Computers in Chemistry Dr John Mitchell University of St Andrews.

Slides:



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

Introduction to Computational Chemistry NSF Computational Nanotechnology and Molecular Engineering Pan-American Advanced Studies Institutes (PASI) Workshop.
Computers in Chemistry Dr John Mitchell & Rosanna Alderson University of St Andrews.
What is Biophysics? Short answer: Application of physics methods to biological systems. To get a better perspective, we consider a very brief history of.
In silico calculation of aqueous solubility Dr John Mitchell University of St Andrews.
Matter: Properties & Change
Introduction to Molecular Orbitals
Computational Chemistry
© 2014 Carl Lund, all rights reserved A First Course on Kinetics and Reaction Engineering Class 3.
Computers in Chemistry Dr John Mitchell University of St Andrews.
Quantum Mechanics Discussion. Quantum Mechanics: The Schrödinger Equation (time independent)! Hψ = Eψ A differential (operator) eigenvalue equation H.
Case Studies Class 5. Computational Chemistry Structure of molecules and their reactivities Two major areas –molecular mechanics –electronic structure.
A Brief Description of the Crystallographic Experiment
Potential Energy Surfaces
CHEMISTRY 2000 Topic #1: Bonding – What Holds Atoms Together? Spring 2008 Dr. Susan Lait.
Multidisciplinary Research Program of the University Research Initiative (MURI) Accurate Theoretical Predictions of the Properties of Energetic Materials.
Chemoinformatics P. Baldi, J. Chen, and S. J. Swamidass School of Information and Computer Sciences Institute for Genomics and Bioinformatics University.
Foundations of Physics
Solubility is an important issue in drug discovery and a major source of attrition This is expensive for the pharma industry A good model for predicting.
Computational Chemistry. Overview What is Computational Chemistry? How does it work? Why is it useful? What are its limits? Types of Computational Chemistry.
An Introduction to Molecular Orbital Theory. Levels of Calculation Classical (Molecular) Mechanics quick, simple; accuracy depends on parameterization;
Calculation of Molecular Structures and Properties Molecular structures and molecular properties by quantum chemical methods Dr. Vasile Chiş Biomedical.
Computational Chemistry
Molecular Modeling: The Computer is the Lab
Prentice Hall © 2003Chapter 1 Chapter 1 Introduction: Matter & Measurement CHEMISTRY The Central Science 9th Edition David P. White.
STATE of MATTER Dr. Nermeen Adel. SOLID, LIQUID and GAS are the most common states of matter on Earth.
Molecular Modeling Fundamentals: Modus in Silico C372 Introduction to Cheminformatics II Kelsey Forsythe.
By: Lea Versoza. Chemistry  A branch of physical science, is the study of the composition, properties and behavior of matter.  Is concerned with atoms.
Solid State Physics Bands & Bonds. PROBABILITY DENSITY The probability density P(x,t) is information that tells us something about the likelihood of.
Computational Biology BS123A/MB223 UC-Irvine Ray Luo, MBB, BS.
PVT Behavior of Fluids and the Theorem of Corresponding States
Physical Science An introduction.
Limits and Horizon of Computing Post silicon computing.
