Computational Chemistry Molecular Mechanics/Dynamics F = Ma Quantum Chemistry Schr Ö dinger Equation H  = E 

Slides:



Advertisements
Similar presentations
Simulazione di Biomolecole: metodi e applicazioni giorgio colombo
Advertisements

Evaluating Free Energies of Binding using Amber: The MM-PBSA Approach.
Review Of Statistical Mechanics
Transfer FAS UAS SAINT-PETERSBURG STATE UNIVERSITY COMPUTATIONAL PHYSICS Introduction Physical basis Molecular dynamics Temperature and thermostat Numerical.
A Digital Laboratory “In the real world, this could eventually mean that most chemical experiments are conducted inside the silicon of chips instead of.
Survey of Molecular Dynamics Simulations By Will Welch For Jan Kubelka CHEM 4560/5560 Fall, 2014 University of Wyoming.
Chemistry 6440 / 7440 Molecular Mechanics. Resources Grant and Richards, Chapter 3 Leach, Chapter 3 Jensen, Chapter 2 Cramer, Chapter 2 Burkert and Allinger,
Solvation Models. Many reactions take place in solution Short-range effects Typically concentrated in the first solvation sphere Examples: H-bonds,
Molecular Modeling: Molecular Mechanics C372 Introduction to Cheminformatics II Kelsey Forsythe.
Molecular Mechanics Force Fields Basic Premise If we want to study a protein, piece of DNA, biological membranes, polysaccharide, crystal lattice, nanomaterials,
Ion Solvation Thermodynamics from Simulation with a Polarizable Force Field Gaurav Chopra 07 February 2005 CS 379 A Alan GrossfeildPengyu Ren Jay W. Ponder.
The Role of Entropy in Biomolecular Modelling Three Examples 1.Force Field Development How to parametrise non-bonded interaction terms? Include Entropy.
Chemistry 6440 / 7440 QM / MM Calculations. Resources Cramer, C. J.; Essentials of Computational Chemistry; Wiley: Chichester, 2002, Chapter 13. Froese,
Molecular Dynamics, Monte Carlo and Docking Lecture 21 Introduction to Bioinformatics MNW2.
Molecular Dynamics Simulation (a brief introduction)
The Calculation of Enthalpy and Entropy Differences??? (Housekeeping Details for the Calculation of Free Energy Differences) first edition: p
Molecular Modeling of Crystal Structures molecules surfaces crystals.
Molecular Simulation. Molecular Simluation Introduction: Introduction: Prerequisition: Prerequisition: A powerful computer, fast graphics card, A powerful.
Electron transfer through proteins Myeong Lee (02/20/2006)
Computational Modeling of Macromolecular Systems Dr. GuanHua CHEN Department of Chemistry University of Hong Kong.
Computer Modeling Dr. GuanHua CHEN Department of Chemistry University of Hong Kong
1 Molecular Simulation 黃鎮剛 交通大學 生物科技系及生物資訊所. 2 Empirical Force Field
The Geometry of Biomolecular Solvation 1. Hydrophobicity Patrice Koehl Computer Science and Genome Center
Bioinf. Data Analysis & Tools Molecular Simulations & Sampling Techniques117 Jan 2006 Bioinformatics Data Analysis & Tools Molecular simulations & sampling.
Molecular Modeling Part I Molecular Mechanics and Conformational Analysis ORG I Lab William Kelly.
RNA Folding Simulation by Giff Ransom RNA Folding Simulation.
Introduction. What is Computational Chemistry?  Use of computer to help solving chemical problems Chemical Problems Computer Programs Physical.
Molecular Modeling Fundamentals: Modus in Silico C372 Introduction to Cheminformatics II Kelsey Forsythe.
Advanced methods of molecular dynamics Monte Carlo methods
Algorithms and Software for Large-Scale Simulation of Reactive Systems _______________________________ Ananth Grama Coordinated Systems Lab Purdue University.
Chemical Thermodynamics Chapter Gibbs Free Energy and a Bit More About Entropy.
02/03/10 CSCE 769 Dihedral Angles Homayoun Valafar Department of Computer Science and Engineering, USC.
Chem 1140; Molecular Modeling Molecular Mechanics Semiempirical QM Modeling CaCHE.
CZ5225 Methods in Computational Biology Lecture 4-5: Protein Structure and Structural Modeling Prof. Chen Yu Zong Tel:
1.Solvation Models and 2. Combined QM / MM Methods See review article on Solvation by Cramer and Truhlar: Chem. Rev. 99, (1999)
BL5203 Molecular Recognition & Interaction Section D: Molecular Modeling. Chen Yu Zong Department of Computational Science National University of Singapore.
Water layer Protein Layer Copper center: QM Layer Computing Redox Potentials of Type-1 Copper Sites Using Combined Quantum Mechanical/Molecular Mechanical.
8. Selected Applications. Applications of Monte Carlo Method Structural and thermodynamic properties of matter [gas, liquid, solid, polymers, (bio)-macro-
Potential energy surface, Force field & Molecular Mechanics 3N (or 3N-6 or 3N-5) Dimension PES for N-atom system x E’ =  k i (l i  l 0,i ) +  k i ’
Understanding Molecular Simulations Introduction
Molecular Dynamics simulations
Common Potential Energy Functions of Separation Distance The Potential Energy function describes the energy of a particular state. When given as a function.
Molecular simulation methods Ab-initio methods (Few approximations but slow) DFT CPMD Electron and nuclei treated explicitly. Classical atomistic methods.
Molecular Mechanics Studies involving covalent interactions (enzyme reaction): quantum mechanics; extremely slow Studies involving noncovalent interactions.
Computational Chemistry Molecular Mechanics/Dynamics F = Ma Quantum Chemistry Schr Ö dinger Equation H  = E 
Covalent interactions non-covalent interactions + = structural stability of (bio)polymers in the operative molecular environment 1 Energy, entropy and.
Molecular Simulation of Reactive Systems. _______________________________ Sagar Pandit, Hasan Aktulga, Ananth Grama Coordinated Systems Lab Purdue University.
Advanced methods of molecular dynamics 1.Monte Carlo methods 2.Free energy calculations 3.Ab initio molecular dynamics 4.Quantum molecular dynamics 5.Trajectory.
Computer Modeling Dr. GuanHua CHEN Department of Chemistry University of Hong Kong
Algorithms and Software for Large-Scale Simulation of Reactive Systems _______________________________ Metin Aktulga, Sagar Pandit, Alejandro Strachan,
MODELING MATTER AT NANOSCALES 3. Empirical classical PES and typical procedures of optimization Classical potentials.
NCN nanoHUB.org Wagner The basics of quantum Monte Carlo Lucas K. Wagner Computational Nanosciences Group University of California, Berkeley In collaboration.
Lecture 5 Barometric formula and the Boltzmann equation (continued) Notions on Entropy and Free Energy Intermolecular interactions: Electrostatics.
1 CE 530 Molecular Simulation Lecture 14 Molecular Models David A. Kofke Department of Chemical Engineering SUNY Buffalo
Quantum Mechanics/ Molecular Mechanics (QM/MM) Todd J. Martinez.
Role of Theory Model and understand catalytic processes at the electronic/atomistic level. This involves proposing atomic structures, suggesting reaction.
Review Session BS123A/MB223 UC-Irvine Ray Luo, MBB, BS.
Developing a Force Field Molecular Mechanics. Experimental One Dimensional PES Quantum mechanics tells us that vibrational energy levels are quantized,
Molecular Mechanics (Molecular Force Fields). Each atom moves by Newton’s 2 nd Law: F = ma E = … x Y Principles of M olecular Dynamics (MD): F =
Molecular dynamics (MD) simulations  A deterministic method based on the solution of Newton’s equation of motion F i = m i a i for the ith particle; the.
Lecture 7: Molecular Mechanics: Empirical Force Field Model Nanjie Deng Structural Bioinformatics II.
BUILDING STRUCTURES, OPTIMIZATION, ADSORPTION LOCATOR TUTORIAL Day 3
Overview of Molecular Dynamics Simulation Theory
Chapter 2 Molecular Mechanics
8/7/2018 Statistical Thermodynamics
Introduction to Molecular Simulation
Algorithms and Software for Large-Scale Simulation of Reactive Systems
Molecular simulation methods
Algorithms and Software for Large-Scale Simulation of Reactive Systems
Wang and Truhlar – NSF research, Feb. 2011
Presentation transcript:

Computational Chemistry Molecular Mechanics/Dynamics F = Ma Quantum Chemistry Schr Ö dinger Equation H  = E 

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

Bond Stretching Potential E b = 1/2 k b (  l) 2 where, k b : stretch force constant  l : difference between equilibrium & actual bond length Two-body interaction

Bond Angle Deformation Potential E a = 1/2 k a (  ) 2 where, k a : angle force constant   : difference between equilibrium & actual bond angle  Three-body interaction

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

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

MM Force Field Types MM2Small molecules AMBERPolymers CHAMMPolymers BIOPolymers OPLSSolvent Effects

CHAMM FORCE FIELD FILE

/A o /(kcal/mol)

/(kcal/mol/A o2 ) /Ao/Ao

/(kcal/mol/rad 2 ) /deg

/(kcal/mol)/deg

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) (s 1 +2s 2 +2s 3 +s 4 )  t +O(  t 5 ) s 1 = dx/dt s 2 = dx/dt [w/ t=t+  t/2, x = x(t)+s 1  t/2] s 3 = dx/dt [w/ t=t+  t/2, x = x(t)+s 2  t/2] s 4 = dx/dt [w/ t=t+  t, x = x(t)+s 3  t] Very accurate but slow!

Algorithms for Molecular Dynamics Verlet Algorithm: x(t+  t) = x(t) + (dx/dt)  t + (1/2) d 2 x/dt 2  t x(t -  t) = x(t) - (dx/dt)  t + (1/2) d 2 x/dt 2  t x(t+  t) = 2x(t) - x(t -  t) + d 2 x/dt 2  t 2 + O(  t 4 ) Efficient & Commonly Used!

General QM/MM scheme QM MM Combined QM/MM method 1.QM is used to describe the site where reactions occur, including those atoms make important and direct interactions to atoms undergoing valence change in the reactions process. 2.MM is used to describe the rest of the system. Presumably atoms in these regions contribute to the reaction moieties through a static and classical electrostatic fashion. Hao Hu, HKU

A simple approach: ONIOM method Our owN n-layered Integrated molecular Orbital + molecular mechanics Method += Mechanical embedding model Hao Hu, HKU

Electrostatic embedding model QM MM When MM atoms are represented as point charges The forces on MM atoms Hao Hu, HKU

Dirty details: QM/MM boundary Dangling bond Linked hydrogen Local orbital Pseudo atom Hao Hu, HKU

Monte Carlo Metropolis sampling v v’ v’’ Hao Hu, HKU

Free energy, enthalpy, & Entropy Partition function of canonical ensemble In classical mechanics, potential energy is independent to kinetic energy C(N) is a constant for the same N Hao Hu, HKU

Free energy (Helmholtz) Internal energy Entropy <>: Ensemble average Hao Hu, HKU Free energy, enthalpy, & Entropy

Difficulty for absolute Free energy simulation Absolute free energy requires converged integration on 3N dimensions No experimental absolute free energies available Relative free energies are what really matters kBTkBT Hao Hu, HKU

Free energy perturbation Free energy difference between two states State 1; energy E1State 2; energy E2 Hao Hu, HKU

Free energy perturbation Zwanzig, R. W., J. Chem. Phys. 1954, 22: Free energy difference between two states Hao Hu, HKU

Free energy perturbation More details for the solvation free energy case State 1; energy E1State 2; energy E2 Hao Hu, HKU

Complex system Hao Hu, HKU