DP5

DP5 calculates the probability that a proposed molecular structure is correct based on a single ^13C NMR spectrum.


Key Features:

  • Probability scoring: Computes a quantitative probability that a given molecular structure is correct using a single ^13C NMR spectrum.
  • Distinguishes similar candidates: Differentiates structurally similar candidate structures that may be indistinguishable by conventional NMR analysis.
  • Rapid differentiation: Rapidly differentiates between competing structure proposals.
  • Comparison to DP4: Provides a single-structure probabilistic assessment in contrast to DP4, which selects the most likely structure among multiple candidates.
  • Integration with DP4-AI: Integrates with the DP4-AI package for combined analysis.
  • Misassignment reduction: Produces probability scores intended to reduce publication and subsequent reassignment of incorrect structures.

Scientific Applications:

  • Molecular structure determination: Provides quantitative confidence measures for proposed molecular structures derived from ^13C NMR data.
  • Discovery-driven automated chemical synthesis: Assists automated synthesis workflows by resolving structural uncertainty in product identification.
  • Drug development: Supports drug discovery efforts by resolving subtle structural ambiguities in candidate molecules.
  • Synthetic chemistry decision support: Guides synthetic chemists through subtle structural uncertainties during structure assignment.

Methodology:

Computes a probability score that a proposed structure is correct from a single ^13C NMR spectrum using the DP5 algorithm, distinguishes candidate structures, and can integrate with the DP4-AI package.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
workflow
Operating Systems:
Linux
Programming Languages:
Python
Added:
7/26/2022
Last Updated:
11/24/2024

Operations

Publications

Howarth A, Goodman JM. The DP5 probability, quantification and visualisation of structural uncertainty in single molecules. Chemical Science. 2022;13(12):3507-3518. doi:10.1039/d1sc04406k. PMID:35432857. PMCID:PMC8943899.

PMID: 35432857
PMCID: PMC8943899
Funding: - Engineering and Physical Sciences Research Council: EP/N509620/1