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EcoCyc is an extensive bioinformatics resource that serves as an encyclopedia for E. coli, integrating diverse data from molecular biology, genome sequences, and metabolic pathways. Developed by Peter D. Karp, Ph.D., and his team, EcoCyc offers tools for managing, analyzing, and visualizing biological data, making it essential for researchers in the field. With features like the Pathway/Genome Navigator and detailed pathway visualization, users gain insights into the metabolic networks of E. coli and can leverage high-throughput biology techniques for advanced research.
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Pathway/Genome Databases and Software Tools Peter D. Karp, Ph.D. Bioinformatics Research Group SRI International pkarp@ai.sri.com http://ecocyc.DoubleTwist.com/ecocyc/
Overview • Overview of bioinformatics • Motivations for the EcoCyc project • EcoCyc demo • Description of EcoCyc database and Pathway Tools software • Underlying technologies • Ocelot object database • GKB Editor • X-windows to WWW translator
Definition of Bioinformatics • Computational techniques for management and analysis of biological data and knowledge • Methods for disseminating, archiving, interpreting, and mining scientific information
Motivations for Bioinformatics • Growth in molecular-biology knowledge • Industrialization of biological experimentation • High-throughput biology • Genome sequences • Gene and protein expression data • Protein-protein interaction data • Protein 3-D structures • ….
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Motivations for EcoCyc -- E. coli Encyclopedia • Integrate E. coli information dispersed in the literature • New paradigm of scientific publishing • Model the full metabolic network of an organism • Integrate genomic data with functional data • Develop algorithms for computing with function • Provide a challenging domain for computer-science research
Definitions A C E • A chemical reaction interconverts chemical compounds • An enzyme is a protein that accelerates chemical reactions • A pathway is a linked set of reactions • A conceptual unit of cell’s biochemical machine A + B = C + D
Organism-Specific Pathway/Genome Databases • Layer functional information above the genome • Rich ontology to encode biological information with high fidelity • Chromosomes, genes, operons, gene products, reactions, pathways • Curated by experts for that organism • Integrate literature and computational predictions
Pathway Tools Software • Pathway/Genome Navigator • WWW publishing of PGDBs • Graphic depictions of pathways, chromosomes, operons • Pathway visualization of gene-expression data • Pathway/Genome Editors • Distributed curation of genome annotations • Distributed object database system • Interactive editing tools • PathoLogic • Prediction of metabolic network from genome
EcoCyc = E.coli Dataset + Pathway/Genome Navigator Operons: 375 Metabolic Network Pathways: 158 Reactions: 1,117 Compounds: 1,887 Gene Products: 4,393 Genes: 4,393 http://ecocyc.DoubleTwist.com/ecocyc/
EcoCyc • Collaborative development via internet • Karp -- Bioinformatics architect • Riley -- Metabolic pathways, signal transduction • Saier and Paulsen -- Transport • Collado -- Regulation of gene expression • Ontology of 1000 biological classes • 14,000 instances • Over 2,600 registered users
Pathway Tools Software Pathway/Genome Navigator Pathway/ Genome Databases PathoLogic Pathway Predictor Pathway/ Genome Editors
Creation of the Overview Graph • Run layout algorithms on individual pathway graphs • Automatically determine topology of pathway graph • Apply associated layout algorithm (linear, circular, tidy tree) • Use superpathways to create hierarchical layouts • Treat each individual pathway as a single node • Pathway connections are edges • Run appropriate layout algorithm • Manually position the resulting pathway clusters
Inference of Metabolic Pathways ANNOTATED GENOME Structured ASCII Text File List of Gene Products List of Genes/ORFs DNA Sequence Pathway/Genome Database MetaCyc Metabolic Network Pathway PathoLogic Compounds Reactions Gene Products Genes Reports Genomic Map
Summary of H. pylori Analysis • For 121 E. coli pathways, what is the evidence that each pathway occurs in H. pylori? • Strong evidence: 41 • Medium evidence: 29 • Little or no evidence: 51 • 31 reactions catalyzed by H. pylori but not by E. coli • H. pylori has partial abilities to synthesize cofactors and amino-acids, extremely limited carbohydrate catabolism, some amino acid utilization, and a reductive citric-acid pathway
