Structural Genomics Software Provider

Structural Genomics Software Provider 424
Photo by: Dmitry Sunagatov



14001 South Lincoln Boulevard
San Diego, California 92101

Pharmatech Genomics is a license provider and application service provider (ASP) of structural genomics software. Structural genomics software helps scientists turn data from the Human Genome Project into drugs and cures for disease. Specifically, our technology enables the biotechnology industry to rapidly discover patentable lead compounds from unclassified gene sequences. We intend to capture a dominant market share by supplying an economical, yet powerful, analysis platform.


Pharmatech Genomics is a license provider and application service provider (ASP) of structural genomics software. Structural genomics software helps scientists turn data from the Human Genome Project into drugs and cures for disease. Specifically, our technology enables the biotechnology industry to rapidly discover patentable lead compounds from unclassified gene sequences. The platform consists of an online computing environment designed specifically to address every step of the post-genomic drug development path, from data visualization to structural analysis and protein engineering. We intend to capture a dominant market share by supplying an economical, yet powerful, analysis platform.


Pharmatech Genomics has a technology platform for structural genomics research that can be deployed within an enterprise network, over the Internet, or in a Virtual Private Network (VPN). Structural genomics is a field of research that is integral to the drug discovery and development process and promises to reduce the cost and time to market for drugs. However, the problem of maintaining and using the existing solutions is costly and time consuming. Pharmatech Genomics has a unique, cost-effective, integrative, and easy-to-use platform to address this problem. The platform consists of an "operating environment" and integrated software modules. Users can either license or subscribe to our technology and services in the following ways:

Our structural genomics platform will attract customers for the following reasons:

We will attract corporate partnerships for the following reasons:

Similar to how the now multi-billion-dollar, electronic CAD industry began, Pharmatech Genomics provides a way for cryptic, unfriendly, yet powerful software tools to reach a mass audience in the biotech industry. Many of these tools reside in university labs, where once developed, do not reach the biotech industry. Pharmatech Genomics provides interfaces to unfriendly structural analysis software and creates a channel of distribution for the software to reach a mass audience of users. We have first-to-market advantage in this area of biotechnology.

Revenue flows from direct subscription to online services including access to the technology platform and data hosting services. As an application service provider, Pharmatech Genomics prices services according to each user, enabling them to balance their financial and scientific needs. The base subscription includes use of the structural genomics platform, its core software modules, and basic data-hosting services. Upgrades are available for use of additional software modules and data-hosting. As integration experts, we work closely with customers should they prefer to use their own "in-house" software in an integrative platform. For a nominal integration and consulting fee, Pharmatech Genomics will integrate and host the customer's proprietary software within our "operating environment" for the sole use of the customer. Additional revenue streams include licensing fees for use of the platform in-house, custom consulting services, and Internet banner advertising. Pharmatech Genomics markets services through a direct sales force, focusing first on under-served sectors of the market. Long term, we have the domain expertise to develop proprietary software modules for use within the operating environment or for licensing outside. Through ongoing research, Pharmatech Genomics will remain at the forefront of structural genomics.


The Human Genome Project is nearly complete. Scientists are "mining" vast amounts of genetic information to identify disease-related genes. Sequencing the data, however, is only a small part of the research process. Once a gene has been identified, researchers are faced with the task of determining the structure and function of the protein product(s) encoded by the gene. It is the behavior of these proteins within the body that ultimately affects a person's health, and understanding its 3-D structure and function is the key to structural genomics. This "post-mining" phase is, and will continue to be, the bottleneck of most drug development efforts. By 2002, this process will cost pharmaceutical companies $32 billion per year, a 25 percent increase in spending from 1998 (Burrill & Company annual report, 1999).

The field of structural genomics describes the relationship between genomic sequences and 3-D protein structure and function. Using structural genomics software will significantly reduce the time and costs of development of new therapeutics by drug companies. Pharmatech Genomics' goal is to provide a computing environment that gives scientists the tools to efficiently and seamlessly go from sequence to lead compound.