Minimization v.s. Dyanmics A dynamics calculation alters the atomic positions in a step-wise fashion, analogous to energy minimization. However, the steps.
Quantum Chemical and Machine Learning Calculations of the Intrinsic Aqueous Solubility of Druglike Molecules Dr John Mitchell University of St Andrews.
Úvod do tímového projektu Peter Ballo Katedra fyziky Fakulta elektrotechniky a informatiky.
مدرس المادة الدكتور :…………………………
Protein Folding and Modeling Carol K. Hall Chemical and Biomolecular Engineering North Carolina State University.
The Nuts and Bolts of First-Principles Simulation Durham, 6th-13th December : Computational Materials Science: an Overview CASTEP Developers’ Group.
ELECTRONIC STRUCTURE OF MATERIALS From reality to simulation and back A roundtrip ticket.
Chemical Equilbrium Chemistry in Two Directions 1.
In silico calculation of aqueous solubility Dr John Mitchell Unilever Centre for Molecular Science Informatics Department of Chemistry University of Cambridge,
Chemistry 700 Lectures. Resources Grant and Richards, Foresman and Frisch, Exploring Chemistry with Electronic Structure Methods (Gaussian Inc., 1996)
Javier Junquera Introduction to atomistic simulation methods in condensed matter Alberto García Pablo Ordejón.
Experimental Measurements of Collisional Cross Sections and Rates at Astrophysical and Quantum Collisional Temperatures Frank C. De Lucia Department of.
12 Thermodynamics 12.1 Types of Enthalpy Change 12.2 Born-Haber Cycles 12.3 Enthalpy Changes – Enthalpy of Solution 12.4 Mean Bond Enthalpy 12.5 Entropy.
Role of Theory Model and understand catalytic processes at the electronic/atomistic level. This involves proposing atomic structures, suggesting reaction.
Generalized van der Waals Partition Function
Monatomic Crystals.
BMC Bioinformatics 2005, 6(Suppl 4):S3 Protein Structure Prediction not a trivial matter Strict relation between protein function and structure Gap between.
X-Ray Diffraction Spring 2011.
Theory of dilute electrolyte solutions and ionized gases
Advanced methods of molecular dynamics 1.Monte Carlo methods 2.Free energy calculations 3.Ab initio molecular dynamics 4.Quantum molecular dynamics 5.Trajectory.
Physical Behavior of Matter Review. Matter is classified as a substance or a mixture of substances.
Computational Physics (Lecture 11) PHY4061. Variation quantum Monte Carlo the approximate solution of the Hamiltonian Time Independent many-body Schrodinger’s.
Computational Chemistry Trygve Helgaker CTCC, Department of Chemistry, University of Oslo.
Comp. Mat. Science School Electrons in Materials Density Functional Theory Richard M. Martin Electron density in La 2 CuO 4 - difference from sum.
BASIC CONCEPTS OF CHEMISTRY. WHAT IS THE GOAL OF SCIENCE?
Topic 3: Thermal physics 3.1 – Thermal concepts
Physical Behavior of Matter Review
Computer usage Notur 2007.
Computational Chemistry:
Computational Chemistry
APPLICATIONS OF BIOINFORMATICS IN DRUG DISCOVERY
Limits and Horizon of Computing
Electronic Structure and First Principles Theory
Hot Cold Molecules: Collisions at Astrophysical Temperatures
Chemistry: The Central Science
Humanity v The Machines
Presentation transcript:

