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ChEBI

  • The Structure and Antioxidant Properties

    The Structure and Antioxidant Properties

  • S41467-020-16549-2.Pdf

    S41467-020-16549-2.Pdf

  • DATABASE Report April 2019 Enquiries@Guidetopharmacology.Org TABLE of CONTENTS TABLE of CONTENTS

    DATABASE Report April 2019 [email protected] TABLE of CONTENTS TABLE of CONTENTS

  • Using Natural Language Processing Methods to Support Curation of a Chemical Ontology., Doctor of Philosophy, May 2014 DECLARATION

    Using Natural Language Processing Methods to Support Curation of a Chemical Ontology., Doctor of Philosophy, May 2014 DECLARATION

  • The Experimental Factor Ontology Utilities in Knowledge Discovery and Sharing

    The Experimental Factor Ontology Utilities in Knowledge Discovery and Sharing

  • SOT 2017 P225 AOP Poster Luettich Et Al Final

    SOT 2017 P225 AOP Poster Luettich Et Al Final

  • Expanding Opportunities for Mining Bioactive Chemistry from Patents, Drug Discov Today: Technol (2015), 10.1016/J.Ddtec.2014.12.001

    Expanding Opportunities for Mining Bioactive Chemistry from Patents, Drug Discov Today: Technol (2015), 10.1016/J.Ddtec.2014.12.001

  • The Role of Uniprot's Protein Sequence Databases in Biomedical Research

    The Role of Uniprot's Protein Sequence Databases in Biomedical Research

  • Carbon Dioxide - Wikipedia

    Carbon Dioxide - Wikipedia

  • Evaluation and Cross-Comparison of Lexical Entities of Biological Interest (Lexebi)

    Evaluation and Cross-Comparison of Lexical Entities of Biological Interest (Lexebi)

  • Chemistry Requirements

    Chemistry Requirements

  • Extension of Roles in the Chebi Ontology

    Extension of Roles in the Chebi Ontology

  • Chebi Guidelines URL Description Chemical Entities of Biological Interest (Chebi) Is a Freely Avail

    Chebi Guidelines URL Description Chemical Entities of Biological Interest (Chebi) Is a Freely Avail

  • Drugcentral 2021 Supports Drug Discovery and Repositioning

    Drugcentral 2021 Supports Drug Discovery and Repositioning

  • Towards Academic Drug Development Guidelines

    Towards Academic Drug Development Guidelines

  • Learning Chemistry: Exploring the Suitability of Machine Learning for the Task of Structure-Based Chemical Ontology Classification

    Learning Chemistry: Exploring the Suitability of Machine Learning for the Task of Structure-Based Chemical Ontology Classification

  • Metabolights: a Resource Evolving in Response to the Needs of Its

  • Induction of Catharanthus Roseus Secondary Metabolites When Calotropis Procera Was Used As Bio-Stimulant

    Induction of Catharanthus Roseus Secondary Metabolites When Calotropis Procera Was Used As Bio-Stimulant

Top View
  • 051818 Friday Staff Report[Icon]
  • Identifying Chemical Entities Based on Chebi Tiago Grego 1,∗ Francisco R
  • Consolidating Metabolite Identifiers to Enable Contextual and Multi
  • FARE2015 WINNERS Sorted by Institute/Center
  • Novel Antiproliferative Tripeptides Block AP-1 Transcriptional Complex
  • Gtopdb Database Report
  • Similarity Metrics for Determining Overlap Among Biological Pathways Lucy L
  • Figure S1 1. 3',4',5'-Trimethoxyflavone MS Spectrum Peak List
  • Enhancing the Interoperability of Glycan Data Flow Between Chebi, Pubchem, and Glygen
  • An Ontology of Chemical Entities Helps Identify Dependence Relations Among Gene Ontology Terms
  • A Model for Collaborative Curation, the IEDB and Chebi Curation of Non-Peptidic Epitopes
  • Package 'Webchem'
  • Exploring the Suitability of Machine Learning for the Task of Structure-Based Chemical Ontology Classificati
  • A Web Tool and Library for Chemical Enrichment Analysis Based on The
  • Chebi: a Database and Ontology for Chemical Entities of Biological Interest
  • GO Faster Chebi with Reasonable Biochemistry
  • Using a Jupyter Notebook to Perform a Reproducible Scientific Analysis
  • Safety Assessment of Diacetone Alcohol As Used in Cosmetics


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