Potential Energy (hyper)surface

Similar documents
The Molecular Dynamics Method

The Molecular Dynamics Method

The Molecular Dynamics Method

The Molecular Dynamics Simulation Process

Principles and Applications of Molecular Dynamics Simulations with NAMD

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

The Computational Microscope

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

Figure 1. Molecules geometries of 5021 and Each neutral group in CHARMM topology was grouped in dash circle.

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

Molecular Mechanics. I. Quantum mechanical treatment of molecular systems

Force Fields for MD simulations

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

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

Lecture 11: Potential Energy Functions

Why study protein dynamics?

Folding WT villin in silico Three folding simulations reach native state within 5-8 µs

Bioengineering 215. An Introduction to Molecular Dynamics for Biomolecules

Don t forget to bring your MD tutorial. Potential Energy (hyper)surface

Molecular dynamics simulation of Aquaporin-1. 4 nm

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

HOMOLOGY MODELING. The sequence alignment and template structure are then used to produce a structural model of the target.

An introduction to Molecular Dynamics. EMBO, June 2016

Protein Structure Analysis

Applications of Molecular Dynamics

Computational Structural Biology and Molecular Simulation. Introduction to VMD Molecular Visualization and Analysis

Structural Bioinformatics (C3210) Molecular Mechanics

Molecular Dynamics Simulations. Dr. Noelia Faginas Lago Dipartimento di Chimica,Biologia e Biotecnologie Università di Perugia

Molecular Mechanics, Dynamics & Docking

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

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

Molecular Simulation III

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

Molecular Dynamics Simulation of a Nanoconfined Water Film

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

Polypeptide Folding Using Monte Carlo Sampling, Concerted Rotation, and Continuum Solvation

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

Hands-on Course in Computational Structural Biology and Molecular Simulation BIOP590C/MCB590C. Course Details

Dominant Paths in Protein Folding

Molecular Mechanics. Yohann Moreau. November 26, 2015

Atomistic Modeling of DNA and Protein Structures

Biochemistry Prof. S. DasGupta Department of Chemistry Indian Institute of Technology Kharagpur. Lecture - 06 Protein Structure IV

TOPOLOGIES AND FORCE FIELD PARAMETERS FOR NITROXIDE SPIN LABELS

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

Computational Biology & Computational Medicine

Hyeyoung Shin a, Tod A. Pascal ab, William A. Goddard III abc*, and Hyungjun Kim a* Korea

Computational Modeling of Protein Dynamics. Yinghao Wu Department of Systems and Computational Biology Albert Einstein College of Medicine Fall 2014

Protein Dynamics. The space-filling structures of myoglobin and hemoglobin show that there are no pathways for O 2 to reach the heme iron.

Problem Set 1

Computational Studies of the Photoreceptor Rhodopsin. Scott E. Feller Wabash College

Secondary Structure. Bioch/BIMS 503 Lecture 2. Structure and Function of Proteins. Further Reading. Φ, Ψ angles alone determine protein structure

Introduction to Classical Molecular Dynamics. Giovanni Chillemi HPC department, CINECA

Routine access to millisecond timescale events with accelerated molecular dynamics

Biomolecules: lecture 10

What can be learnt from MD

Supporting Information

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

Biomolecular modeling I

The Force Field Toolkit (fftk)

Protein sidechain conformer prediction: a test of the energy function Robert J Petrella 1, Themis Lazaridis 1 and Martin Karplus 1,2

Hands-on : Model Potential Molecular Dynamics

Protein Structure Analysis

Our Microscope is Made of...

NMR, X-ray Diffraction, Protein Structure, and RasMol

Solutions and Non-Covalent Binding Forces

Improving Protein Function Prediction with Molecular Dynamics Simulations. Dariya Glazer Russ Altman

Our Microscope is Made of...

Introduction to Comparative Protein Modeling. Chapter 4 Part I

A generalized Born formalism for heterogeneous dielectric environments: Application to the implicit modeling of biological membranes

BIOC : Homework 1 Due 10/10

I690/B680 Structural Bioinformatics Spring Protein Structure Determination by NMR Spectroscopy

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

Multiscale Materials Modeling

Conformational Geometry of Peptides and Proteins:

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

MULTIDOCK V1.0. Richard M. Jackson Biomolecular Modelling Laboratory Imperial Cancer Research Fund 44 Lincoln s Inn Fields London WC2A 3PX

Secondary and sidechain structures

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

2008 Biowerkzeug Ltd.

Molecular Dynamics Simulation of HIV-1 Reverse. Transcriptase

RESEARCH ARTICLES. Effective Energy Function for Proteins in Solution

Biomolecules are dynamic no single structure is a perfect model

Unfolding CspB by means of biased molecular dynamics

Energy functions and their relationship to molecular conformation. CS/CME/BioE/Biophys/BMI 279 Oct. 3 and 5, 2017 Ron Dror

Enhancing Specificity in the Janus Kinases: A Study on the Thienopyridine. JAK2 Selective Mechanism Combined Molecular Dynamics Simulation

CHEM 498Q / CHEM 630Q: Molecular Modeling of Proteins TUTORIAL #3a: Empirical force fields

