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

Slides:



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

Transfer FAS UAS SAINT-PETERSBURG STATE UNIVERSITY COMPUTATIONAL PHYSICS Introduction Physical basis Molecular dynamics Temperature and thermostat Numerical.
Homework 2 (due We, Feb. 5): Reading: Van Holde, Chapter 1 Van Holde Chapter 3.1 to 3.3 Van Holde Chapter 2 (we’ll go through Chapters 1 and 3 first. 1.Van.
Molecular Dynamics: Review. Molecular Simulations NMR or X-ray structure refinements Protein structure prediction Protein folding kinetics and mechanics.
A Digital Laboratory “In the real world, this could eventually mean that most chemical experiments are conducted inside the silicon of chips instead of.
Chemistry 6440 / 7440 Molecular Mechanics. Resources Grant and Richards, Chapter 3 Leach, Chapter 3 Jensen, Chapter 2 Cramer, Chapter 2 Burkert and Allinger,
Questions 1) Are the values of r0/theta0 approximately what is listed in the book (in table 3.1 and 3.2)? -> for those atom pairs/triplets yes; 2) In the.
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 Simulation. Molecular Simluation Introduction: Introduction: Prerequisition: Prerequisition: A powerful computer, fast graphics card, A powerful.
Protein Tertiary Structure Prediction. Protein Structure Prediction & Alignment Protein structure Secondary structure Tertiary structure Structure prediction.
Molecular Mechanics, Molecular Dynamics, and Docking Michael Strong, PhD National Jewish Health 11/23/2010.
Experimentally solving protein structures, protein-protein interactions and simulating protein dynamics Lecture 15 Introduction to Bioinformatics 2007.
The Geometry of Biomolecular Solvation 1. Hydrophobicity Patrice Koehl Computer Science and Genome Center
Inverse Kinematics for Molecular World Sadia Malik April 18, 2002 CS 395T U.T. Austin.
Bioinf. Data Analysis & Tools Molecular Simulations & Sampling Techniques117 Jan 2006 Bioinformatics Data Analysis & Tools Molecular simulations & sampling.
Computational Structure Prediction Kevin Drew BCH364C/391L Systems Biology/Bioinformatics 2/12/15.
Molecular Modeling Part I Molecular Mechanics and Conformational Analysis ORG I Lab William Kelly.
Molecular Modeling Fundamentals: Modus in Silico C372 Introduction to Cheminformatics II Kelsey Forsythe.
Molecular Modeling Part I. A Brief Introduction to Molecular Mechanics.
Molecular Mechanics and docking Lecture 22 Introduction to Bioinformatics 2007 C E N T R F O R I N T E G R A T I V E B I O I N F O R M A T I C S V U E.
Algorithms and Software for Large-Scale Simulation of Reactive Systems _______________________________ Ananth Grama Coordinated Systems Lab Purdue University.
02/03/10 CSCE 769 Dihedral Angles Homayoun Valafar Department of Computer Science and Engineering, USC.
Protein-Nucleic Acid Dynamics Ashok Kolaskar Vice Chancellor University of Pune Pune India.
Molecular Dynamics Simulations An Introduction TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: AAAA A A A A Pingwen Zhang.
CZ5225 Methods in Computational Biology Lecture 4-5: Protein Structure and Structural Modeling Prof. Chen Yu Zong Tel:
BL5203 Molecular Recognition & Interaction Section D: Molecular Modeling. Chen Yu Zong Department of Computational Science National University of Singapore.
Computational Chemistry Molecular Mechanics/Dynamics F = Ma Quantum Chemistry Schr Ö dinger Equation H  = E 
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 ’
10/3/2003 Molecular and Cellular Modeling 10/3/2003 Introduction Objective: to construct a comprehensive simulation software system for the computational.
A Technical Introduction to the MD-OPEP Simulation Tools
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.
Covalent interactions non-covalent interactions + = structural stability of (bio)polymers in the operative molecular environment 1 Energy, entropy and.
Solving protein structures,molecular mechanics, and docking Lecture 18 Introduction to Bioinformatics 2006.
MODELING MATTER AT NANOSCALES 3. Empirical classical PES and typical procedures of optimization Classical potentials.
Homework 2 (due We, Feb. 1): Reading: Van Holde, Chapter 1 Van Holde Chapter 3.1 to 3.3 Van Holde Chapter 2 (we’ll go through Chapters 1 and 3 first. 1.Van.
Molecular Modelling - Lecture 2 Techniques for Conformational Sampling Uses CHARMM force field Written in C++
1 Statistical Mechanics and Multi- Scale Simulation Methods ChBE Prof. C. Heath Turner Lecture 18 Some materials adapted from Prof. Keith E. Gubbins:
1 CE 530 Molecular Simulation Lecture 14 Molecular Models David A. Kofke Department of Chemical Engineering SUNY Buffalo
Simplistic Molecular Mechanics Force Field Van der WaalsCharge - Charge Bond Angle Improper Dihedral  
LSM3241: Bioinformatics and Biocomputing Lecture 6: Fundamentals of Molecular Modeling Prof. Chen Yu Zong Tel:
Hydro-pathy/phobicity/philicity One of the most commonly used properties is the suitability of an amino acid for an aqueous environment Hydropathy & Hydrophobicity.
Review Session BS123A/MB223 UC-Irvine Ray Luo, MBB, BS.
Molecular Dynamics, Monte Carlo and Docking Lecture 21 Introduction to Bioinformatics MNW2.
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.
1 of 21 SDA development -Description of sda Description of sda-5a - Sda for docking.
Chapter 2 Molecular Mechanics
Molecular Analysis of the Interaction between Staphylococcal Virulence Factor Sbi-IV and Complement C3d  Ronald D. Gorham, Wilson Rodriguez, Dimitrios.
Molecular dynamics (MD) simulations
Volume 84, Issue 6, Pages (June 2003)
Algorithms and Software for Large-Scale Simulation of Reactive Systems
Computational Analysis
Driven Adiabatic Dynamics Approach to the Generation of Multidimensional Free-Energy Surfaces. Mark E. Tuckerman, Dept. of Chemistry, New York University,
Molecular dynamics (MD) simulations
Giovanni Settanni, Antonino Cattaneo, Paolo Carloni 
CZ5225 Methods in Computational Biology Lecture 7: Protein Structure and Structural Modeling Prof. Chen Yu Zong Tel:
Volume 86, Issue 6, Pages (June 2004)
A Computational Framework for Mechanical Response of Macromolecules: Application to the Salt Concentration Dependence of DNA Bendability  Liang Ma, Arun.
Molecular simulation methods
Liqun Zhang, Susmita Borthakur, Matthias Buck  Biophysical Journal 
Michel A. Cuendet, Olivier Michielin  Biophysical Journal 
Christian Kappel, Ulrich Zachariae, Nicole Dölker, Helmut Grubmüller 
Algorithms and Software for Large-Scale Simulation of Reactive Systems
Binding Dynamics of Isolated Nucleoporin Repeat Regions to Importin-β
Mijo Simunovic, Gregory A. Voth  Biophysical Journal 
Christian Kappel, Ulrich Zachariae, Nicole Dölker, Helmut Grubmüller 
Presentation transcript:

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

Allowed phi-psi angles Red areas are preferred, yellow areas are allowed, and white is avoided

2.3a Hamiltonian equations of motion Hamiltonian equations (one degree of freedom): H – Hamiltonian function, Hamiltonian, q, p –Canonical variables: generalized coordinate (q) and momentum [impulses] (p).

q = coordinates p = momentum

v(t) = (r(t +  t) - r(t -  t))/2  t

Molecular Dynamics Knowledge of the atomic forces and masses can be used to solve the position of each atom along a series of extremely small time steps (on the order of femtoseconds = seconds). The resulting series of snapshots of structural changes over time is called a trajectory. The use of this method to compute trajectories can be more easily seen when Newton's equation is expressed in the following form: The "leapfrog" method is a common numerical approach to calculating trajectories based on Newton's equation. The steps can be summarized as follows:

Force field The potential energy of a system can be expressed as a sum of valence (or bond), crossterm, and nonbond interactions: The energy of valence interactions comprises bond stretching (E bond ), valence angle bending (E angle ), dihedral angle torsion (E torsion ), and inversion (also called out-of- plane interactions) (E inversion or E oop ) terms, which are part of nearly all forcefields for covalent systems. A Urey-Bradley term (E UB ) may be used to account for interactions between atom pairs involved in 1-3 configurations (i.e., atoms bound to a common atom): E valence = E bond + E angle + E torsion + E oop + E UB Modern (second-generation) forcefields include cross terms to account for such factors as bond or angle distortions caused by nearby atoms. Crossterms can include the following terms: stretch-stretch, stretch-bend-stretch, bend-bend, torsion-stretch, torsion-bend-bend, bend-torsion-bend, stretch-torsion-stretch. The energy of interactions between nonbonded atoms is accounted for by van der Waals (E vdW ), electrostatic (E Coulomb ), and (in some older forcefields) hydrogen bond (E hbond ) terms: E nonbond = E vdW + E Coulomb + E hbond

Force field

f = a/r 6 - b/r 12 Van der Waals forces distance energy

F = kq 1 q 1 /r 2

Figure: Snapshots of ubiquitin pulling with constant velocity at three different time steps.

antibody HyHEL-63 (cyan) complexed with Hen Egg White Lysozyme The X-ray structure of the antibody HyHEL-63 (cyan) uncomplexed and complexed with Hen Egg White Lysozyme (yellow) has shown that there are small but significant, local conformational changes in the antibody paratope on binding. The structure also reveals that most of the charged epitope residues face the antibody. Details are in Li YL, Li HM, Smith-Gill SJ and Mariuzza RA (2000) The conformations of the X-ray structure Three-dimensional structures of the free and antigen-bound Fab from monoclonal antilysozyme antibody HyHEL-63. Biochemistry 39: Salt links and electrostatic interactions provide much of the free energy of binding. Most of the charged residues face in interface in the X-ray structure. The importance of the salt link between Lys97 of HEL and Asp27 of the antibody heavy chain is revealed by molecular dynamics simulations. After 1NSec of MD simulation at 100°C the overall conformation of the complex has changed, but the salt link persists. Details are described in Sinha N and Smith-Gill SJ (2002) Electrostatics in protein binding and function. Current Protein & Peptide Science 3: