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Systems Biology for Drug Discovery. 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

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Systems biology for drug discovery

Systems Biology for Drug Discovery


Lien Chung

Company overview
Company Overview

  • Locations:St. Joseph, MI;

    San Diego, Ca; Moscow, Russia

  • Founded:2000

  • Technology:Systems Reconstruction

  • Software:MetaCoreTM, MetaDrugTM

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


  • Hwa Lim, PhD

    Chairman of the Board

  • Tatiana Nikolskaya

    Chief Scientific Officer (CSO) and Founder

  • Sean Ekins, PhD

    Vice President of Computational Biology

  • Andrei Bugrim, Ph.D.

    Chief Operating Officer (COO)

  • Julie Bryant

    Vice President, Development and Sales

Motivations for systems biology approach
Motivations for Systems Biology Approach

Road Blocks:

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

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

Systems Biology Solution:

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

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

Metacore tm a database of human metabolism and regulation
MetaCoreTMA Database of Human Metabolism and Regulation

  • Unique pathway-centered structure built upon Oracle databases

  • Pathways generated from the incorporation of various high-throughput sources

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

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

Metacore tm

Types of HT sources


Microarray Expression Data

Protein interaction data


Phenotypic Data


Disease Databases

Types of visualizations
Types of Visualizations

  • Tissue-specific maps

  • Metabolic pathways

  • Cell-signaling pathways

  • Regulatory networks

  • Toxicity data and pathways

  • Disease data

Metadrug tm

  • Currently under development

  • Software tool for drug prediction and ADME/Tox in-silico testing

  • Will provide information about xenobiotic metabolism (fate of foreign compounds in body)

  • Software for predicting toxicity of potential drugs

Superiority to competitors
Superiority to Competitors

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

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

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

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

Genego s market
GeneGo’s Market

  • Biotech Companies

  • Pharmaceutical Companies

  • Private Research Institutions

  • Educational Institutions

Genego s future
GeneGo’s Future

  • Release of MetaDrug will boost it’s financial outlook

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

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

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