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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
- Why we need structure elucidation
- Structure elucidation - the beginning
- The conventional solution - today
- Why use a computer for structure elucidation?
- Cyber-based structure elucidation
- Capabilities in cyber-based structure elucidation
- The SESAMI system
- SESAMI's program attributes
- SESAMI - interpret
- PRUNE
- INFER
- INFER2D
- Functions of INFER2D
- INFERCNMR (1)
- INFERCNMR - program input and output
- The entire SESAMI system
- Output of INTERPRET
- Structure generation - structure assembly
- Structure generation -structure reduction
- Convergent structure generation - HOUDINI
- Velloquercetin
- Velloquercetin - INFER2D output
- Velloquercetin - INFERCNMR output
- Role of INFERCNMR
- Velloquercetin -SESAMI output
- Stereochemistry
- References
- Acknowledgements
Topics Covered
- Importance in drug discovery
- Structure elucidation as old as chemistry itself
- Role of the Computer; Augment productivity and reliability
- Computer Capabilities: Spectrum interpretation, structure generation, spectrum prediction and spectrum comparison
- Program SESAMI: A compressive structure elucidation system
- SESAMI: Problem solving
- Stereochemistry
Talk Citation
Munk, M.E. (2011, May 31). Cyber-based structure elucidation [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved January 2, 2025, from https://doi.org/10.69645/KEZN2399.Export Citation (RIS)
Publication History
Financial Disclosures
- Prof. Morton E. Munk has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.