Computers in Chemistry Dr John Mitchell University of St Andrews

1. Why? Working with experiment to test our theories. Computer uses theory to calculate an answer that can be compared with experiment. If prediction and experiment don’t agree, something has to give.

To Test Our Theories The theory that lies beneath chemistry is ultimately quantum physics. Turning this into a prediction of the rate of a chemical reaction or frequency of a transition in an IR spectrum needs lots of computation. Example: Quantum chemistry predicts that atoms in molecules are not spherical.

Atoms in molecules are not spherical

To Make Testable Predictions Computation’s ability to make accurate predictions of experimental measurements is a good test of the validity of a theory. We only understand if we can predict.

Crystal Structure Prediction Given the structural diagram of an organic molecule, predict the 3D crystal structure.

Calculate Energy of Infinite Crystal Calculate molecular energies and interactions Allow unit cell to change Optimise size, shape, packing Find energy of infinite lattice Find lattice with best energy Predicted crystal structure

To Analyse Experimental Results Modern experimental techniques (NMR, mass-spec, X-ray crystallography etc.) are complex and work best if analysis of the results is done by computer. This both speeds up the process and lessens the risk of human bias in analysis of data.

Looking at Molecules – Experimental Analysis “the measurement of radiation intensity as a function of wavelength” Gives an indication to synthesis success and overall structure. “the science that examines the arrangement of atoms in solids” Gives a 3D structure – Allows conformation of molecular arrangement & indicates interaction within a crystal. Spectroscopic Data AnalysisX-Ray Crystallography

To Access Data that Experiment can’t Computational chemistry provide means to obtain data very difficult, expensive or time- consuming to get experimentally. Behaviour at high temperature or pressure. Structure of liquids at atomic scale. Dynamics of proteins.

Phase Changes of Iron in the Earth’s Core et al.,

Structure of Liquid Water and Water Clusters Computer simulations are an important source of evidence, since atomic scale details of the irregular liquid structure are hard to obtain by experiment.

2. The Power to Compute

Development of Computer Power University of Manchester SSEM, 1948

Development of Computer Power IBM Roadrunner, 2008

Computer Power: Moore’s Law Computer power doubles every two years: exponential growth

Computer Power: Moore’s Law Logarithmic scale

Computer Power: Moore’s Law This growth will, eventually, slow down as components reach atomic scale … we think!

The Size of the Problem

Scaling of the Expense of Computation Typical scaling is ~N 4, as fourth power of molecular size. For the foreseeable future, there will be chemical problems at the limit of our computing capacity.

3. Philosophies of Computational Chemistry

“The problem is difficult, but by making suitable approximations we can solve it at reasonable cost based on our understanding of physics and chemistry.” A: Philosophy of Theoretical Chemistry

Theoretical Chemistry Calculations and simulations based on real physics. Calculations are either quantum mechanical or use numbers derived from quantum mechanics. Attempt to model or simulate reality. Usually Low Throughput.

What Kinds of Theoretical Chemistry can be Done? Prof. Eitan Geva (1) Quantum Chemistry

What Kinds of Theoretical Chemistry can be Done? (1) Quantum Chemistry Using quantum mechanics to solve the structures and energetics of molecules; everything depends on the distribution of electrons.

1926 – Erwin Schrödinger proposed the Schrödinger equation The time independent Schrödinger equation; Hamiltonian – an operator Energy Wavefunction What Kinds of Theoretical Chemistry can be Done? (1) Quantum Chemistry

E The Hamiltonian Mathematical operator embodying the underlying physics -Kinetic energy of electrons -Attraction between electrons and nuclei of atoms -Repulsion between electrons The Wavefunction Describes the distribution of electrons in space that gives the lowest energy -A function of all electron positions within the molecule -The square of the wavefunction gives the electron density -Any molecular property can be calculated from the wavefunction The Energy -There is always one energy associated with each wavefunction Although quantum chemistry involves solving Schrödinger’s equation, it is not fully exact. There are some approximations involved.

What Kinds of Theoretical Chemistry can be Done? (1) Quantum Chemistry There are two main kinds of quantum chemistry: Ab initio Density Functional Theory

What Kinds of Theoretical Chemistry can be Done? (1) Quantum Chemistry Ab initio “from first principles”. Solve Schrödinger equation to get wavefunction. In principle rigorous – we know what we calculate. But the standard “Hartree-Fock” method contains significant approximations. Expensive to adjust for these and get more accuracy.

What Kinds of Theoretical Chemistry can be Done? (1) Quantum Chemistry Density Functional Theory Makes use of the theorem that all properties of interest can be determined directly from the electron density. True in principle, but the correct “functional” is unknown. Less rigorous than ab initio, but usually more accurate for an equivalent cost (or cheaper for similar accuracy).

What Kinds of Theoretical Chemistry can be Done? (2) Molecular Simulation

What Kinds of Theoretical Chemistry can be Done? (2) Molecular Simulation There are various techniques for simulating molecules, the most significant is probably Molecular Dynamics. Molecular Dynamics makes a “balls-and- springs” model of the molecule in the computer, and follows its behaviour over time.

What Kinds of Theoretical Chemistry can be Done? (2) Molecular Simulation Light-harvesting protein subunit.

