Multiscale Materials Modeling

Similar documents
QM/MM: what have we learned, where are we, and where do we go from here?

Multiscale Materials Modeling

Example questions for Molecular modelling (Level 4) Dr. Adrian Mulholland

Lecture 11: Potential Energy Functions

Structural Bioinformatics (C3210) Molecular Mechanics

Session 1. Introduction to Computational Chemistry. Computational (chemistry education) and/or (Computational chemistry) education

Molecular Mechanics, Dynamics & Docking

Computational Modeling of Protein-Ligand Interactions

Homology modeling. Dinesh Gupta ICGEB, New Delhi 1/27/2010 5:59 PM

Computational Methods. Chem 561

Multi-Configuration Molecular Mechanics Based on Combined Quantum Mechanical and Molecular Mechanical Calculations

DISCRETE TUTORIAL. Agustí Emperador. Institute for Research in Biomedicine, Barcelona APPLICATION OF DISCRETE TO FLEXIBLE PROTEIN-PROTEIN DOCKING:

Multiscale Materials Modeling

Why Proteins Fold? (Parts of this presentation are based on work of Ashok Kolaskar) CS490B: Introduction to Bioinformatics Mar.

Molecular dynamics simulation. CS/CME/BioE/Biophys/BMI 279 Oct. 5 and 10, 2017 Ron Dror

Lecture 2-3: Review of forces (ctd.) and elementary statistical mechanics. Contributions to protein stability

A new extension of QM/MM methods: the adaptive buffered-force QM/MM method

Computational Chemistry. An Introduction to Molecular Dynamic Simulations

Potential Energy (hyper)surface

Free Energy Simulation Methods

Chem 1140; Molecular Modeling

States of Matter. Intermolecular Forces. The States of Matter. Intermolecular Forces. Intermolecular Forces

Solutions to Assignment #4 Getting Started with HyperChem

Jack Smith. Center for Environmental, Geotechnical and Applied Science. Marshall University

3rd Advanced in silico Drug Design KFC/ADD Molecular mechanics intro Karel Berka, Ph.D. Martin Lepšík, Ph.D. Pavel Polishchuk, Ph.D.

Molecular Dynamics, Monte Carlo and Docking. Lecture 21. Introduction to Bioinformatics MNW2

Quantum Mechanics - Molecular Mechanics (QM/MM) CHEM 430

Semi Empirical Force Fields and Their Limitations. Potential Energy Surface (PES)

All-atom Molecular Mechanics. Trent E. Balius AMS 535 / CHE /27/2010

Molecular Modelling. part of Bioinformatik von RNA- und Proteinstrukturen. Sonja Prohaska. Leipzig, SS Computational EvoDevo University Leipzig

Water models in classical simulations

Molecular Dynamics. A very brief introduction

Density Functional Theory: from theory to Applications

Intro to ab initio methods

Molecular Mechanics. C. David Sherrill School of Chemistry and Biochemistry Georgia Institute of Technology. January 2001

Subject of the Lecture:

Molecular Modeling of Inorganic Compounds

Biochemistry,530:,, Introduc5on,to,Structural,Biology, Autumn,Quarter,2015,

Lecture 1. Conformational Analysis in Acyclic Systems

CE 530 Molecular Simulation

NWChem: Molecular Dynamics and QM/MM

Chemistry 4560/5560 Molecular Modeling Fall 2014

The Molecular Dynamics Method

Chapter 11 Intermolecular Forces, Liquids, and Solids

An introduction to Molecular Dynamics. EMBO, June 2016

Chapter 2 Approximation Methods Can be Used When Exact Solutions to the Schrödinger Equation Can Not be Found.

QUANTUM MECHANICAL METHODS FOR ENZYME KINETICS

Molecular Mechanics. I. Quantum mechanical treatment of molecular systems

We can model covalent bonding in molecules in essentially two ways:

Chemistry Instrumental Analysis Lecture 11. Chem 4631

Fragmentation methods

Literature values: ΔH f, gas = % error Source: ΔH f, solid = % error. For comparison, your experimental value was ΔH f = phase:

QM/MM Theory and Examples with ORCA

Introduction to molecular dynamics

Molecular Dynamics Simulation of a Nanoconfined Water Film

Bioengineering 215. An Introduction to Molecular Dynamics for Biomolecules

Liquids and Solids The Condensed States of Matter

The Chemical Basis of Life

Computer simulation methods (2) Dr. Vania Calandrini

Theoretical models for the solvent effect

PAPER No. : 8 (PHYSICAL SPECTROSCOPY) MODULE NO. : 23 (NORMAL MODES AND IRREDUCIBLE REPRESENTATIONS FOR POLYATOMIC MOLECULES)

