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- Representation of Chemical Structures
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3. Chemical file formats and line notations
- Prof. Achim Zielesny
- Visualization of Chemical Structure
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4. Common types of visualization of chemical structure
- Prof. Robert M. Hanson
- Basic Algorithms in Cheminformatics
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5. Ring searching and aromaticity detection
- Prof. Dr. Christoph Steinbeck
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6. Substructure searching, similarity calculations and fingerprints
- Mr. Mark Rijnbeek
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7. Canonization, Morgan algorithm, equivalence classes
- Dr. Markus Meringer
- Structure Databases
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8. Storing, searching and dissemination of chemical information
- Prof. Achim Zielesny
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9. Databases, indices and structure-related queries
- Dr. Wolf-Dietrich Ihlenfeldt
- Quantitative Structure-Activity/Property Relationships
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10. Overview of descriptors
- Dr. Jörg Kurt Wegner
- Machine Learning in Cheminformatics
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11. Introduction to machine learning and its application in chemistry
- Dr. Nikolas Fechner
- Cheminformatics in Drug Discovery
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12. Virtual screening
- Dr. John H. Van Drie
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13. Pharmacophore methods in drug discovery
- Dr. John H. Van Drie
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14. Pragmatic virtual fragment-based ligand design
- Dr. Marcus Gastreich
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15. Chemogenomics
- Dr. John P. Overington
- Molecular Modelling
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16. Molecular modelling: empirical methods
- Prof. Tim Clark
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17. Molecular modelling: electronic structure methods
- Prof. Tim Clark
- Computer-Assisted Structure Elucidation
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18. Methods for NMR-spectrum prediction
- Dr. Wolfgang Robien
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19. Cyber-based structure elucidation
- Prof. Morton E. Munk
- The Chemical Semantic Web
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20. Semantic chemistry: an overview
- Dr. Nico Adams
- Open Notebook Science and the Open Access Movement in Chemistry
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21. Open research: motivation, theory, and practice
- Dr. Cameron Neylon
- Archived Lectures *These may not cover the latest advances in the field
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22. Representation of chemical structures
- Dr. Thomas Engel
Printable Handouts
Navigable Slide Index
- Introduction
- Classical mechanical models of molecules
- Calculation methods
- The Morse potential
- What is a force field?
- What isn't a force field?
- Harmonic bond-stretch potential
- Harmonic angle-bend potential
- Torsional potentials
- Van der Waals potentials
- Lennard-Jones potential curve
- Potentials - "improper" torsions
- Electrostatic (Coulomb) interactions
- "The fallacy of atomic charges"
- Dipole-dipole interactions
- Force-field methods (1)
- Geometry optimization
- Minima and transition states
- Energy curve of normal vibrations
- A physical model to visualize a transition state
- Geometry optimisation
- Optimisation techniques
- Force constant matrix (Hessian)
- Transition states
- 2D-reaction profile
- Force-field methods (2)
- Hamiltonian and Sampling
- The danger of using only one conformation
- Why we need to sample
- Sampling and statistical mechanics
- Calculations in statistical mechanics
- Monte-Carlo simulations
- Monte-Carlo calculations: an example
- Thermodynamic equilibrium
- Importance sampling
- Metropolis sampling
- Metropolis Monte-Carlo algorithm
- Molecular Dynamics (MD)
- The Ergodic hypothesis
- Newton's equation of motion
- Newton's second law of motion (1)
- Newton's second law of motion (2)
- MD is driven by numerical integration
- Typical parameters of a MD simulation
- Energy
- Temperature
- Periodic boundary conditions
- Simulation time
- Range of biological motions
- Time-scale of molecular events
- Definitions
- Thermodynamic state definitions
- Applications of MD
- Summary and acknowledgments
Topics Covered
- Force fields
- Geometry optimization
- Minima and transition states
- Sampling
- Monte Carlo
- Molecular dynamics
Talk Citation
Clark, T. (2011, May 31). Molecular modelling: empirical methods [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved January 2, 2025, from https://doi.org/10.69645/MTME6568.Export Citation (RIS)
Publication History
Financial Disclosures
- Prof. Tim Clark has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.