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

Protein Folding & Stability. Lecture 11: Margaret A. Daugherty. Fall How do we go from an unfolded polypeptide chain to a

Supplementary Information

Energy functions and their relationship to molecular conformation. CS/CME/BioE/Biophys/BMI 279 Oct. 3 and 5, 2017 Ron Dror

6.#Molecular#Mechanics#and# Molecular#Dynamics#Simula5on# MOLECULAR)MECHANICS) Determinant#of#Structure#(or#Lack#of#It)# Water#

MARTINI simulation details

University of Groningen. Characterization of oil/water interfaces van Buuren, Aldert Roelf

Scuola di Chimica Computazionale

3. An Introduction to Molecular Mechanics

CAP 5510 Lecture 3 Protein Structures

CHEM 498Q / CHEM 630Q: Molecular Modeling of Proteins TUTORIAL #3a: Empirical force fields

Gromacs Workshop Spring CSC

Structure Investigation of Fam20C, a Golgi Casein Kinase

Aqueous solutions. Solubility of different compounds in water

Transcription:

The Molecular Dynamics Method Thermal motion of a lipid bilayer Water permeation through channels Selective sugar transport Potential Energy (hyper)surface What is Force? Energy U(x) F = " d dx U(x) Conformation (x) 1

Classical Molecular Dynamics r ( t +! = r( + v(! t v ( t +! = v( + a(! t a ( t ) = F( / F =! m d U (r) dr Classical Molecular Dynamics 1 qiq j U ( r) = 4!" 0 rij Coulomb interaction 12 &, R ), min, ij R U ( r) =. $ * ' - 2* ij $ % + rij ( + r van der Waals interaction min, ij ij 6 ) # '! (! " 2

Classical Molecular Dynamics U(r) = 1 + q i q $ j + # ij - R min,ij 4"# 0 r ij - & % r, ij ' ) ( 12 % F(r) = '" 1 q i q j 2 ' 4#$ 0 r & ij * 2 R 6 $ '. min,ij 0 & % r ) ij ( 0 / "12 $ ij r ij + % - - ',& R min,ij r ij ( * ) 12 " R 6 % (.( min,ij 0 * ' & r * ij ) 0 * ˆ /) r ij Classical Molecular Dynamics 3

Classical Molecular Dynamics Bond definitions, atom types, atom names, parameters,. What is a Force Field? In molecular dynamics a molecule is described as a series of charged points (atoms) linked by springs (bonds). To describe the time evolution of bond lengths, bond angles and torsions, also the non-bonding van der Waals and elecrostatic interactions between atoms, one uses a force field. The force field is a collection of equations and associated constants designed to reproduce molecular geometry and selected properties of tested structures. 4

Energy Functions U bond = oscillations about the equilibrium bond length U angle = oscillations of 3 atoms about an equilibrium bond angle U dihedral = torsional rotation of 4 atoms about a central bond U nonbond = non-bonded energy terms (electrostatics and Lenard-Jones) Energy Terms Described in the CHARMm Force Field Bond Angle Dihedral Improper 5

Interactions between bonded atoms V angle = K " ( ) 2 " #" o V bond = K b ( ) 2 b " b o V dihedral = K ( 1+ cos( n"! )) " # Energy function: Classical Dynamics F=ma at 300K used to determine the force on each atom: yields a set of 3N coupled 2 nd -order differential equations that can be propagated forward (or backward) in time. Initial coordinates obtained from crystal structure, velocities taken at random from Boltzmann distribution. Maintain appropriate temperature by adjusting velocities. 6

Langevin Dynamics Langevin dynamics deals with each atom separately, balancing a small friction term with Gaussian noise to control temperature: The most serious bottleneck steps Rotation of buried sidechains Local denaturations Allosteric transitions s ms 10 15 10 12 µs 10 9 (year) Hinge bending Rotation of surface sidechains Elastic vibrations ns ps 10 6 (day) 10 3 SPEED LIMIT Bond stretching Molecular dynamics timestep fs 10 0 δt t = 1 fs 7

Potential Energy (hyper)surface r ( t +! = r( + v(! t Energy U(x) Conformation (x) ( b b ) 2 V = K! bond b o Chemical type K bond b o C-C 100 kcal/mole/å 2 1.5 Å C=C 200 kcal/mole/å 2 1.3 Å C=C 400 kcal/mole/å 2 1.2 Å Bond Energy versus Bond length 400 Potential Energy, kcal/mol 300 200 100 Single Bond Double Bond Triple Bond 0 0.5 1 1.5 2 2.5 Bond length, Å Bond angles and improper terms have similar quadratic forms, but with softer spring constants. The force constants can be obtained from vibrational analysis of the molecule (experimentally or theoretically). 8

Dihedral Potential V dihedral = K ( 1+ cos( n"! )) " # Dihedral energy versus dihedral angle 20 Potential Energy, kcal/mol 15 10 5 K=10, n=1 K=5, n=2 K=2.5, N=3 0 0 60 120 180 240 300 360 Dihedral Angle, degrees δ = 0 van der Waals interaction *# R & " min,ij ij,, % $ r ( + ij ' 12 ) 2 R 6 # & - min,ij / % $ r ( ij ' /. Short range 9

