Guide d'identification Wiley des produits naturels (Bibliothèque AntiBase + ChemWindow) – Wiley Identifier of Natural Products (AntiBase Library + ChemWindow)

Technique: Base de données de criblage

Options d'achat:

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Pour le criblage de composés et d'autres applications dans la recherche de composés naturels

Développé à l'origine par le Dr Hartmut Laatsch, le Wiley Identifier of Natural Products (Bibliothèque AntiBase + ChemWindow) est une base de données complète de plus de 58 000 produits naturels et de leurs structures chimiques. Cette collection est essentielle pour les scientifiques qui identifient les produits naturels dans le domaine pharmaceutique et dans d'autres domaines de recherche. Elle est connue pour être un outil de criblage efficace pour les composés présentant des effets antimicrobiens et qui ont déjà été étudiés.

Caractéristiques Principales :

    • Champs de propriété riches en données : Les métadonnées de valeur incluses pour chaque enregistrement, le cas échéant :
      • Propriétés des composés - formule moléculaire, masse, composition, classe, géolocalisation
      • Données physico-chimiques - point de fusion, rotation optique
      • Données spectroscopiques - IR, HRMS, spectres de masse, UV, plus des données RMN 13C prévues de haute qualité générées à l’aide de l’algorithme de prédiction de spectre RMN propriétaire de Wiley
      • Références connexes - lien direct vers la littérature DOI, base de données sur le métabolisme humain

    • Données soigneusement sélectionnées et vérifiées : Données recueillies à partir de la littérature primaire et secondaire ; puis soigneusement vérifiées et validées avec les principales références et sources fournies en tant que champ de données.

    • NOUVEAU ! Inclut désormais le logiciel ChemWindow de Wiley : Recherchez l’ensemble de la collection AntiBase à l’aide des fonctionnalités avancées de recherche de données et d’exploration de ChemWindow. Inclut également les outils renommés de ChemWindow pour le dessin de structure, le reporting et la création de vos propres bases de données.

Spécifications des bases de données

  • Composés de produits naturels : 58,849 
  • Structures chimiques : 56,000
  • Données de classification des composés : 21,911
  • Données sur la source/l'origine : 55,786/9,904  
  • Biological Activity Data: 32,147
  • Literature References: 58,179
  • Valeurs de la rotation optique (RO) : 15,658  
  • Données relatives au point de fusion : 6,965 
  • Références HMDB : 1,724 
  • MS : 8,310
  • IR : 10,906 
  • H-RMN : 2,212
  • C-RMN : 41,812 
  • UV: 16,613 


  • KnowItAll / ChemWindow

Composés couverts

Composés couverts :

Cas d’utilisation tirés de la littérature

The Wiley Identifier of Natural Products AntiBase Library has been referenced over 1,500 times in Google Scholar. Here are a few of the many examples of how scientists use this database in various applications.

