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Iconix Pharmaceuticals: Bridging Genomics and Chemistry
 
By Anil Sehgal, Ph.D.
  • Iconix Pharmaceutics (Mountain View, CA; www.iconixpharm.com) is a privately held pharmaceutical company focusing in the area of chemogenomics.
  • Chemogenomics integrates tools and technologies of chemistry and genomics to profile drug candidates for their mechanisms of action and safe advancement for therapeutic development. Iconix's chemogenomic capabilities enable pharmaceutical companies to increase the odds of advancing the right compounds to the clinic, reducing attrition rates and the costs of drug discovery.

Introduction
The process of drug discovery and development takes approximately 10 years and over $800 million. In the past decade, several drugs have been taken out of the pipeline either early in the discovery process, during clinical trials, or post-marketing. In the majority of these cases, these drugs had some adverse effects or toxicity associated with them. This has resulted in the loss of millions of dollars for pharmaceutical companies. Such huge capital loss can be avoided, and successful drugs with minimal or no toxic effects can be developed, if the mechanism of drug action is well-defined early in the discovery or development process. Chemogenomics is a discipline that is determined to address this question in a robust fashion. Chemogenomics leverages advancements that have been made in the areas of genomics (especially gene expression and bioinformatics) and chemistry to study, evaluate, and potentially predict the effects of a candidate compound on all pathways in a complete biological system. Iconix Pharmaceuticals has made tremendous advances in the areas of chemogenomics to qualify drug candidates and predict their potential mechanisms early in the drug development progress.

Corporate Information
Iconix Pharmaceutics was founded in 1998 as a spin-off from Microside Pharmaceuticals under the directorship of Keith A. Bostian, Ph.D. Dr. Bostian is the company's original founder and was formerly President and Chief Executive Officer. Dr. Bostian was also founder, Chief Operating Officer, and Director of Microside Pharmaceuticals and now Essential Therapeutics (Waltham, MA). He was Executive Director of Microbiology and Molecular Genetics at Merck Research Laboratories, from 1987-1992. Mr. Jim Neal joined Iconix Pharmaceuticals in June 2002 as Chief Executive Officer. Prior to joining Iconix, Mr. Neal was Executive Vice President responsible for Sales, Marketing, and Business Development and a member of the Executive Team at Incyte Genomics (Palo Alto, CA). Mr. Neal led a group of over 100 people responsible for Incyte's global commercial activities with clients and collaborators. David J. O'Reilly is the Chief Business Officer for Iconix Pharmaceutics. Mr. O'Reilly joined Iconix as Vice President of Corporate Development during the founding of the company in 1998. Prior to this, he was an executive at ARIAD Pharmaceuticals (Cambridge, MA), where he was responsible for partnerships and licenses with pharmaceutical, biotechnology, and academic organizations. Leslie J. Browne, Ph.D., is the Chief Operating Officer for Iconix. Previously, Dr. Browne was the Chief Operating Officer at GeneTrace, a functional genomics company developing products and services in drug discovery research. Before that, he spent over a decade at Berlex/Schering AG, most recently as Corporate Vice President, Berlex Laboratories, and President of Schering Berlin Venture Corporation. Additional distinguished members include Kurt Jarnagin, Ph.D., Vice President, Biological Sciences and Chemical Genomics; Alan H. Roter, Ph.D., Vice President of Informatics; and Alan Engelberg,Vice President, Product Management.

The scientific advisory board of Iconix consists distinguished scientists including Patrick O. Brown, Ph.D., Professor, Department of Biochemistry, and Investigator, Howard Hughes Medical Institute, Stanford University School of Medicine; John C. Chabala, Ph.D., Formerly President, Chief Scientific Officer and Director, Pharmacopeia; Frank McCormick, Ph.D., F.R.S., Director, UCSF Cancer Center; Roy G. Smith, Ph.D., formerly Vice President of Basic Research, Merck Research Laboratories; and Kenneth S. Zaret, Ph.D., Senior Member, Cell and Developmental Biology Program, Fox Chase Cancer Center, Philadelphia, PA.

Iconix currently has approximately 60 employees with the majority of them holding a Ph.D. in the areas of Pharmacology, Biology, and Chemistry.

Financial Analysis
Iconix is a privately held company that has been financed by the venture capital firms Abingworth Management, Institutional Venture Partners, and Kleiner Perkins Caufield and Byers. In addition, the company has received equity financing from its strategic partners, Motorola, Incyte Genomics, and MDS Pharma Services. To date, Iconix has raised approximately $100 million U.S. dollars.

Research and Development Activities
Iconix is pioneering the new field of chemogenomics. Chemogenomics integrates tools and technologies of chemistry and genomics to profile a drug candidate's mechanisms of action. Previously, drug compounds were advanced through the pipeline based on a few tests that were performed in standard pharmacology. Standard pharmacological approaches provided very little information on the mechanisms that are set forth by the compound at the molecular level in vivo. Additionally, it has not been possible, to date, to predict the mechanisms of unknown drugs based on their structure. Iconix's chemogenomic capabilities enable pharmaceutical companies to study and predict the mechanisms of drug action early enough in the process to make critical decisions on drug candidates.

