitable, representative, displaced sandwich geometry
and evaluate heterocyclic systems

                                                                   16
Cultural Highlight


                                                    Ethnographic examination of
                                                    ‘financiers’
                                                     financiers
                                                    — Investment bankers
                                                    — Risk managers
                                                    — Fund managers



                                                    “All models are wrong, but some
                                                    models are useful” – G. E. P. Box
                                                               useful



                                                    “If exactitude is elusive, it i better to be
                                                            tit d i l i           is b tt t b
                                                    approximately right than certifiably
                                                    wrong” – B. B. Mandelbrot
The Big Short, Michael Lewis, W. W. Norton (2010)
Acknowledgements


 Dr. Sandy Farmer

 Dr. Miguel Teodoro

 Dr. Bryan McKibben




                      18

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Non-covalent protein-ligand interactions? Easy as Pi

  • 1. Non-covalent protein-ligand i N l i li d interactions? i ? Easy as π Jonathan Lai David C. Thompson Ming Hong-Hao Ingo Mügge
  • 2. π hides a wealth of complexity c It is the ratio of circumference (c) to diameter (d) c d = It is an irrational number d It is a transcendental number 3. 1415926535 8979323846 26433832 795028841971 6939937510 58209749 445923078164 0628620899 86280348 It occurs in lots of interesting places: 253421170679 8214808651 32823066 470938446095 5058223172 53594081 • Normalization of the normal distribution 284811174502 8410270193 85211055 596446229489 5493038196 44288109 • Distribution of the primes 756659334461 2847564823 37867831 652712019091 4564856692 34603486 104543266482 1339360726 02491412 • Buffon’s needle problem 737245870066 0631558817 48815209 209628292540 9171536436 78925903 • The Bible (I Kings 7:23 and Chronicles 4:2) 600113305305 4882046652 13841469 519415116094 3305727036 57595919 530921861173 8193261179 31051185 480744623799 6274956735 18857527 π is tricky. So are π-π molecular interactions ππ 248912279381 8301194912 . . . 31 August 2011 2
  • 3. Presentation Overview: The What, Why, and How of it all What are we trying to do? Perform a detailed investigation of π- π stacking interactions between heterocyclic ring systems and aromatic amino acid side-chains Why are we trying to do it? Could we preferentially suggest heterocycles for synthesis? Can we extract any generalities about geometry? How are we going to do it? Extract deposited structural information from the PDB Evaluate interactions using ab initio methodologies 3
  • 4. Why are π-π interactions important? Prevalent dispersive driven interactions Structurally d St t ll and energetically i ti ll important i t and i t t t inter- d intra-molecular l l interactions[1] Sandwich T-shaped Parallel Displaced -1.33 k l/ l[2] 1 33 kcal/mol -2.24 k l/ l[2] 2 24 kcal/mol -2.22 kcal/mol[2] 2 22 k l/ l [1] A Medicinal Chemist’s Guide to Molecular Interactions, Caterina Bissantz, Bernd Kuhn, Martin Stahl JMC, Article ASAP (2010) [2] M. O. Sinnokrot, and C. David Sherrill, J. Phys. Chem. A, 110, 10656-10668 (2006) [CCSD(T) / aug-cc-pVDZ (carbon) / cc-pVDZ (hydrogen)] 4
  • 5. Why are π-π interactions important? Viramune® (nevirapine) O Distance: 4.43Å Tilt Angle: 16.88° C NH2 HO CH ΔIE E : -1.38 kcal/mol Est. H2C Nevirapine Tyrosine OH 1VRT.pdb O HN N N N 11-cyclopropyl-5,11-dihydro-4-methyl -6H-dipyrido[3,2-b:2',3'-e] 6H dipyrido[3,2 b:2 ,3 e] [1,4]diazepin-6-one 5