Exercise 2: Solvating the Structure Before you continue, follow these steps: Setting up Periodic Boundary Conditions

CHAPTER TEN MOLECULAR GEOMETRY MOLECULAR GEOMETRY V S E P R CHEMICAL BONDING II: MOLECULAR GEOMETRY AND HYBRIDIZATION OF ATOMIC ORBITALS

Hybridisation of Atomic Orbitals

Molecular Mechanics. Yohann Moreau. November 26, 2015

Oxygen Binding in Hemocyanin

CAP 5510 Lecture 3 Protein Structures

Dihedral Angles. Homayoun Valafar. Department of Computer Science and Engineering, USC 02/03/10 CSCE 769

Same idea for polyatomics, keep track of identical atom e.g. NH 3 consider only valence electrons F(2s,2p) H(1s)

Can a continuum solvent model reproduce the free energy landscape of a β-hairpin folding in water?

Hybrid Ab-Initio/Empirical Molecular Dynamics: Combining the ONIOM Scheme with the Atom-Centered Density Matrix Propagation (ADMP) Approach

Development and Application of Combined Quantum Mechanical and Molecular Mechanical Methods

Hybrid QM/MM and Related Electronic Structure Methods: Lecture 7

k θ (θ θ 0 ) 2 angles r i j r i j

Molecular Mechanics / ReaxFF

Scuola di Chimica Computazionale

For the following intermolecular forces:

Lecture 2 and 3: Review of forces (ctd.) and elementary statistical mechanics. Contributions to protein stability

T6.2 Molecular Mechanics

Peptide folding in non-aqueous environments investigated with molecular dynamics simulations Soto Becerra, Patricia

Molecular Dynamics, Monte Carlo and Docking. Lecture 21. Introduction to Bioinformatics MNW2

4 th Advanced in silico Drug Design KFC/ADD Molecular Modelling Intro. Karel Berka, Ph.D.

The wavefunction that describes a bonding pair of electrons:

Finite Ring Geometries and Role of Coupling in Molecular Dynamics and Chemistry

Electronic excitations in conjugated. Many-Body Green's Functions. Behnaz Bagheri Varnousfaderani. Behnaz Bagheri Varnousfaderani

OpenDiscovery: Automated Docking of Ligands to Proteins and Molecular Simulation

Chapter 6- An Introduction to Metabolism*

Molecular Simulation I

Chem 344 Final Exam Tuesday, Dec. 11, 2007, 3-?? PM

Solvation in the Cramer-Truhlar Groups

Outlines. Types of bonds: - Ionic - Covalent - Metallic - Secondary bonding. Examples: - relation between bond energy and properties.

Force Fields in Molecular Mechanics

16 years ago TODAY (9/11) at 8:46, the first tower was hit at 9:03, the second tower was hit. Lecture 2 (9/11/17)

Advanced Molecular Dynamics

Intermolecular Forces of Attraction

BIOB111 - Tutorial activities for session 8

TITLE Intermolecular forces and molecules. AUTHORS Ted Clark (The Ohio State University) Julia Chamberlain (University of Colorado Boulder)

Force Fields for Classical Molecular Dynamics simulations of Biomolecules. Emad Tajkhorshid

6.2 Polyatomic Molecules

Free energy simulations

Transcription:

Multiscale Materials Modeling Lecture 09 Quantum Mechanics/Molecular Mechanics (QM/MM) Techniques Fundamentals of Sustainable Technology These notes created by David Keffer, University of Tennessee, Knoxville, 2012.

Outline This QM/MM lecture is based upon the review article QM/MM: what have we learned, where are we, and where do we go from here? by Hai Lin and Donald G. Truhlar in Theoretical Chemistry Accounts 117(2) 2007 pp. 185-199. I. Introduction II. Types of QM/MM Techniques III. Example Applications IV. Conclusions Fundamentals of Sustainable Technology

Motivation Molecular Mechanics (MM): Models based on classical mechanical constructs such as molecular mechanical (MM) force fields that are based on empirical potentials describing small amplitude vibrations, torsions, van der Waals interactions, and electrostatic interactions have been widely used in molecular dynamics (MD) simulations of large and complex organic and biological systems as well as inorganic and solid state systems. However, the MM force fields are unable to describe the changes in the electronic structure of a system undergoing a chemical reaction. Quantum Mechanics (QM): Such changes in electronic structure in processes that involve bond breaking and bondforming, charge transfer, and/or electronic excitation, require quantum mechanics (QM) for a proper p treatment. However, due to the very demanding computational cost, the application of QM is still limited to relatively small systems consisting of up to tens or several hundreds of atoms, or even smaller systems when the highest h levels l of theory are employed. Fundamentals of Sustainable Technology Lin & Truhlar,Theoretical Chemistry Accounts 117(2) 2007.