Article TitleDOI LinkSummaryApplication Area
Discovery of actinomycin L, a new member of the actinomycin family of antibiotics produce bioactive natural products, including a majority of naturally produced antibiotics. Two new actinomycin analogues produced by Streptomyces sp. MBT27, actinomycin L1 and L2, have been discovered. Dereplication was performed using Reaxys, ChemSpider, and AntiBase. Mass features of existing natural products were annotated while one mass feature with an m/z value of 1387.6706 [M + H]+ could not be matched to any previously reported natural products.Antibiotics
New Metabolites From the Endophytic Fungus Cercophora samala Associated With Mitragyna inermis×211013220Mitragyna inermis is a small tree species that grows in West Africa that has been used in traditional medicine to treat a number of conditions. Two new metabolites from this tree species have been isolated and have had their structures elucidated by comparison of their spectroscopic data with those reported in AntiBase and by DFT calculations.Metabolomics
Combination of high-throughput microfluidics and FACS technologies to leverage the numbers game in natural product discovery facilitate the discovery of natural products, a screening method was developed using a combination of droplet microfluidics and fluorescence-activated cell sorting-based technologies. This method was utilized to assess a microbial environmental sample. To identify the natural products, molecular formula searches were performed using AntiBase.Antimicrobials
Screening for biologically active metabolites with endosymbiotic bacilli isolated from arthropods bacteria from the genus Bacillus were isolated from different compartments of the gut of various insects and millipedes. The samples were screened for biologically active metabolites, which were isolated. Structure elucidation was done by a combination of NMR and HREI or DCI mass spectrometry. Their structures were determined with the aid of AntiBase, NMR: Aldrich Library, and spectrum collections (MS: NIST, WILEY).Metabolomics
Comprehensive Analysis of the Alternaria Mycobolome Using Mass Spectrometry Based Metabolomics ion cyclotron resonance mass spectrometry (FTICR-MS) and LC-MS/MS are combined for the non-targeted and targeted analysis of the metabolome of three A. alternata isolates and one A. solani isolate. Due to the ultra-high resolution of FTICR-MS, unique molecular formulae are assigned to measured m/z signals. The molecular formulae are matched to entries of the databases AntiBase and Kyoto Encyclopedia of Genes and Genomes. The non-targeted analysis of the fungal extracts reveals variations in the secondary metabolite profile of A. alternata and A. solani. Differences in the biosynthesis of dibenzo-α-pyrones, perylene quinones, tentoxin, and tenuazonic acid of the A. alternata and A. solani isolates are determined applying targeted LC-MS/MS.Metabolomics
Signalling and Bioactive Metabolites from Streptomyces sp. RK44 profiling of the RK44 extract using high-resolution electrospray ionization mass spectrometry (HR-ESIMS) and Global Natural Product Social (GNPS) molecular network (MN) [7] showed a cluster of low molecular weight metabolites with a characteristic 250 nm UV absorption, suggesting that they share a common chromophore skeleton. Database dereplication using AntiBase 2017 (WILEY) and other online databases (The Natural Products Atlas, ChemSpider) [8,9] revealed that these metabolites have not been previously described in the literature [10,11].Metabolomics
A selective antibiotic for Lyme disease extract of S. hygroscopicus was separated into 40 fractions using high-performance liquid chromatography (HPLC). The fractions were tested for growth inhibition of B. burgdorferi, resulting in the isolation of a pure compound with a molecular mass of 511 Da (Figure 1A). The structure was determined by a combination of mass spectrometry (MS) and NMR analysis (Figures S1 and S2; Tables S1 and S2). Surprisingly, a search of AntiBase database revealed the identity of this compound to hygromycin A, a known antibiotic (Figure 1A).Antibiotics
Crude Extracts of Talaromyces Strains (Ascomycota) Affect Honey Bee (Apis mellifera) Resistance to Chronic Bee Paralysis Virus are a large contributor to the global decline of honeybee populations. Introducing natural antiviral compounds from fungi to the diet of honeybees could limit the impact of such viruses. Seven strains of the fungal genus Talaromyces infected by chronic bee paralysis virus (CBPV) were examined. AntiBase 2017 and an in-house reference database were used to narrow down the molecular structure and to highlight compounds of interest. Three extracts (from strains B13, B18 and B30) were found to mitigate CBPV infections and increase the survival rate of bees.Metabolomics
Sargassum horneri (Turner) C. Agardh Extract Regulates Neuroinflammation In Vitro and In Vivo suggest that S. horneri can help prevent osteoporosis and control cholesterol, blood pressure and hyperlipidemia and cosmetics and functional foods containing S. horneri are known to have anti-aging, anti-allergic and whitening effects. Thus, the anti-neuroinflammatory effects of S. horneri extract on microglia were investigated. The active ingredient in S. horneri was confirmed using AntiBase, previously reported data, and LC-MS/MS analysis. S. horneri was found to elicit anti-neuroinflammatory effects by inhibiting phosphorylation of p38 MAPK and NF-κB and inhibited astrocytes and microglia activation in LPS-challenged mice brain.Anti-inflammatory
Fungal Species and Multi-Mycotoxin Associated with Post-Harvest Sorghum (Sorghum bicolor (L.) Moench) Grain in Eastern Ethiopia is the main staple food crop in developing countries, but sorghum grain quantity and quality are affected by contaminating fungi both in the field and post-harvest stages. Samples of fungal species and multi-mycotoxins associated with sorghum grain in the post-harvest stage were examined. The allocation of the toxins to different species was done using AntiBase, previously reported data, and investigations of the metabolite profile of pure cultures of toxigenic fungi. The study revealed that the sorghum grains were significantly contaminated with co-occurrences of several mycotoxins and thus the importance of farmers being trained on the improved management of sorghum production.Mycotoxins