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SCCDFTB as a bridge between MM and high-level QM. Jan Hermans University of North Carolina 1.

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Presentation on theme: "SCCDFTB as a bridge between MM and high-level QM. Jan Hermans University of North Carolina 1."— Presentation transcript:

1 SCCDFTB as a bridge between MM and high-level QM. Jan Hermans University of North Carolina 1

2 1. SCCDFTB better than MM a.Examples Simulation of crambin (Haiyan Liu) Simulation of “dipeptides” (Hao Hu) b. But why? Concerted changes of geometry in N-methyl acetamide Hydrogen bonding between two N-methyl acetamide molecules More flexible 2. Develop and test MM force fields From QM to MM via SCCDFTB 2

3 Simulation of crambin (Haiyan Liu; 2001) Liu, HY, Elstner, M, Kaxiras, E, Frauenheim, T, Hermans, J, & Yang, W. Quantum mechanics simulation of protein dynamics on long time scale. Proteins, 44: , Improved agreement of backbone geometry in folded state From QM to MM via SCCDFTB Simulation of “dipeptides” (Hao Hu; 2002) Hu, H, Elstner, M., Hermans, J. Comparison of a QM/MM force field and molecular mechanics force fields in simulations of alanine and glycine "dipeptides" (Ace-Ala-Nme and Ace-Gly-Nme) in water in relation to the problem of how to model the unfolded peptide backbone in solution. Proteins, 50, (2003). Improved agreement of backbone geometry in solution 3

4 amber, charmm, gromos, opls-aa vs. each other and vs. SCCDFTB SCCDFTB Ace-Ala-Nme in explicit water Hao Hu,

5 Why better accuracy with SCCDFTB? SCCDFTB reproduces concerted changes of geometry charge fluctuations hydrogen bond geometry example: N-methyl acetamide 5

6 6 Concerted changes of geometry in N-methyl acetamide, CH 3 -NH-CO-CH 3 Recipe: 1. Twist about NH-CO bond 2. Minimize the energy (with SCCDFTB)  H-N-C  C-N-CA2  H-N-CA2 tetrahedral planar

7 7 Fluctuation of charge in N-methyl acetamide Fluctuations of charges and geometry are coupled atom:CONHN  180 º (energy minimum)  = 90 º (saddle point)

8 8 Non-spherical electron distribution: C=O interacts with H-N Non-linear N-H … O=C hydrogen bonds  NHO prefers 180º  HOC likes 130º Cf. Side chain hydrogen bonds in proteins and by ab initio QM: Morozov, Kortemme, Baker

9 SCCDFTB MM force field 9 SCCDFTB favors bent arrangement Simple Point Charge model of MM favors linear structures Distribution of  COH in dimers of N-methyl acetamide. Hermans, J. Hydrogen bonds in molecular mechanics force fields. Adv. Protein Chem. 72, , 2006.

10 1. Correlation of DFT (B3LYP/631G*) and SCCDFTB energies 10 But … SCCDFTB is too flexible: 1000 conformations from 1 ns MD simulation with SCCDFTB

11 2. Energy profile for internal rotation in butane 11 SCCDFTB is too flexible: DFT B3LYP/631G*: eclipsed:  E  =±120 = 3.35 gauche:  E  = ±60 = 0.83 cis:  E  =0 = 5.69 SCCDFTB: eclipsed:  E  =±120 = 2.57 gauche:  E  = ±60 = 0.45 cis:  E  =0 = 3.80 (relative to trans,  = 180) MP2: eclipsed:  E  =±120 = 3.31 gauche:  E  = ±60 = 0.62 cis:  E  =0 = 5.51

12 End of part 1

13 Molecular mechanics energy function: how to improve it? 1. How precise is this expansion? 2. How accurate is this model? 3. How accurate are the implementations (amber, charmm, … 13 intramolecular non-bonded

14 Assume a high-level QM method as “REALITY”: DFT (B3LYP/631G*) Try to reproduce its energy. (can always choose a higher level of QM.)