Services Description

The Pharmatech Genomics' platform offers researchers a very high degree of flexibility in analysis tools and service. This flexibility enables customers to balance their scientific and financial needs. We will work with customers to integrate their proprietary software into our operating environment, thus allowing interoperability among proprietary and available software modules. The proprietary platform can be installed and maintained on an enterprise network or a virtual private network (VPN). Custom consulting services are available to organizations that request specific changes to the standard platform to meet internal infrastructure needs.

Pharmatech Genomics' customers have the option to securely perform analyses and then store the data on our systems. We have partnered with a software company whose unique approach to the ASP market space offers ASPs a privately-branded, turnkey solution that enables them to deliver applications over the Internet through any web browser. The company's proprietary, state-of-the-art technologies provide the ASP infrastructure and application service capabilities required for creating and launching application-service businesses in weeks. As an ASP hosting service, New Moon provides us with the following abilities:

These services remove the burden of having to maintain an in-house database, eases the flow of data from one site to another, and allows the users to access their data from any geographic location.

Through our online training environment, a technical support staff will be available to answer user questions at any time. Technical support and consultants will be available to customers using our platform or operating environment offline.

Technology Description

Our company's technology platform consists of a computing environment designed specifically to address every step of this post-genomic drug development path. The environment will perform the following tasks through integrated software modules.

A key feature is an integrated visualization interface to our operating environment deployable through a web browser. This interface allows the user to view multiple data types, provides necessary instruction and assistance, seamlessly connects the currently disjointed aspects of structural genomics analysis, and provides computer platform independence for the user. Further, our system allows the user to define the work environment according to their level of expertise by offering a variety of individual programs and interfaces. If the user is a neophyte to structural genomics analysis, the system will "walk" them through all the steps, setting defaults for noncritical variables and coaching them on how to set the critical variables in their analyses. If a user is an experienced structural genomicist, the system will provide them all the comfort of being able to manipulate every variable in the environment to their content.

The interface will also be highly customizable to meet the personalized demands of individual users. For example, an X-ray crystallographer might be interested in predicting potential lead compounds from a solved structure. For example, they may not need tools for building multiple alignments, so these tools, while available, would not maintain a high profile in their personal interface.

We are building an Internet-deployable operating environment that facilitates communication between independent software applications, the interface, and the user. The user is seamlessly provided with the tools needed to perform structural genomics research and will be free from the burdens of software, hardware, and database management. Building the packages into modules obviates the need to move between different file formats, interfaces, and platforms—increasing the overall efficiency of the drug development timeline and eliminating the need to build and maintain a large in-house bioinformatics infrastructure.

Not until recently did technology exist that enabled researchers to perform each of these individual steps. Currently, each step is independent and tenuously linked, using disparate interfaces and data output. Visualization of the module output is a key component of the user interface. The interface will be tailored for all ability levels from the novice to the expert.

Pharmatech Genomics' user interface will communicate with independent software modules developed by and licensed from various industrial and academic institutions. Tools will translate each module's data requirements into a common language and present them to the user through a single interface. With tools that translate the software's proprietary interface into a common language, the modules will be harnessed together to perform powerful structural genomic analysis. For example, starting from a DNA sequence, the interface will find related sequences from genomic data, model the structure of the resulting protein, and predict lead drug compounds using the modeled structure. Pharmatech Genomics' environment will have all the modules necessary for performing the tasks outlined in the previous section.

The environment has the following key features:


Our intellectual property revolves around the ability to seamlessly integrate the independent programs into a single package, as well as build a common language that allows module technologies to communicate with each other. While the environment is built around the idea of developing a sequence of unknown function into a profitable drug or something else of patentable value, the user can enter the analysis pathway at any point in the process with the guarantee that their needs will be met with our environment.


