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Systems Biology for Drug Discovery

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Systems Biology for Drug Discovery. www.GeneGo.com. SoCALBSI 2004. Lien Chung. Company Overview. Locations: St. Joseph, MI; San Diego, Ca; Moscow, Russia Founded: 2000 Technology: Systems Reconstruction Software: MetaCore TM , MetaDrug TM - PowerPoint PPT Presentation
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Systems Biology for Drug Discovery Systems Biology for Drug Discovery SoCALBSI 2004 www.GeneGo.com Lien Chung
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Page 1: Systems Biology for Drug Discovery

Systems Biology for Drug DiscoverySystems Biology for Drug Discovery

SoCALBSI 2004

www.GeneGo.com

Lien Chung

Page 2: Systems Biology for Drug Discovery

Company OverviewCompany Overview

Locations:Locations: St. Joseph, MI;St. Joseph, MI;

San Diego, Ca; Moscow, RussiaSan Diego, Ca; Moscow, Russia Founded:Founded: 20002000 Technology:Technology: Systems ReconstructionSystems Reconstruction Software:Software: MetaCoreMetaCoreTMTM, MetaDrug, MetaDrugTMTM

PartnersPartners:: SDSC, Affymetrics, Pathway SDSC, Affymetrics, Pathway Diagnostics, Invitrogen, Michigan Center Diagnostics, Invitrogen, Michigan Center for Biological Information (MCBI)for Biological Information (MCBI)

Page 3: Systems Biology for Drug Discovery

ManagementManagement Hwa Lim, PhDHwa Lim, PhD

Chairman of the BoardChairman of the Board Tatiana NikolskayaTatiana Nikolskaya

Chief Scientific Officer (CSO) and FounderChief Scientific Officer (CSO) and Founder Sean Ekins, PhD Sean Ekins, PhD

Vice President of Computational BiologyVice President of Computational Biology Andrei Bugrim, Ph.D.Andrei Bugrim, Ph.D.

Chief Operating Officer (COO)Chief Operating Officer (COO) Julie BryantJulie Bryant

Vice President, Development and SalesVice President, Development and Sales

Page 4: Systems Biology for Drug Discovery

Motivations for Systems Biology ApproachMotivations for Systems Biology Approach

Advent of high-throughput technologies have led an Advent of high-throughput technologies have led an enormous amount of disease-related HT data that need to enormous amount of disease-related HT data that need to be mined for informationbe mined for information

Drug discovery progressing slowly because of inability to Drug discovery progressing slowly because of inability to link genotypic data to phenotypic manifestationslink genotypic data to phenotypic manifestations

Road Blocks:

Systems Biology Solution:

Construction of networks and pathways to show Construction of networks and pathways to show interactions between genes, proteins, and metabolites interactions between genes, proteins, and metabolites involved in the diseased stateinvolved in the diseased state

Knowledge of mechanisms and metabolic pathways helpful Knowledge of mechanisms and metabolic pathways helpful in identifying biomarkers, developing new therapeutic in identifying biomarkers, developing new therapeutic targets, and elucidating disease pathwaystargets, and elucidating disease pathways

Page 5: Systems Biology for Drug Discovery

MetaCoreMetaCoreTMTM

A Database of Human Metabolism and A Database of Human Metabolism and RegulationRegulation

Unique pathway-centered structure built Unique pathway-centered structure built upon Oracle databasesupon Oracle databases

Pathways generated from the Pathways generated from the incorporation of various high-throughput incorporation of various high-throughput sourcessources

Can integrate user’s own HT data and Can integrate user’s own HT data and overlay them onto existing pathwaysoverlay them onto existing pathways

Ability to edit existing pathways according Ability to edit existing pathways according to user-defined parameters to user-defined parameters

Page 6: Systems Biology for Drug Discovery

MetaCoreMetaCoreTMTM

Microarray Expression Data

LiteratureProtein

interaction data

SAGE

Disease Databases

Phenotypic Data

Types of HT sources

Page 7: Systems Biology for Drug Discovery

Types of VisualizationsTypes of Visualizations

Tissue-specific mapsTissue-specific maps Metabolic pathwaysMetabolic pathways Cell-signaling pathwaysCell-signaling pathways Regulatory networksRegulatory networks Toxicity data and pathwaysToxicity data and pathways Disease dataDisease data

Page 8: Systems Biology for Drug Discovery

Regulatory Pathways w/ HT Data

Page 9: Systems Biology for Drug Discovery

Visualization of Networks

Page 10: Systems Biology for Drug Discovery

Disease MapsDisease Maps

Page 11: Systems Biology for Drug Discovery

MetaDrugMetaDrugTMTM

Currently under developmentCurrently under development Software tool for drug prediction and Software tool for drug prediction and

ADME/Tox ADME/Tox in-silicoin-silico testing testing Will provide information about xenobiotic Will provide information about xenobiotic

metabolism (fate of foreign compounds in metabolism (fate of foreign compounds in body)body)

Software for predicting toxicity of potential Software for predicting toxicity of potential drugsdrugs

Page 12: Systems Biology for Drug Discovery

Superiority to CompetitorsSuperiority to Competitors

Tools to incorporate one’s own high-Tools to incorporate one’s own high-throughput data and dynamically visualize throughput data and dynamically visualize on maps and pathwayson maps and pathways

User has full control of the parameters of User has full control of the parameters of the data mining procedurethe data mining procedure

User can Add/Edit protein or gene User can Add/Edit protein or gene interactions and add referencesinteractions and add references

Non-redundancies, more than 10,000 Non-redundancies, more than 10,000 synonyms resolved synonyms resolved

Page 13: Systems Biology for Drug Discovery

CompetitorsCompetitors

Page 14: Systems Biology for Drug Discovery

GeneGo’s MarketGeneGo’s Market

Biotech CompaniesBiotech Companies Pharmaceutical CompaniesPharmaceutical Companies Private Research InstitutionsPrivate Research Institutions Educational InstitutionsEducational Institutions

Page 15: Systems Biology for Drug Discovery

GeneGo’s FutureGeneGo’s Future

Release of MetaDrug will boost it’s Release of MetaDrug will boost it’s financial outlookfinancial outlook

Technology and software is unique but it Technology and software is unique but it needs to make partnerships in order to needs to make partnerships in order to expand its clienteleexpand its clientele

Expanding beyond creating databases Expanding beyond creating databases may also attract other types of investorsmay also attract other types of investors

Possible merging with a big company may Possible merging with a big company may be necessary to sustain their presencebe necessary to sustain their presence


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