Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Are deterministic expert systems for computer-assisted structure elucidation obsolete?

Mikhail E Elyashberg1, Kirill A Blinov, Antony J Williams

  • 1Advanced Chemistry Development, Moscow Department, 6 Akademik Bakulev Street, Moscow 117513, Russian Federation.

Journal of Chemical Information and Modeling
|July 25, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Oleraciamides A and B: Confirmation and Revision of Structures.

Journal of natural products·2026
Same author

Narrative and visual attention in autism spectrum disorder: a cross-cultural perspective.

Frontiers in psychiatry·2026
Same author

A curated geospatial dataset of chemicals used in hydraulic fracturing and their functions.

Journal of environmental quality·2026
Same author

A Computational Investigation of the <sup>15</sup>N Chemical Shift Behavior of <i>Strychnos</i> Alkaloids.

International journal of molecular sciences·2026
Same author

A multi-method phenotypic study of sex differences in pragmatic language in autism.

Frontiers in psychiatry·2026
Same author

Underrepresentation of Females and Racial and Ethnic Minority Groups in Research on Pragmatic Language in Autism: A Scoping Review.

Neurodiversity (Thousand Oaks (Ventura County, Calif.))·2026

Deterministic expert systems using 2D NMR spectra can elucidate large molecular structures, up to 100 heavy atoms. These systems effectively handle complex natural products, even with poor or contradictory spectral data.

Area of Science:

  • Chemistry
  • Computational Chemistry
  • Spectroscopy

Background:

  • Expert systems for molecular structure elucidation using spectroscopy have existed since the 1960s.
  • Deterministic algorithms, based on graph theory and combinatorial analysis, are commonly used in these systems.
  • Recent literature suggested deterministic algorithms might fail for structures >30 heavy atoms, proposing stochastic methods instead.

Purpose of the Study:

  • To comprehensively investigate the capabilities of the deterministic expert system Structure Elucidator.
  • To evaluate the performance of deterministic algorithms for large molecular structures.
  • To address the recent opinion questioning the efficacy of deterministic systems for complex structures.

Main Methods:

  • Utilized the deterministic expert system Structure Elucidator.

Related Experiment Videos

  • Performed structure elucidation on 250 complex natural products.
  • Studied and generalized the results from structure elucidation tasks.
  • Main Results:

    • Deterministic expert systems, like Structure Elucidator, can elucidate large molecular structures up to approximately 100 heavy atoms.
    • The system demonstrated capability in handling complexities arising from poor or contradictory spectral data.
    • The investigation confirmed the robustness of deterministic algorithms for complex natural product structure elucidation.

    Conclusions:

    • Deterministic expert systems utilizing 2D NMR spectra are highly capable of elucidating large and complex molecular structures.
    • These systems can effectively manage challenges posed by imperfect spectral data.
    • The study refutes the notion that stochastic algorithms are exclusively necessary for large structure elucidation.