What Kinds of Theoretical Chemistry can be Done? (2) Molecular Simulation Time steps need to be very, very short (simulating ~ seconds of time), so it takes a million steps to simulate one nanosecond of real time and a billion steps to simulate a microsecond. So it is hard to directly simulate relatively slow or rare events, such as protein folding.

What Kinds of Theoretical Chemistry can be Done? (2) Molecular Simulation Also, a balls-and-springs model lacks the quantum mechanics needed to simulate a chemical reaction. Nonetheless, molecular dynamics is very important for understanding shape changes, interactions and energetics of large molecules.

B: Philosophy of Informatics “The problem is too difficult to solve at reasonable cost based on real physics and chemistry, so instead we will build a purely empirical model to predict the required molecular properties from chemical structure, using the available data.”

Informatics In general, informatics methods represent phenomena mathematically, but not in a physics-based way. Inputs and output model are based on an empirically parameterised equation or more elaborate mathematical model. Do not attempt to simulate reality. Usually High Throughput.

Informatics Bioinformatics = Informatics applied to biology (genes and proteins). Cheminformatics or chemoinformatics = informatics applied to chemistry; cheminformatics techniques are often used in drug discovery and pharmaceutical research. Medical informatics = application of informatics to medicine or medical data.

Modelling in Chemistry LOW THROUGHPUT HIGH THROUGHPUT

Modelling in Chemistry LOW THROUGHPUT HIGH THROUGHPUT Theoretical Chemistry

Modelling in Chemistry LOW THROUGHPUT HIGH THROUGHPUT

Modelling in Chemistry LOW THROUGHPUT HIGH THROUGHPUT Informatics

4. How Best to Compute Solubility?

Which would you Prefer... or ?

Which would you Prefer... Solubility in water (and other biological fluids) is highly desirable for pharmaceuticals! or ?

Solubility is an important issue in drug discovery and a major cause of failure of drug development projects Expensive for the pharma industry Patients suffer lack of available treatments A good computational model for predicting the solubility of druglike molecules would be very valuable.

Our Methods … (A) Thermodynamic Cycle (Theoretical chemistry)

Drug Disc.Today, 10 (4), 289 (2005)

We can use theoretical chemistry to calculate solubility via a thermodynamic cycle 49 ΔG hyd ΔG solu Crystalline Gaseous Solution ΔG sub Sub = sublimation Hyd = hydration Solu = solution

We can use theoretical chemistry to calculate solubility via a thermodynamic cycle 50 ΔG hyd ΔG solu Crystalline Gaseous Solution ΔG sub Sub = sublimation Hyd = hydration Solu = solution

Calculate Energy of Infinite Crystal Take one molecule Solve its Schrödinger equation Calculate its interactions Allow unit cell to change Find best size, shape, packing Find energy of infinite lattice This is the same methodology as used in crystal structure prediction.

We can use theoretical chemistry to calculate solubility via a thermodynamic cycle 52 ΔG hyd ΔG solu Crystalline Gaseous Solution ΔG sub Sub = sublimation Hyd = hydration Solu = solution

Model of Solvent-Solute Interaction Calculate energy of interaction between solute and solvent Model is called RISM

We can use theoretical chemistry to calculate solubility via a thermodynamic cycle 54 ΔG hyd ΔG solu Crystalline Gaseous Solution ΔG sub Sub = sublimation Hyd = hydration Solu = solution

Our Methods … (B) Random Forest (informatics)

A decision tree is like a flow chart Random Forest

This is a decision tree. We use lots of them to make a forest! A Machine Learning Method

Looks soluble to me! Random Forest Looks sort of soluble… As soluble as can be! I guess it’s insoluble This guy is soluble! Soluble? No way! I know it’s soluble

Fits into drug discovery pipeline here Could take 15 years and $1 billion!

Application to Proteins Funnel-shaped energy landscape

Protein Folding

114

115

116

Why Pursue Theory? Theory promises to give a greater understanding of why some molecules are more soluble than others, or why proteins fold into their shapes. Advances in theory can be transferable to other contexts. Theoretical models can be systematically improved.