  • 6. Relibase+[3] Search Query Filtering Criteria: Focused on compounds of these motifs: • π-π stacking interactions ki i i N N N N N • Crystals w/ resolutions: ≤ 2.5Å N N N • Not nucleic acids • No duplicates by PDB ID Ignored substituents • Aromatic, planar ligands Excluded compounds of these motifs: O O Geometric Filtering criteria: Radius: 3.4Å ≤ x ≤ 4.1Å N Tilt angle: 0 ≤ x ≤ 40° Ring pucker: |x| ≤ 5° N O [3] Relibase+, v2.2 6
  • 7. Heteroatom Count ( # of Ring systems found in data set) Motif Histidine Phenylalanine Tyrosine Tryptophan 136 114 93 94 45 67 165 82 98 307 212 101 Pyrazine (1 4 P i (1,4 0 11 4 4 diazine), Triazine, and Others Radius: 3.4Å ≤ x ≤ 4.1Å Tilt angle: 0 ≤ x ≤ 40° Ring pucker: |x| ≤ 5° 7
  • 8. Non-covalently Bound Set (Histidine) Two distinct clusters 1. “T-shaped” T shaped 2. “Sandwich/Displaced sandwich” p Conformations between clusters are still accessible (e.g. radius ~ 4.5Å, tilt angle ~ 30 ) (e g 4 5Å 30°) Can still extract a wealth of information (e g (e.g. ligand orientation, minimum contact distance) Radius: 3.0Å ≤ x ≤ 5.0Å Tilt angle: 0 ≤ x ≤ 80° Ring pucker: |x| ≤ 5° 8
  • 9. Non-covalently bound Amino Acid Set HIS PHE Radius: 3.0Å ≤ x ≤ 5.0Å TYR TRP Tilt angle: 0 ≤ x ≤ 80° Ring pucker: |x| ≤ 5° 9
  • 10. How did we use MOE? Custom MOE browser • Review complexes from PDB • Automatically prepare Q-CHEM[4] input — CCSD(T) / aug-cc-pVDZ basis — Account for BSSE (EAB, EA, and Eb) • Triage to ensure correct bond orders • Interface with HPC environment for job submission [4] Q-CHEM, v3.2 10
  • 11. What do the results tell us? A little more than we could possibly understand Shape: Position with respect to plane of His. (Below) (Above) Size & Colour: CCSD(T) Energy (kcal/mol) [Small and red is a very attractive interaction] 11
  • 12. Density Functional Theory (DFT) and Dispersion DFT is formally exact in the ground state, if the exact form of EXC[ρ] is known • It is not DFT migrated from solid-state physics into the chemistry community to great effect y y g D • Local density approximation works well for materials, not so well for molecules • Add non-locality to better approximate inhomogeneity of molecular density – Perdew’s ‘Jacob’s Ladder of functionals’ There are a number of well-known issues involving DFT, including its inability to deal with dispersion[5] [5] C. David Sherrill, J. Chem. Phys., 132, 110902 (2010) 12
  • 13. Density Functional Theory (DFT) and Dispersion 1 CCSD(T) / kcal/mol 0 -4.5 -3.5 -2.5 -1.5 -0.5 0.5 1.5 -1 ωB97X-D[6] / kcal/mol -2 R R² = 0.941 -3 D -4 -5 [6] Jeng-Da Chai and Martin Head-Gordon, Phys. Chem. Chem. Phys. 10, 6615 (2008) -6 6 13
  • 14. Dig into the data[7] Above (A) Below (B) Below (C) Above (45) Volumetric clustering l t i Below (B) Below (52) • Focus on pyrimidine (98 structures) Below (C) • Use volumetric clustering Correlation with overall dipole? [7] boyd, danah. 2010. "Privacy and Publicity in the Context of Big Data." WWW. Raleigh, North Carolina, April 29 14
  • 15. AM1 Dipole Moment versus ωB97X-D for pyrimidine containing systems AM1 Dipole Moment 0 1 2 3 4 5 6 -1 -2 ωB97X kcal / mol -3 X-D -4 R² = 0.6402 -5 -6 6 Electrostatic component masks dispersive interaction, making our quest for a canonical geometry somewhat redundant 15
  • 16. Outlook and Future Work Robust workflow in place to extract π-π interactions and to run QM calculations within our HPC environment • π-π iinteractions tend to b di l d sandwiches i d be displaced d ih • Potential energy surface is shallow • Calculating and analyzing interaction potential energy surface g y g p gy is challenging • ωB97X-D appears to be a viable alternative to CCSD(T) • Substantial electrostatic component to interaction energy — Correlation of pyrimidine energy with total AM1 dipole moment Select suitable, representative, displaced sandwich geometry and evaluate heterocyclic systems 16
  • 17. Cultural Highlight Ethnographic examination of ‘financiers’ financiers — Investment bankers — Risk managers — Fund managers “All models are wrong, but some models are useful” – G. E. P. Box useful “If exactitude is elusive, it i better to be tit d i l i is b tt t b approximately right than certifiably wrong” – B. B. Mandelbrot The Big Short, Michael Lewis, W. W. Norton (2010)
  • 18. Acknowledgements Dr. Sandy Farmer Dr. Miguel Teodoro Dr. Bryan McKibben 18