Molecular Modeling of Crystal Structures molecules surfaces crystals 1. Potential energy functions QM ab initio: distribution of electrons over the system. Gaussian94, Gamess, ... Semi-empirical methods: pre-calculated values or neglect of some parts of the ab-initio calculation. MOPAC (mopac6, 7, 93, 2000) Empirical methods: observed/fitted values for interactions between atoms. Sybyl, Cerius2, Gromos, ... Potential energy functions Differences: * Speed (as a function of system size) * Accuracy * Intended use (heat of fusion; conformational energies; transition states; vibrations/spectra; …) * Transferability / applicability * Availability / user interface Potential energy functions Focus: Molecular Mechanics (MM) “Ball and Spring” model of molecules, based on simple equations giving U as function of atomic coordinates G = U + pV - TS H = U + pV EMM = U Molecular Mechanics system from atoms + bonds EMM = Estretch + Ebend + Etorsion + Evdw + Ecoul + ... bonded • stretching • bending • torsion H non-bonded H H C C H H H MM: interactions via bonds r bond stretch Es = 1/2 ks(r-r0)2 … + C3(r-r0)3 + C4(r-r0)4 E - True .. modeled via (r-r0)2 r0 r Force field parameters: bond lengths (Dreiding) C Es = 1/2 ks(r-r0)2 C Bond type r0 (Å) ks (kcal/mol.A2) C(sp3)--C(sp3) C(sp3)--C(sp2) C(sp2)--C(sp2) C(sp3)--H 1.53 700 1.43 700 1.33 1400 1.09 700 C C E kS=700: E=3 kcal ~ r=0.09Å MM: interactions via bonds bending Eb = 1/2 kb(-0)2 E 0 Force field parameters: bond angles (Dreiding) C O H E Angle type 0 (°) X--C(sp3)--X X--O(sp3)--X 109.471 100 104.510 100 kb(kcal/mol.rad2) E=3 kcal ~ =14° Force field parameters: torsion angles (Dreiding) Etor = V1[1 - cos (-01) ] V2[1 - cos 2(-02)] V3[1 - cos 3(-03)] C E V3 0 60 120 180 C Force field parameters: torsion angles (Dreiding) C C torsion type C C n V (kcal/mol) 0 (°) X--C(sp3)--C(sp3)--X 3 1.0 X--C(sp2)--C(sp2)--X 2 22.5 180 0 Non-bonded interactions: Van der Waals repulsive: ~r-10 attractive: ~r-6 E=D0[(r0/r)12-2(r0/r)6] (Lennard-Jones) E=D0{exp[a(r0/r)]-b(r0/r)6} (Buckingham; “exp-6”) Non-bonded interactions: Coulomb (electrostatic) atomic partial charges: + + - Eij=(qixqj)/(rij) + + atomic/molecular multipoles: E=ixj/Dr3 additional energy terms in force fields * out-of-plane energy term * Hydrogen bond energy term MM energy calculation EMM = Estretch + Ebend + Etorsion + Evdw + Ecoul + ... bonded 1 non-bonded 5 2 3 4 6 bonded non-bonded 1…2 1…3 1…4 1…4: scaled 1…5 1…6/7/8 8 7 Some available force fields FF software Gromos Gromos Charmm Charmm; Quanta Amber Amber Tripos Sybyl Dreiding Cerius Compass Cerius CVFF Cerius Glass2.01 Cerius focus bio bio bio general general general general ionic Force field parameters: where do they come from? 1. Mimic physical properties of individual elements or atom types, producing a “physical” force field. Properties can be taken from experimental data, or ab-initio calculations. Examples: Dreiding, Compass. + outcome will be ‘reasonable’, predictable; extension to new systems relatively straightforward. - performance not very good. Force field parameters: where do they come from? 2. Optimize all parameters with respect to a set of test data, producing a “consistent” force field. Test set can be chosen to represent the system under investigation. Examples: CFF, CVFF. + outcome often good for a particular type of systems, or a particular property (e.g. IR spectrum). - extension to new systems can be difficult; no direct link to ‘physical reality’ Force field parameters: where do they come from? 3. Apply common sense and look at what the neighbors do. Examples: Gromos. + does not waste time on FF parameterization; resonable results. -? Atomic charges Why? To include the effect of the charge distribution over the system. Some sp2 oxygens are more negative than others. How? Assign a small charge to each atom. Caveat: interaction with other force field parameters (e.g. VdW). Atomic charges What is the atomic charge? * Based on atomic electronegativity, optimized for a given FF. example: Gasteiger charges. •Based on atomic electronegativity and the resulting electrical field. example: Charge Equilibrium charges (QEq). * Based on the electronic distribution calculated by QM. example: Mulliken charges. * Based on the electrostatic potential near the molecule, calculated by a non-empirical method (or determined experimentally). examples: Chelp, ChelpG, RESP. Atomic charges Properties and features of different charge schemes: * Depends on molecular conformation? * Easy (=quick) to calculate? * Performance in combination with force field? Known-to-be-good combinations: Tripos -- Gasteiger Dreiding -- ESP Compass -- Compass Atomic charges: charges fitted to the ElectroStatic Potential (ESP) mechanism: Coulomb interactions result from the electrostatic potential around a molecule. + + + + + H - -- O -- + H + + + + H+ Atomic charges: charges fitted to the ElectroStatic Potential (ESP) sample point molecule H QM wave function electron density O H sample true ESP mathematical fit atomic charges that reproduce the true ESP for each sample point: atomsq/r= ESPQM * atomic q as variables Atomic charges: charges fitted to the ElectroStatic Potential (ESP) Properties and features of different fitting schemes: * Number of sample points. * Position of sample points. * Additional restraints (e.g. all qH in CH3 equal). * Fitting to multiple conformations. Known-to-be-good fitting schemes: ChelpG RESP