Chem 590 module NMR analysis of dynamic systems

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Chem 590 module NMR analysis of dynamic systems Outline A. Intro to dynamic systems

Chem 590 module NMR analysis of dynamic systems Outline A. Intro to dynamic systems B. Stoichiometry and Kassoc by NMR C. Thermodynamic parameters by NMR D. Assembly kinetics by NMR E. Other techniques — Student presentations UV-Vis Fluorescence Isothermal titration calorimetry Potentiometry

Learning Aims A. Become familiar with dynamic systems and the meanings of the quantities

Learning Aims A. Become familiar with dynamic systems and the meanings of the quantities used to characterize them. B 1. De-mystify the black-box of Kassoc determinations by all methods. B 2. Obtain in-depth understanding of the math and models for 1: 1 binding equilibria. B 3. Understand the mathematics of the 1: 1 binding isotherm, its applications, and its limitations. B 4. Gain a comprehensive understanding of how d arises when looking at dynamic systems. B 5. Get practical, step-by-step instructions for determining stoichiometry and Kassoc by NMR. C. Learn how NMR can be used to determine ∆H and ∆S for a given equilibrium D. Achieve a beginner-level understanding of studying kinetics by NMR. The goal is to allow you to understand literature, not to teach you how to do the experiments. E. Get a beginner-level understanding of other methods for determining Kassoc UV-Vis, Fluorescence, Isothermal titration calorimetry, Potentiometry

Dynamic systems and supramolecular chemistry

Dynamic systems and supramolecular chemistry

Dynamic systems are driven by weak interactions – + + Electrostatic interactions – Dispersive

Dynamic systems are driven by weak interactions – + + Electrostatic interactions – Dispersive forces Ion–Dipole interactions Dipole–Dipole interactions Hydrogen bonds Aromatic-aromatic interactions and cation-pi interactions The hydrophobic effect

A complex metal-ligand assembly 6 H 4 L + 4 Ga(acac)3 + 12 KOH

A complex metal-ligand assembly 6 H 4 L + 4 Ga(acac)3 + 12 KOH + 12 Et 4 NCl H 4 L [Ga 4 L 6]12– K 5[Et 4 N]7[Ga 4 L 6] (+ H 2 O, KCl, etc)

A chiral guest allows resolution into enantiomeric cages Et 4 N@[Ga 4 L 6]

A chiral guest allows resolution into enantiomeric cages Et 4 N@[Ga 4 L 6] + nicotine@[Ga 4 L 6] Guest exchange nicotine@ ∆∆∆∆-[Ga 4 L 6] Resolution of diastereomers Exchange back to achiral guest without loss of host chirality Et 4 N@ ∆∆∆∆-[Ga 4 L 6]

Exchange of L 1 for L 2 occurs without complete disassembly Et 4 N@

Exchange of L 1 for L 2 occurs without complete disassembly Et 4 N@ ∆∆∆∆-[Ga 4 L 16] + 6 L 2 Et 4 N@ ∆∆∆∆-[Ga 4 L 26] + 6 L 1

Cation-π interactions: Factor Xa – inhibitor binding Aromatic cage S 4 pocket -lined by

Cation-π interactions: Factor Xa – inhibitor binding Aromatic cage S 4 pocket -lined by aromatic residues Kd = 0. 28 M Kd = 29 M

Lysozyme mutants fold more weakly when hydrophobic groups are shrunk down to Ala ∆∆G

Lysozyme mutants fold more weakly when hydrophobic groups are shrunk down to Ala ∆∆G correlates with hydrophobic (interfacial) surface area! 15 -20 cal/mol for each Å2

Cyclodextrin hosts bind hydrophobic guests with different contributions from ∆H and T∆S

Cyclodextrin hosts bind hydrophobic guests with different contributions from ∆H and T∆S

Rates of exchange and NMR N-methylformamide (left) and methyl formate (right) in CDCl 3

Rates of exchange and NMR N-methylformamide (left) and methyl formate (right) in CDCl 3 at 90 MHz

Calculated barriers to rotation trans cis trans HF 3 -21 G (Gas phase) trans

Calculated barriers to rotation trans cis trans HF 3 -21 G (Gas phase) trans cis

Rates change as a function of temperature Variable temperature NMR of DMF

Rates change as a function of temperature Variable temperature NMR of DMF

Slow exchange: integration to determine complex stoichiometry * * Integration of methoxy (*) and

Slow exchange: integration to determine complex stoichiometry * * Integration of methoxy (*) and adamantane ( • ) signals gave a 4: 1 molar ratio. (Later confirmed by X-ray)

A Practical Guide — Job plot sample prep 1. Prepare stocks [A stock] =

A Practical Guide — Job plot sample prep 1. Prepare stocks [A stock] = 5 m. M [B stock] = 5 m. M 2. Create samples with fixed [At + Bt] as below: c. A • ∆d 3. Record Dd, calculate Dd • c A, Plot as shown at right