15 The slope is very close to 1 The RMS deviation is 0.07 kcal/mol (mean  E pot = 3) 15 * By minimizing the RMS deviation Recipe STEP 1: 1. Simulate (1 ns with SCCDFTB) 2. Save 1000 conformations Example: methane, CH 4 Recipe STEP 2: 3. Compute E pot with B3LYP/631G* 4. Fit* a new MM forcefield 5. Compute E pot with the new MM force field

16 What are the most important energy parameters for methane? Parametervalue  rmsd 10 2 K l, C-H K , H-C-H K l, C-H K , H-C-H K l,l, C-H, C-H K d,H·H rms residual Standard quadratic MM terms include these terms (not needed in simulations with fixed bond lengths) not very useful 16 precision

17 Systems studied to date (manuscript): “rigid” molecules methane, benzene, water molecules with internal rotation ethane, propane, butane, methyl-benzene Non-bonded interactions methane…methane, ethane…ethane water…methane, water…water Some results and some conclusions …. 17

18 Geometric parameters agree well. Transferability between related molecules Compared with “standard” force fields LESSONS LEARNED: 18

19 Nonbonded interactions 19 with independent values according to mean ESP charges with charge neutrality with one fixed value System  C free  C ESP  C neutral  C fix 1 H 2 O, H 2 O ‑ (215) (-108) (54) (215) CH 4, CH (95) (-23.75) (5.94) Lowest From ESP charges Results of different fits for Coulomb interactions acceptable =

20 Coulomb interactions:(we skipped a slide) (Water: Fixed Point charges based on ESP inadequate) Methane and ethane: ESP charges can be used Parametermethane dimer (1) methane dimer (2) ethane dimer 12 B C,C 1,200,000 1,110, B C,H 60,00062,00052, B H,H 1, Methane and ethane: Lennard-Jones repulsive parameters Conclusion: Nice agreement

21 Geometric parameters agree well. Fixed point charge (FPC) model for Coulomb energy is poor for water … water and water … methane LESSONS LEARNED: 21

22 Geometric parameters agree well. Fixed point charge (FPC) model for Coulomb energy is poor for water … water and water … methane Intermolecular parameters for methane and ethane are similar (and FPC model is OK). LESSONS: 22 LESSONS LEARNED:

23 Geometric parameters agree well. Fixed point charge (FPC) model for Coulomb energy is poor for water … water and water … methane Intermolecular parameters for methane and ethane are similar (and FPC model is OK). Exponent of L-J repulsive term = 12 is good. LESSONS: 23 LESSONS LEARNED:

24 Butane: “intrinsic” torsion term non-bonded interactions (1/r 12 and 1/r) 1-4 C,C1-5 and 1-4 C,H 1-6, 1-5, 1-4 H,H * In the SCCDFTB simulation forced 360º rotation about C 2 -C 3, = 14 kcal/mol * Fit several MM models: A0* has 38 parameters,  = A5 has 12 parameters,  = CC HH

25 Butane: Fit for model A5 25

26 Butane: 26 Critical tests: * Re-calculate DFT (B3LYP/631G*) energies * Compare energies at minima and barriers DFT vs. A5 (and 2 others) * Simulate butane with A5 force field (and 2 others) Calculate PMF for torsion about C 2 -C 3

27 red curve = MM energy black dots = DFT energy black curve = PMF DFT energy is systematically high 27 Simulation with A5 force field

28 Slope of best fit is

29 modelnpnp  E  =  120  E  =  60  E  =0  A  =  120  A  =  60  A  =0 slopermsd A0h A A DFT With more parameters (n p ) in the MM force field: The slope goes down to 1.02 The PMF becomes a little bit sharper Energies and free energies at minima and maxima (relative to minimum at  = 180º) Slope and rmsd of correlation between DFT and MM energies 29

30 Geometric parameters agree well. Fixed point charge (FPC) model for Coulomb energy is poor for water … water and water … methane Intermolecular parameters for methane and ethane are similar and FPC model is OK. Exponent of L-J repulsive term = 12 is good. Torsion in ethane, propane, butane: omit terms in 1/r “messy” set of 1-4, 1-5 and 1-6 repulsive terms LESSONS: 30 LESSONS LEARNED:

31 Why is SCCDFTB important in this project: (1)Fast to run (2)Easy to set up (need only coordinates) (3)Equilibrium geometry agrees well with DFT (4)Slightly more flexible: do not miss anything

32 Thanks to Weitao Yang Hao Hu (coauthor of paper) Future work: I hope so 32


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