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Bios April 20, 2023

Ron Caspi

Senior scientific database curator, Artificial Intelligence Center

Ron Caspi, Ph.D., is a biologist working as a database curator in the field of bioinformatics. He has a broad knowledge of biochemistry, metabolism, and molecular biology, which he has been applying since 2004 towards curation of thousands of metabolic pathways, reactions, and enzymes in MetaCyc, the largest and richest metabolic knowledge base available. He has also curated numerous organism-specific Pathway/Genome Databases for important microbes that are part of the BioCyc database collection.

 Dr. Caspi is a member of the Enzyme Commission (EC), an international group formed in 1958 to ensure proper naming of enzymes and is the secretary of the IUPAC-IUBMB Joint Commission on Biochemical Nomenclature (JCBN).

Dr. Caspi received his B.Sc. cum laude in geology and biology from the Hebrew University in Jerusalem and his PhD in marine microbiology and molecular biology from the Scripps Institution of Oceanography, University of California in San Diego.

Key projects

The MetaCyc database of metabolic pathways and enzymes

The BioCyc collection of Pathway/Genome Databases

Recent publications

more +
  • BioCyc: Metabolic Pathway Databases and Informatics Tools

    This article describes a coordinated set of bioinformatics databases and software tools designed to solve multiple problems faced by metabolic engineers and microbiologists related to metabolic pathways.

  • The EcoCyc Database in 2021

    This article highlights recent improvements to the curated data in the areas of metabolism, transport, DNA repair, and regulation of gene expression.

  • Pathway Size Matters: The Influence of Pathway Granularity on Over-Representation (Enrichment) Statistics

    We show that alternative pathway definitions can alter enrichment p -values by up to nine orders of magnitude, whereas statistical corrections typically alter enrichment p -values by only two orders of magnitude.

  • Prediction of Selected Biosynthetic Pathways for the Lipopolysaccharide Components in Porphyromonas gingivalis

    We use bioinformatics tools to predict biosynthetic pathways for the production of the normal (O-type) lipopolysaccharide in the W50 strain Porphyromonas gingivalis and compare the pathway with other putative pathways in fully sequenced and completed genomes of other pathogenic strains.

  • The MetaCyc Database of Metabolic Pathways and Enzymes – A 2019 Update

    This article provides an update on the developments in MetaCyc during September 2017 to August 2019, up to version 23.1.

  • The MetaCyc database of metabolic pathways and enzymes

    This article provides an update on the developments in MetaCyc during the past two years, including the expansion of data and addition of new features.

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