1 / 19

Computational Chemistry

Computational Chemistry. Molecular Mechanics/Dynamics F = Ma Quantum Chemistry Schr Ö dinger Equation H  = E . Simulation of a pair of polypeptides. Duration: 100 ps. Time step: 1 ps (Ng, Yokojima & Chen, 2000). Large Gear Drives Small Gear. G. Hong et. al., 1999.

kayla
Télécharger la présentation

Computational Chemistry

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Computational Chemistry • Molecular Mechanics/Dynamics F = Ma • Quantum Chemistry SchrÖdinger Equation H = E

  2. Simulation of a pair of polypeptides Duration: 100 ps. Time step: 1 ps (Ng, Yokojima & Chen, 2000)

  3. Large Gear Drives Small Gear G. Hong et. al., 1999

  4. Molecular Mechanics Force Field • Bond Stretching Term • Bond Angle Term • Torsional Term • Non-Bonding Terms: Electrostatic Interaction & van der Waals Interaction

  5. Bond Stretching Potential Eb = 1/2 kb (Dl)2 where, kb : stretch force constant Dl : difference between equilibrium & actual bond length Two-body interaction

  6. Bond Angle Deformation Potential Ea = 1/2 ka (D)2 where, ka : angle force constant D : difference between equilibrium & actual bond angle  Three-body interaction

  7. Periodic Torsional Barrier Potential Et = (V/2) (1+ cosn ) where, V : rotational barrier t: torsion angle n : rotational degeneracy Four-body interaction

  8. Non-bonding interaction van der Waals interaction for pairs of non-bonded atoms Coulomb potential for all pairs of charged atoms

  9. εiand εjare constants characteristic of the strengths of the van der Waals interactions of the two atoms, Rmin,iand Rmin,jare constants characteristic of the radii of the two atoms VDW potential of CHARMM

  10. MM Force Field Types • MM2 Small molecules • AMBER Polymers • CHAMM Polymers • BIO Polymers • OPLS Solvent Effects

  11. CHAMM FORCE FIELD FILE

  12. H H H H H H H + H H + H H atom 1 1 HA "Nonpolar Hydrogen" atom 2 2 HP "Aromatic Hydrogen" atom 3 3 H "Peptide Amide HN" atom 4 4 HB "Peptide HCA" atom 5 4 HB "N-Terminal HCA" atom 6 5 HC "N-Terminal Hydrogen" atom 7 5 HC "N-Terminal PRO HN" atom 8 3 H "Hydroxyl Hydrogen" atom 9 3 H "TRP Indole HE1" atom 10 3 H "HIS+ Ring NH" atom 11 3 H "HISDE Ring NH" atom 12 6 HR1 "HIS+ HD2/HISDE HE1" atom 13 7 HR2 "HIS+ HE1" H-H H-CH2-CH3 HO-

  13. atom 20 10 C "Peptide Carbonyl" atom 21 11 CA "Aromatic Carbon" atom 22 12 CC "C-Term Carboxylate" atom 23 13 CT1 "Peptide Alpha Carbon" atom 24 13 CT1 "N-Term Alpha Carbon" atom 25 13 CT1 "Methine Carbon" atom 26 14 CT2 "Methylene Carbon" atom 27 15 CT3 "Methyl Carbon" atom 28 14 CT2 "GLY Alpha Carbon" atom 29 14 CT2 "N-Terminal GLY CA" atom 30 16 CP1 "PRO CA Carbon"

  14. /(kcal/mol) /Ao

  15. /(kcal/mol/Ao2) /Ao

  16. /deg /(kcal/mol/rad2)

  17. /(kcal/mol) /deg

  18. Algorithms for Molecular Dynamics Runge-Kutta methods: x(t+t) = x(t) + (dx/dt) t Fourth-order Runge-Kutta x(t+t) = x(t) + (1/6) (s1+2s2+2s3+s4) t +O(t5) s1 = dx/dt s2 = dx/dt [w/ t=t+t/2, x = x(t)+s1t/2] s3 = dx/dt [w/ t=t+t/2, x = x(t)+s2t/2] s4 = dx/dt [w/ t=t+t, x = x(t)+s3t] Very accurate but slow!

  19. Algorithms for Molecular Dynamics Verlet Algorithm: x(t+t) = x(t) + (dx/dt) t + (1/2) d2x/dt2t2 + ... x(t -t) = x(t) - (dx/dt) t + (1/2) d2x/dt2t2 - ... x(t+t) = 2x(t) - x(t -t) + d2x/dt2t2 + O(t4) Efficient & Commonly Used!

More Related