CHARMM Potential Function PDB file geometry Topology PSF file parameters Parameter file File Format/Structure The structure of a pdb file The structure of a psf file The topology file The parameter file Connection to potential energy terms 10

PDB Files a little information Simulations start with a crystal structure from the Protein Data Bank, in the standard PDB file format. PDB files contain standard records for species, tissue, authorship, citations, sequence, secondary structure, etc. Some of the available fields atom name (N, C, CA) residue name (ALA, HIS) residue id (integer) coordinates (x, y, z) occupancy (0.0 to 1.0) temp. factor (a.k.a. beta) segment id (6PTI) No hydrogen atoms! (We must add them ourselves.) PDB File (available from www.rcsb.org if structure of biopolymer solved) REMARK FILENAME="bpti19.pdb REMARK PROTEINASE INHIBITOR (TRYPSIN) 13-MAY-87 6PTI REMARK BOVINE PANCREATIC TRYPSIN INHIBITOR REMARK BOVINE (BOS TAURUS) PANCREAS REMARK A.WLODAWER REMARK DATE:26-Jun-00 21:34:42 created by user: ATOM 1 HT1 ARG 1 13.150-7.331 10.849 1.00 0.00 BPTI ATOM 2 HT2 ARG 1 11.747-7.115 11.780 1.00 0.00 BPTI etc etc etc ATOM 554 CA GLY 56 15.319 0.828 11.790 1.00 17.33 BPTI ATOM 555 C GLY 56 16.029-0.385 12.375 1.00 18.91 BPTI ATOM 556 OT1 GLY 56 15.443-1.332 12.929 1.00 21.00 BPTI ATOM 557 OT2 GLY 56 17.308-0.138 12.617 1.00 21.95 BPTI END 11

PSF Files atomic properties (mass, charge, type) Every atom in the simulation is listed. Provides all static atom-specific values: atom name (N, C, CA) atom type (NH1, CT1) Ala residue name (ALA, HIS) residue id (integer) HA segment id (6PTI) atomic mass (in atomic mass units) partial charge (in electronic charge units) What is not in the PSF file? CA coordinates (dynamic data, initially read from PDB file) velocities (dynamic data, initially from Boltzmann distribution) force field parameters (non-specific, used for many molecules) N O C HN CB HB1 HB3 HB2 MASS HS 1.0080! thiol hydrogen MASS C 12.0110! carbonyl C, peptide backbone MASS CA 12.0110! aromatic C... (missing data here)!----------------------------------------------------------- AUTOGENERATE ANGLES=TRUE DIHEDRALS=TRUE END!----------------------------------------------------------- RESIDUE ALA Example of PSF File GROUP ATOM N TYPE=NH1 CHARGE= -.4700 END! ATOM HN TYPE=H CHARGE=.3100 END! N--HN ATOM CA TYPE=CT1 CHARGE=.0700 END! HB1 ATOM HA TYPE=HB CHARGE=.0900 END! / GROUP! HA-CA--CB-HB2 ATOM CB TYPE=CT3 CHARGE= -.2700 END! \ ATOM HB1 TYPE=HA CHARGE=.0900 END! HB3 ATOM HB2 TYPE=HA CHARGE=.0900 END! O=C ATOM HB3 TYPE=HA CHARGE=.0900 END! GROUP! ATOM C TYPE=C CHARGE=.5100 END ATOM O TYPE=O CHARGE= -.5100 END!END GROUP BOND CB CA BOND N HN BOND N CA BOND O C BOND C CA BOND CA HA BOND CB HB1 BOND CB HB2 BOND CB HB3 DONOR HN N ACCEPTOR O C END {ALA } N CA HA C O HN HB1 CB HB2 HB3 12

Steps in a Typical MD Simulation 1. Prepare molecule Read in pdb and psf file 2. Minimization Reconcile observed structure with force field used (T = 0) 3. Heating Raise temperature of the system 4. Equilibration Ensure system is stable 5. Dynamics Simulate under desired conditions (NVE, NpT, etc) Collect your data 6. Analysis Evaluate observables (macroscopic level properties) Or relate to single molecule experiments Preparing Your System for MD Solvation Biological activity is the result of interactions between molecules and occurs at the interfaces between molecules (protein-protein, protein- DNA, protein-solvent, DNA-solvent, etc). Why model solvation? many biological processes occur in aqueous solution solvation effects play a crucial role in determining molecular conformation, electronic properties, binding energies, etc How to model solvation? explicit treatment: solvent molecules are added to the molecular system implicit treatment: solvent is modeled as a continuum dielectric 13

Classical Molecular Dynamics r ( t +! = r( + v(! t v ( t +! = v( + a(! t a ( t ) = F( / F =! m d U (r) dr Maxwell Distribution of Atomic Velocities 14

Analysis of E kin, T (free dynamics) The atomic velocities of a protein establish a thermometer, but is it accurate? ubiquitin in water bath! 2 = T 3N 2 2 15