Literature DB >> 16563009

Spec2D: a structure elucidation system based on 1H NMR and H-H COSY spectra in organic chemistry.

Hideyuki Masui1, Huixiao Hong.   

Abstract

A system for structure elucidation based on proton NMR spectra has been developed. The system, named Spec2D (system for spectra from 2D-NMR), incorporates 1H NMR and H-H correlation spectroscopy (COSY) spectral information obtained from 2D-NMR experiments. 2D-NMR is important for the structure elucidation because it provides information about the relationships among differently situated protons in the structures of unknown compounds. The system uses the concepts of molecular graphs. The improved representation of substructures as well as several novel algorithms for structure generation have been devised to solve the combinatorial problem and to reduce the processing time. Spec2D consists of a knowledge base, an analysis module, and a candidate structure generator module. Spec2D proposes candidate structures from only 1H NMR and H-H COSY spectral information of an unknown compound without any 13C NMR spectral or structural information, such as molecular formulas. Spec2D has the capability to propose the "new" structure of an unknown compound, if the corresponding substructures are included in the knowledge base.

Entities:  

Year:  2006        PMID: 16563009     DOI: 10.1021/ci0502810

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  8 in total

1.  "Ask Ernö": a self-learning tool for assignment and prediction of nuclear magnetic resonance spectra.

Authors:  Andrés M Castillo; Andrés Bernal; Reiner Dieden; Luc Patiny; Julien Wist
Journal:  J Cheminform       Date:  2016-05-05       Impact factor: 5.514

2.  sNebula, a network-based algorithm to predict binding between human leukocyte antigens and peptides.

Authors:  Heng Luo; Hao Ye; Hui Wen Ng; Sugunadevi Sakkiah; Donna L Mendrick; Huixiao Hong
Journal:  Sci Rep       Date:  2016-08-25       Impact factor: 4.379

3.  Tissue-Specific 1H-NMR Metabolomic Profiling in Mice with Adenine-Induced Chronic Kidney Disease.

Authors:  Ram B Khattri; Trace Thome; Terence E Ryan
Journal:  Metabolites       Date:  2021-01-10

4.  Database Independent Automated Structure Elucidation of Organic Molecules Based on IR, 1H NMR, 13C NMR, and MS Data.

Authors:  Matevž Pesek; Andraž Juvan; Jure Jakoš; Janez Košmrlj; Matija Marolt; Martin Gazvoda
Journal:  J Chem Inf Model       Date:  2020-12-30       Impact factor: 4.956

5.  A new method for the comparison of 1H NMR predictors based on tree-similarity of spectra.

Authors:  Andrés M Castillo; Andrés Bernal; Luc Patiny; Julien Wist
Journal:  J Cheminform       Date:  2014-03-25       Impact factor: 5.514

6.  A Rat α-Fetoprotein Binding Activity Prediction Model to Facilitate Assessment of the Endocrine Disruption Potential of Environmental Chemicals.

Authors:  Huixiao Hong; Jie Shen; Hui Wen Ng; Sugunadevi Sakkiah; Hao Ye; Weigong Ge; Ping Gong; Wenming Xiao; Weida Tong
Journal:  Int J Environ Res Public Health       Date:  2016-03-25       Impact factor: 3.390

7.  Experimental Data Extraction and in Silico Prediction of the Estrogenic Activity of Renewable Replacements for Bisphenol A.

Authors:  Huixiao Hong; Benjamin G Harvey; Giuseppe R Palmese; Joseph F Stanzione; Hui Wen Ng; Sugunadevi Sakkiah; Weida Tong; Joshua M Sadler
Journal:  Int J Environ Res Public Health       Date:  2016-07-12       Impact factor: 3.390

8.  Consensus Modeling for Prediction of Estrogenic Activity of Ingredients Commonly Used in Sunscreen Products.

Authors:  Huixiao Hong; Diego Rua; Sugunadevi Sakkiah; Chandrabose Selvaraj; Weigong Ge; Weida Tong
Journal:  Int J Environ Res Public Health       Date:  2016-09-29       Impact factor: 3.390

  8 in total

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