The approach that Iconix has taken is quite simple but does provide incredible in-depth information and predicting power regarding the activity of a compound in an intact in vivo environment. To date, the company has selected 600 environment. To date, the company has selected 600 compounds that are toxicological standards or drugs that are well-known and are either going through clinical trials, approved by the Food and Drug Administration (FDA), or currently being marketed. These represent structural and mechanistic diversity of 2000 compounds, including approved drugs, failed drugs, standard toxicants, and biological standards. The company is studying the effect of these drugs in different organs by generating highly enriched gene expression profiles. The gene expression is further classified by generation of chemogenomic signatures unique for each compound. Thus, in a typical experiment, rats were given a compound orally at a concentration that was selected based on the literature. In a majority of the cases, a maximum tolerated dose is selected to generate expression profiles and signatures. The drug is given daily for 5 days, and animals are watched for weight loss. Twelve different tissues are then harvested, and RNA from selected tissues is isolated for labeling to hybridize to a microarray slide. Using a CodeLinkTM ing CodeLink array system (Amersham Biosciences, Piscataway, NJ) that contains 10,000 genes (3500 well-characterized genes and 6500 expressed sequence tags [ESTs]), a gene expression profile is generated. After performing sophisticated informatics, Iconix has generated specific gene expression profiles termed as signatures. These signatures represent a collection or families of clusters of genes expressed (up- or down-regulated) in a unique manner. These signatures are stored in a database and serve as a reference and learning set to profile future drug candidates.

Iconix provides reference systems and know-how to predict toxic liabilities and side effects of drug candidates and to determine if they are on or off target. In addition to generating gene signatures, pharmacology and blood chemistry tests are performed on these rats, and then the tissues are frozen. Changes in blood chemistry, the histopathology, the relevant literature on the drug candidates, and biochemical assays are all critical components in generating a reference learning set. All this enriched data is then organized into an integrated database architecture to bridge genomics and drug design, novel bio- and chemoinformatics software, and advanced expression array and cellular assay development capabilities. This searchable database is termed DrugMatrix™. DrugMatrix provides drug designers with a uniform source of chemogenomic information on benchmark drugs and toxicants and analytical tools and data mining algorithms to optimize drug candidates and predict their potential efficacy and toxicity before they advance to expensive preclinical and clinical development studies. All benchmark drugs in DrugMatrix are profiled in an extensive series of large-scale gene expression microarray, in vivo histopathology, molecular pharmacology, and literature curation studies performed by Iconix. Based on the data in DrugMatrix, the company has mined out a library of Drug Signatures™, which are genomic patterns that are predictive of specific forms of toxicity and mechanisms of action.

With so many drugs entering into the drug development steps, it is critical to understand the potential toxicity and adverse pharmacological effects that they may have sooner rather than later. There also lies the possibility of refining the structure of the compound to reduce or eliminate adverse effects. DrugMatrix provides a collection of signatures that can predict the potential chemogenomic effects of unknown and new chemical entities. The company has reported that, based on the analysis of drug signatures, they have been able to correctly call the mechanism of unknown drug action and potential toxicological liabilities. It has to be pointed out that it is not solely the gene expression patterns that are driving chemogenomics to define the mechanism of action, but also the enriched pharmacological and pathological information generated as part of DrugMatrix. Iconix has recently initiated collaborations with the FDA to provide them access to DrugMatrix and the company's expertise in the area of chemogenomics, thus enabling the FDA to prepare guidelines for sponsors in the use of genomic data.

 


Additional Literature on Chemogenomics

  1. Huang Y, Sadee W. Drug sensitivity and resistance genes in cancer chemotherapy: a chemogenomics approach. Drug Discov Today 2003;8:356-363. 2003;8:356-363.
  2. Schuffenhauer A, Floersheim P, Acklin P, Jacoby E. Similarity metrics for ligands reflecting the similarity of the target proteins. J Chem Inf Comput Sci 2003;43:391-405.
  3. Nislow C, Giaever G. Chemogenomics: tools for protein families, and chemical genomics: chemical and biological integration. Pharmacogenomics 2003;4:15-18.
  4. Nguyen C, Teo JL, Matsuda A, et al. Chemogenomic identification of Ref-1/AP-1 as a therapeutic target for asthma. Proc Natl Acad Sci USA 2003;100:1169-1173. 2003;100:1169-1173.
  5. Shokat K, Velleca M. Novel chemical genetic approaches to the discovery of signal transduction inhibitors. Drug Discov Today 2002;7:872-879.
  6. Ashton GH, McGrath JA, South AP. Strategies to identify disease genes [review]. Drugs Today (Barc) 2002;38:235-244. 2002;38:235-244.
  7. Bleicher KH. Chemogenomics: bridging a drug discovery gap. Curr Med Chem 2002;9:2077-2084.

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