More Examples of Job Plot Data

More Examples of Job Plot Data

Diffusion-Ordered Spectroscop. Y (DOSY) Stokes-Einstein relationship: D = k. T / 6πh. RH D

Diffusion-Ordered Spectroscop. Y (DOSY) Stokes-Einstein relationship: D = k. T / 6πh. RH D = diffusion coefficient k = Boltzmann constant h = solvent viscosity RH = hydrodynamic radius, which can be related to MW by calibration on related molecules

DOSY for a host-guest complex

DOSY for a host-guest complex

A system in fast exchange – real data for dfree and dbound [peptide]t =

A system in fast exchange – real data for dfree and dbound [peptide]t = 1 m. M

Hypothetical curves for f 11 vs. conc. plots based on the generalized 1: 1

Hypothetical curves for f 11 vs. conc. plots based on the generalized 1: 1 binding isotherm

Exemplary NMR Titration Data Average Kassoc = 180 M– 1 Schalley et al. Chem.

Exemplary NMR Titration Data Average Kassoc = 180 M– 1 Schalley et al. Chem. Eur. J. 2003, 9, 1332.

A Practical Guide — Sample preparation Choose starting concentrations 1. Prepare 5 m. L

A Practical Guide — Sample preparation Choose starting concentrations 1. Prepare 5 m. L of stock A 2. Remove 0. 6 m. L of stock and put in NMR tube 3. Calculate amount of B needed to make 4 m. L of B at 30 x [A] 4. Weigh that amount of B into vial, and dissolve in 4 m. L of stock A 5. Transfer that titrant into a gas-tight 100 or 250 u. L syringe All of this ensures that At stays constant throughout titration. 1. 2. 3. 4.

A Practical Guide — Titration 1. 2. 3. 4. Record NMR to determine dfree

A Practical Guide — Titration 1. 2. 3. 4. Record NMR to determine dfree Add 10 u. L of titrant Record NMR again Repeat… Hints: -You want to observe a significant Dd with each addition. You want lots of data points on the curved part of the isotherm. You want to get as close to saturation as possible. This will require making judgments on the fly and increasing the amount you add as you go along. It is not unusual for the increments to start at 10 u. L and to be 250 u. L by the end of the titration. - Mix well at each addition (invert >5 times). Mixing is slow in a narrow NMR tube.

A Practical Guide — Data Analysis 1. In a spreadsheet, record dobs and total

A Practical Guide — Data Analysis 1. In a spreadsheet, record dobs and total volume of titrant added for each spectrum. 2. Convert to the y and x values needed for plotting, Ddobs and Bt. 3. Input these two columns of data into Origin. 4. Fit to the 1: 1 binding isotherm to determine the parameters Ddmax and Kassoc. Be sure to try a few different initial guesses. Be sure to check the quality of fit. If you haven’t already done so, confirm stoichiometry by Job plot or other method.

Exemplary Data — van’t Hoff Plots Normally 4 -5 values for T are enough

Exemplary Data — van’t Hoff Plots Normally 4 -5 values for T are enough Rafaella Faraoni, Ph. D thesis, ETH Zurich

Exemplary Data — Very Slow Exchange Kinetics Exchange of guest P (complex 1 •

Exemplary Data — Very Slow Exchange Kinetics Exchange of guest P (complex 1 • P • 1; triangles) for guest A (complex 1 • A • 1; squares) was followed over 4 hours taking a new NMR measurement every 5 minutes. Rebek et al. Proc. Nat. Acad. Sci. USA 1999, 96, 8344.

NMR Line-Shape Analysis At a given temperature where intermediate exchange is observed, k =

NMR Line-Shape Analysis At a given temperature where intermediate exchange is observed, k = k 1 + k– 1 can be determined by fitting: A = intensity of NMR signal (y axis) w= frequency (x axis) M 0 = some magnetization constant, determined in a separate experiment W 1 = wobs–w 0 for signal 1 (offset) W 2 = wobs–w 0 for signal 2 (offset)

Exemplary Data — NMR Line-Shape Analysis - Red traces are fitted curves, black traces

Exemplary Data — NMR Line-Shape Analysis - Red traces are fitted curves, black traces are actual data. - There is a built-in module in TOPSPIN that does this fitting (CG? ). k ~ 3500 s– 1 k = 735 s– 1 k = 17. 5 s– 1

Exemplary EXSY data for guest exchange “Meout” “Mein” Integrate 3 D on-axis peaks and

Exemplary EXSY data for guest exchange “Meout” “Mein” Integrate 3 D on-axis peaks and cross peaks to obtain k 1 and k– 1 See Perrin, C. L. ; Dwyer, T. J. Chem. Rev. 1990, 935 -967 for a review