Microbial Pathway/Genome DBs Literature-based Datasets: • MetaCyc • Escherichia coli PathoLogic-based Datasets: • Bacillus subtilis • Mycobacterium tuberculosis • Helicobacter pylori • Haemophilus influenzae • Mycoplasma pneumonia • Treponema pallidum • Chlamydia trachomatis • Saccharomyces cerevisiae
Pathway Tools Software Architecture • Implemented in Common Lisp • WWW server runs as a single Unix process with a separate thread to service each query • Grasper-CL graph manager • Ocelot object database • GKB Editor schema-driven editor
Pathway Tools Architecture --Development Configuration WWW Server X-Windows Graphics Object Editor Pathway Editor Reaction Editor GFP API Oracle Pathway Genome Navigator Ocelot DBMS
Ocelot Database System • Object Database Manager • Persistence via filesystem or relational DBMS • Demand and background faulting of objects from RDBMS • Two-level object caching • Extensive bioinformatics schema • Stored transaction history • Inspect object history
Ocelot Knowledge Server Architecture • Frame data model • Persistent storage via • Disk files • Oracle DBMS • Optimistic concurrency-control protocol • Schema evolution • Logging facility
The Frame Data Model • Frames are of two types: classes, instances • Frames have slots that define their properties, attributes, relationships • A slot has one or more values • Each value can be any Lisp datatype • Slotunits define metadata about slots: • Domain, range, inverse • Collection type, number of values, value constraints
Inference Capabilities • Inheritance of defaults • Slot values computed via attached procedures • Maintenance of inverse relationships • Constraint system • Deferred evaluation • Tolerant of nonconformant data
Storage System Architecture • Oracle KBs • DBMS is submerged within FRS • Relational schema is domain independent, supports multiple KBs simultaneously • Frames transferred from DBMS to Ocelot • On demand • By background prefetcher • Memory cache • Persistent disk cache to speed performance via Internet
Frame Faulting (get-slot-value gene ‘map-position) • Gene present in in-memory object cache? • Gene present in cache on local disk? • Query Oracle DBMS
Logging • Oracle DBMS stores: • The latest version of each frame • A history of all OKBC operations applied to KB • Reconstruct earlier versions of KB • View history of changes to an object • Update replicates • Concurrency control
Schema Management • FRSs store and process class and instance information similarly • Applications can query schema information as easily as they can query instances
GKB Editor • Browser and editor for KBs and ontologies • Four editing tools • GKB Editor reusable with multiple FRSs • All database queries via OKBC/GFP API • Interoperability achieved with Ocelot, LOOM, Ontolingua • All operations are schema driven • http://www.ai.sri.com/~gkb/overview.html
Editors • Taxonomy editor • Frame editor • Relationships editor • Spreadsheet editor
Results • Ocelot in use in the EcoCyc project for 5 years • Supports collaborative development of EcoCyc by four groups in North America • Distributed architecture • GKB Editor in active use • Supports development of 8 Pathway/Genome Databases
Summary • Pathway/Genome Databases • Pathway Tools software • Extract pathways from genomes • Distributed curation tools • Query, visualization, WWW publishing • Analysis algorithms
Computer Science Results • Extend scalability and multiuser access for knowledge representation systems • Reusable, schema-driven KB editor • Hierarchical graph layout algorithms • Dynamic translation from X-windows to HTML+GIF • Importance of ontologies and of content: • Discovery = Algorithm + Database
Problem Solving Depends onAlgorithms and Content Compute Time Algorithm Quality Solution Quality Database Size and Quality
Bioinformatics Results:Content • The EcoCyc database describes the full metabolic map of an organism • The MetaCyc database describes over 300 metabolic pathways • Ontology spans genome to pathway information
Bioinformatics Results:Algorithms • Software environment for genome and pathway information • Query and visualization • Distributed database development • PathoLogic algorithm predicts the metabolic network of an organism from its genome • Algorithms under development for qualitative modeling of the cell
Acknowledgements • Funding sources: • NIH National Center for Research Resources • Collaborators: • Monica Riley, Marine Biological Laboratory • Milton Saier, UC San Diego • Julio Collado, UNAM • Christos Ouzounis, European Bioinformatics Institute Peter D. Karp, Ph.D. http://www.ai.sri.com/pkarp/ pkarp@ai.sri.com