PRO-CHEMIST VERSION 6.5 MOLECULAR MODELING (MECHANICS SEMI-EMPIRICAL)

Slides:



Advertisements
Similar presentations
Valence Bond Theory. What is it? Created by Linus Pauling – Go America! It is a good qualitative view of the bonding of atoms The main idea is…… Bonds.
Advertisements

Chapter 6: covalent compounds
Chemistry Daily 10’s Week A mutual electrical attraction between the nuclei and valence electrons of different atoms that binds the atoms together.
Force Field of Biological System 中国科学院理论物理研究所 张小虎 研究生院《分子建模与模拟导论》课堂 2009 年 10 月 21 日.
Computational Chemistry
Computer-Chemie-CentrumUniversität Erlangen-Nürnberg Virtual screening and modelling: must it be atoms? Tim Clark Computer-Chemie-Centrum Universität Erlangen-Nürnberg.
Geometric Algorithms for Conformational Analysis of Long Protein Loops J. Cortess, T. Simeon, M. Remaud- Simeon, V. Tran.
Molecular Modeling of Crystal Structures molecules surfaces crystals.
Molecular Simulation. Molecular Simluation Introduction: Introduction: Prerequisition: Prerequisition: A powerful computer, fast graphics card, A powerful.
Protein Primer. Outline n Protein representations n Structure of Proteins Structure of Proteins –Primary: amino acid sequence –Secondary:  -helices &
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.
Chapter 2 Structure and Properties of Organic Molecules Organic Chemistry, 6 th Edition L. G. Wade, Jr. Jo Blackburn Richland College, Dallas, TX Dallas.
QSAR Qualitative Structure-Activity Relationships Can one predict activity (or properties in QSPR) simply on the basis of knowledge of the structure of.
An Introduction to Molecular Orbital Theory. Levels of Calculation Classical (Molecular) Mechanics quick, simple; accuracy depends on parameterization;
Cédric Notredame (30/08/2015) Chemoinformatics And Bioinformatics Cédric Notredame Molecular Biology Bioinformatics Chemoinformatics Chemistry.
Molecular Modeling Fundamentals: Modus in Silico C372 Introduction to Cheminformatics II Kelsey Forsythe.
can overlap in 2 different ways, forming either sigma or pi bonds.
AS Chemistry – Atomic structure and bonding. Sub-atomic particles Protons – mass 1; charge +1 Electrons – mass 1 / 1840 ; charge –1 Neutrons – mass 1;
An Introduction to Computational Chemistry
Chem 1140; Molecular Modeling Molecular Mechanics Semiempirical QM Modeling CaCHE.
Title: Lesson 11 Hybridisation - Sigma and Pi Bonds
 Four levels of protein structure  Linear  Sub-Structure  3D Structure  Complex Structure.
Use of Machine Learning in Chemoinformatics Irene Kouskoumvekaki Associate Professor December 12th, 2012 Biological Sequence Analysis course.
Chapter 2 STRUCTURE AND PROPERTIES OF ORGANIC MOLECULES Chapter 2: Structure and Properties of Organic Molecules Helpful web site:
Conformational Entropy Entropy is an essential component in ΔG and must be considered in order to model many chemical processes, including protein folding,
Altman et al. JACS 2008, Presented By Swati Jain.
Covalent interactions non-covalent interactions + = structural stability of (bio)polymers in the operative molecular environment 1 Energy, entropy and.
ChE 553 Lecture 4 Models For Physisorption And Chemisorption I 1.
Virtual Screening C371 Fall INTRODUCTION Virtual screening – Computational or in silico analog of biological screening –Score, rank, and/or filter.
MODELING MATTER AT NANOSCALES 3. Empirical classical PES and typical procedures of optimization Classical potentials.
Molecular Crystals. Molecular Crystals: Consist of repeating arrays of molecules and/or ions.
Covalent bonding in Methane: CH 4 Carbon: 1S 2 2S 2 2P 2 Energy is released as carbon forms covalent bonds and the more energy released the more stable.
Covalent Compounds Chapter Covalent Bonds. Covalent Bond The sharing of electrons between atoms Forms a molecule To have stable (filled) orbitals.
Introduction to Chemoinformatics and Drug Discovery Irene Kouskoumvekaki Associate Professor February 15 th, 2013.
Developing a Force Field Molecular Mechanics. Experimental One Dimensional PES Quantum mechanics tells us that vibrational energy levels are quantized,
Assessment of Spartan AP Chemistry students Julie B. Ealy Haverford College – to be PSU ACS – April 2001.
Use of Machine Learning in Chemoinformatics
Structural classification of Proteins SCOP Classification: consists of a database Family Evolutionarily related with a significant sequence identity Superfamily.
Atomic Orbitals – Class Warmup Determine whether each of the following statements is true or false. If it is false, explain what is wrong with the statement.
Energy Basics. Part 1: The Relationship Between Matter and Energy 1.Define matter and energy Matter is anything that occupies space and has mass. Energy.
Elon Yariv Graduate student in Prof. Nir Ben-Tal’s lab Department of Biochemistry and Molecular Biology, Tel Aviv University.
Chemical bonds and molecular models.  Compounds are composed of chemical bonds  Bonds are result of interactions between particles- electrons and protons.
PRO-CHEMIST MODELISATION MOLECULAIRE (MECANIQUE SEMI-EMPIRIQUE) RECHERCHE DE CONFORMATIONS- DOCKING ADMET ( LOGP,LOGD,ABSORPTION,,,,,,,) QSAR/SAR ANALYSE.
S2 Chemistry Covalent Bonding.
Lecture: 5 Properties, structures, existence and synthesis/perparation
Part 1: Molecular Orbitals
Chapter 2 Molecular Mechanics
GOAL: a quantitative interpretation of the vibrational spectra
Intermolecular Forces
Ch 6 Covalent Compounds What determines whether two atoms will form a bond? How can a hydrogen atom, which has one valence electron, bond with chlorine,
Virtual Screening.
Molecular Shapes.
Atomistic materials simulations at The DoE NNSA/PSAAP PRISM Center
Current Status at BioChemtek
Part 1: Molecular Orbitals
4.2 Representing Molecular Compounds
Ligand Docking to MHC Class I Molecules
BIOINFORMATICS Summary
Molecules 3.3.
Molecules 3.3.
Molecules 3.3.
Crystal Binding (Bonding) Continued More on Covalent Bonding Part V
Molecular Orbital Theory
Ultrafast Infrared Spectroscopy as a Probe of Molecular Dynamics: A Molecular Modeling Study Christopher P. Lawrence, Department of Chemistry, Grand Valley.
Mr.Halavath Ramesh 16-MCH-001 Dept. of Chemistry Loyola College University of Madras-Chennai.
Mr.Halavath Ramesh 16-MCH-001 Dept. of Chemistry Loyola College University of Madras-Chennai.
Mr.Halavath Ramesh 16-MCH-001 Dept. of Chemistry Loyola College University of Madras-Chennai.
Mr.Halavath Ramesh 16-MCH-001 Dept. of Chemistry Loyola College University of Madras-Chennai.
9.4/9.5 Orbital Overlap and Hybrids
Presentation transcript:

PRO-CHEMIST VERSION 6.5 MOLECULAR MODELING (MECHANICS SEMI-EMPIRICAL) CONFORMATIONAL RESEARCH- DOCKING MOLECULAR DYNAMICS ADMET ( LOGP,LOGD,ABSORPTION,,,,,,,) QSAR/SAR DATA MINING MOLECULAR DATABASE MOLECULAR SHAPE BANK THERAPEUTIC CLASS PREDICTION

MOLECULAR MECHANICS FORCE FIELD VESCF /PI CALCS, HYDROGEN BONDING METAL COORDINATION SOLVATATION EFFECTS SUPERSTRUCTURE MOLECULAR GRAPH TOPOLOGICAL INDICES

EXAMPLES ADAMANTANE Fullerene

CONFORMATIONS MULTOR (Multitorsion of dihedral angles) RANDOMISATION Random displacement of atoms) DYNAMIC (verlet,Langevin) GA (Genetic Algorithms) DOCKING (Montecarlo $ Genetic Algorithms)

SEMI-EMPIRICAL Miindo,Pm3,Am1,Mindo Electronic density Ir,,spectra Orbitals(Homo,lumo---) Solvatation (Hydratation energy Sas model,) Electronic density Biphenyl

EXAMPLES Orbital Homo Formaldehyde Vibration Mode Animation

ADMET Lipophilicity Molecular LlipophilicitypPotential Logp,Logd,Pka Solubility( water,solvant) Absorption(skin,intestinal),, Solvatation Born Model Isopotental MLP(Crown Ether)

EXAMPLES Lipophiliicity in space' porphyrin2)

SAR / QSAR Molecular database generation Molecular descriprors calcs DataMining - Qualitative(clusterisation , Factorial Analysis(PCA,,) , Neuronal Network (Kohonen,BP) ,Molecular Machine ,Quantitative , Mrg , Neuronal Network - GA Immune network Non linear Models

MOLECULAR DATABASE Automatic Convertissor Sdf (0D,2D ----> 3D) Classification Hyperbolic Visualisation $ Navigation Java Applet(molecules $ treee) html Pages /Xml 200 molecules 2d classifciarion tree

MOLECULAR SHAPE BANK Wavelet transform of functions on VDW surfaces Electrostatic Potential Mlp(Lipophilicity) Interactions Potential Wavelet coeffcients spectrum Mulriresolution paradigm GLUCOSE MRA Gucose Wavelet Trans GLUCOSE MRA Level1 Level 3 Level 9 Level 18

MULTIRESOLUTION ANALYSIS

EXAMPLES Cubane Pcb

EXAMPLES Fullerene Crow K6

Shape -Fonctions Relationships Wavelets coefficients calcs Spectra similraty calcs Similar blocksdetection Target similar shape fitting Unsupervised clusterisation Relations wavelet coefficients - Function Examples Therapeutic classes prediction