QM/MM Definition A QM/MM method (see Fig. 1) treats a localized region, e.g., the active site and its neighbors in an enzyme (called the primary subsystem, PS), with QM methods and includes the influence of the surroundings (e.g., the protein environment, active center is treated t at the QM level land the surroundings is treated t at the MM level lcalled secondary subsystem, or SS) at the MM level.

QM/MM Definition The QM/MM energy for the entire system (ES) can be formally defined by E(QM/MM;ES) = E(QM;PS) + E(MM;SS) + E(QM/MM;PS SS) i.e., as a summation of the energy of the primary subsystem (PS), the energy for the secondary subsystem (SS), and the interaction energy between them. The relation between ES, PS, and SS is given by ES = SS + PS The PS is also called the QM subsystem and the SS is often called the MM subsystem. Interactions between within the PS are treated by standard QM techniques. Interactions between atoms within the Ss are treated by standard classical MM techniques. Iti is the interactions ti between one atom in the PS and one atom in the SSthat t require special consideration and are the heart of QM/MM techniques.

QM/MM Definition The QM/MM energy for the entire system (ES) can be formally defined by E(QM/MM;ES) = E(QM;PS) + E(MM;SS) + E(QM/MM;PS SS) i.e., as a summation of the energy of the primary subsystem (PS), the energy for the secondary subsystem (SS), and the interaction energy between them. The relation between ES, PS, and SS is given by ES = SS + PS The PS is also called the QM subsystem and the SS is often called the MM subsystem. Interactions between within the PS are treated by standard QM techniques. Interactions between atoms within the Ss are treated by standard classical MM techniques. Iti is the interactions ti between one atom in the PS and one atom in the SSthat t require special consideration and are the heart of QM/MM techniques.

QM/MM Potentials The coupling between the primary system (PS) and the secondary subsystem (SS) is the heart of a QM/MM method. The coupling, in general, must be capable of treating both bonded interactions (bond stretching, bond bending, and internal rotation, sometimes called valence forces) and non bonded interactions (electrostatic interaction and van der Waals interactions). Bonded Interactions appear when treating only part of a large molecule with QM techniques. Thus the molecule straddles the PS and SS. A chemical bond connects atoms in the PS and SS. Nonbonded interactions appear when examining a hydrated system in which the solute is treated with QM and some or all of the solvent is treated with MM.

QM/MM Types: Static vs Adaptive Static In a static QM/MM simulation, atoms do not switch from the PS to the SS (or vice versa) during the simulation. i An atom that begins in the PS remains in the PS for the entirety of the simulation. Similarly an atom that begins in the SS remains in the SS for the entirety of the simulation. Adaptive In an adaptive QM/MM simulation, atoms can switch from the PS to the SS (or vice versa) during the simulation. For example in a hydrated protein, a water molecule near the active site (in the PS) can exchange with a water molecule in the surrounding solvent (in the SS). A discussion of adaptive techniques (for QM/MM and for MM/Mesoscale simulations) is the subject of a subsequent lecture.

QM/MM: Mechanical vs Electrostatic Embedding Of the non bonded interactions, frequently the electrostatic interaction is the most important. Based on how the electrostatics is handled, we can divide QM/MM techniques into two groups. Mechanical Embedding (ME): A mechanical embedding (ME) scheme performs QM computations for the PS in the absence of the SS, and treats the interactions between the PS and SS at the MM level. These interactions usually include both bonded (stretching, bending, and torsional) interactions and non bonded (electrostatic and van der Waals) interactions. Electrostatic Embedding (EE): In an electrostatic embedding (EE) scheme, the QM computation for the PS is carried out in the presence of the SS by including terms that describe the electrostatic interaction between the PS and SS as one electron operators that enter the QM Hamiltonian. Because most popular MM force fields, like CHARMM or OPLS AA have developed extensive sets of atomic centered partial point charges for calculating electrostatic interactions at the MM level, it is usually convenient to represent the SS atoms by atomic centered centered partial point charges in the effective QM Hamiltonian. The bonded (stretching, bending, and torsional) interactions and non bonded van der Waals interactions between the PS and SS are retained at the MM level.

QM/MM: Mechanical vs Electrostatic Embedding

QM/MM: Mechanical vs Electrostatic Embedding Mechanical Embedding Disadvantages: First, the treatment requires an accurate set of MMparameterssuch such asatom atom centered point charges for both the PS and SS. It is relatively easier to get such parameters for the SS, and the problem with getting such parameters for the PS, where reactions are taking place, was the central reason for moving from MM to QM in the first place. Since the charge distribution in the PS usually changes as reaction progresses, the error in using a single set of MM parameters could be very serious. The second drawback of an ME scheme is that it ignores the potential perturbation of the electronic structure of the PS due to the electrostatic interaction between the PS and SS. The atom centered charges in the SS polarize the PS and alter its charge distribution. This is especially a problem if the reaction in the PS is accompanied by charge transfer.

QM/MM: Mechanical vs Electrostatic Embedding Electrostatic Embedding Disadvantages: The unsolved issue for EE schemes is how to construct the one electron electron terms in the effective QM Hamiltonian. As mentioned earlier, the simplest way is to represent the charge distribution of the SS as a background of atom centered partial charges. This is further facilitated by the availability of a set of pre parameterized MM point charges in many MM force fields; these MM point charges have in principle been parameterized consistently with the other MM parameters to give accurate MM energies, and they have been validated by extensive test calculations. The use of these MM atom centered partial charges is very efficient, and it is the most popular way in constructing the effective QM Hamiltonian. Nevertheless, the question is raised: are charge parameterized for a particular MM context also appropriate for use in a QM Hamiltonian? Such charges may not be appropriate for the construction of the one electron terms in the effective QM Hamiltonian. Also, in most EE implementations, the PS is polarized by the SS, but the SS is not polarized by the PS.

QM/MM: Boundary Treatment Boundary Treatment When molecules straddle the PS and SS domains, chemical bonds connect atoms in the PS and SS domains. One needs special treatment for the dangling bonds in the QM description. There are two categories of boundary treatments. Link Atom Approach: The first is the so called link atom approach, where a link atom is used to saturate the dangling bond at the frontier atom of the PS. This link atom is usually taken to be a hydrogen atom or a parameterized atom, which involve a parameterized semi empirical empirical Hamiltonian or a parameterized effective core potential (ECP) adjusted to mimic the properties of the original bond being cut. Localized Orbital Approach: The second class o f methods use localized l orbitalsat the boundary between the PS and SS. An example is the so called local self consistent field (LSCF) algorithm, where the bonds connecting the PS and SS are represented by a set of strictly localized bond orbitals (SLBOs) that are determined by calculations on small model compounds and assumed to be transferable.

QM/MM: Link Atom Approach In this sample example, the CF 3 is the SS and the CH 2 OH is the PS. (Of course this molecule is small enough to be treated fully QM, but it is used to illustrate a point.) A H atom is added to cap the PS system. This H atom is too close to the C in the SS. Charge must be redistributed to account for this artificially imposed atom.

QM/MM: Validation The way that QM/MM approaches are validated is typically by comparing full QM treatments with QM/MM treatments on smaller systems. Difficult because gas phase systems have different charge distributions that solvated systems. It is found that the schemes that preserve both the net charge of the SS and the M1 M2 bond dipoles, are superior to the other schemes in comparison with fully QM treatment.

QM/MM: Implementation Implementation and Software As summarized in a recent review article, there are basically three kinds of programming architecture for implementing QM/MM methods. 1. Extension of a traditional QM package by incorporating the MM environment as a perturbation. Many QM packages are have added or are adding the QM/MM options. A well known example is the ONIOM method implemented in Gaussian03. 2. Extension of a traditional MM package by incorporating a QM code as a forcefield extension. Examples include AMBER. 3. A central control program interfacing QM and MM packages, where users can select between several QM and/or MM packages. For example, CHEMSHELL and QMMM belong to this catalog.

QM/MM: What do We Learn from QM/MM? One benefit that QM/MM calculations bring to us is the inclusion of the effect of a chemical environment (secondary subsystem, SS) on the reaction center (primary subsystem, PS). A practical way to examine the effect of the environment is to compare quantities such as reaction energies or barrier heights as calculated from an isolated QM model and from a QM/MM model.

QM/MM: Example Evaluate partial charges for several cases CPS = capped PS only, no MM CPSdis = capped PS in geometry distorted by MM, no charges CPS** = full QM/MM Full QM QM/MMis closest to fullqmand thus best.

QM/MM: Conclusions QM/MM calculations allow the inclusion of the effect of a chemical environment (secondary subsystem, SS) on the reaction center (primary subsystem, PS) with computational efficiency. As with any coarse graining technique, the approaches are approximate and must be validated. QM/MM is sufficiently established that commercial programs like Gaussian allow one to include the effects of the SS on the QM calculation. QM/MM is still an active area of research for improved techniques.