During discussions with the Office of Technology Management (OTM) at UCSD, Pharmatech Genomics has established favorable, but informal, licensing terms for our "core" software modules. Once a formal agreement is reached, Pharmatech Genomics expects to deploy the platform on the Internet in six to eight months. The licensing of these "core" modules from UCSD is necessary for a timely launch. Additionally, we will actively pursue strategic partnerships with commercial software vendors to obtain mutually agreeable licensing terms for their software modules.


We estimate the total number of people employed in biological research to be 1 million worldwide, with an active user base of 200,000. Research and Development personnel constitute roughly 40 percent of the total employees. Of all employees in R&D, about 50 percent will use structural genomics software. These users include protein engineers, computational biologists and chemists, structural biologists, chemists, organic chemists, geneticists, biophysicists, and bioinformaticists. These figures were obtained from the California Healthcare Institute's 1999 Report on Biotechnology and by directly polling the bioinformatics directors at several large pharmaceutical and biotech companies.

The revenue potential from this user base is $1.2 to $1.8 billion. This figure is derived by multiplying the cost of current applications (approximately $6,000/user/year; cost of a comparable software/service package) by the total estimated potential user base. Another measure of the market size was determined by evaluating the total amount spent on bioinformatics technologies by large pharmaceutical companies. In 1998, these large organizations spent $1.8 billion on enabling technologies (1998 Burrill & Company Biotechnology Report).

Market Segmentation

Our target market consists of biotechnology, pharmaceutical, and university organizations actively engaged in developing patentable drug-like compounds from unclassified gene sequences. The market can be divided into three sectors based on the number of employees per organization (these values are averages from five different biotech industry reports). Stratification according to the number of employees allows us to value the market and project our growth values according to the growth of the estimated user base. The figure below illustrates the current potential user base.

  1. Large pharmaceutical and biotechnology companies ( > 2,000 employees): These companies are often publicly traded and have large ($30-40 billion) R&D budgets—significant fractions of which are spent on enabling technologies. Percentage of R&D spending on outsourced technologies is steadily increasing ($15 billion in 1998). These companies demand cutting-edge and efficient applications. While the financial resources are usually not a constraining factor, location, number of concurrent users, security, maintenance, and upgrading are critical issues. The user base in this sector is projected to grow at a rate of 20 percent annually.
  2. Small to medium-sized companies ( < 2,000 employees): This market segment is currently underserved and is one of our primary target segments. Approximately 90 percent of all U.S. biotechnology companies (1,500 companies in 1999) lie in this sector. Seventy-five percent of all U.S. companies are private and have less than 50 employees. They represent a sizable potential market because of the increasing use of genetic data to find promising drug targets. While implementation issues do not necessarily constrain these users, the need for consistent access to economical yet functional analytical tools is important to these companies. Due to the increased need for visualization and analysis software in this segment, as well as the increase in the number of employees trained in structural genomics, it is expected that this sector will grow at 35 percent annually until 2005.
  3. Educational Institutions: The educational sector is a key to Pharmatech Genomics' success. Universities train and influence a large number of potential researchers but lack the unlimited funding of pharmaceutical companies. This situation demands that we meet their special needs for education and low-cost solutions. This sector will greatly benefit from a service that provides flexibility in the choice of analytical tools and pricing structures. The increased dependence and emphasis on structural genomics in both research and education will cause this sector to grow at a rapid rate (40% annually) until 2005.

Market Trends

The growing need for structural genomics applications is driven by several factors:

We expect an overall growth of approximately 29 percent annually until 2005; this was estimated based on the United States Labor and Statistics Department and the California Healthcare Institute's growth projections for employment in the biotechnology and pharmaceutical sectors until 2004. In that year our total potential user base will be 720,000 users with a projected value of $4.4 billion.

Marketing Strategy


Pharmatech Genomics will deploy over the Internet with universal browser compatibility. For in-house use of our platform or operating environment, software will be available via down-load or CD-ROM. Custom integration services will require on-site technical support and consulting. Our direct sales staff will contact interested researchers and negotiate the fee for services.

Competitive Analysis

The structural genomics applications industry is composed of several key corporations that provide competing software solutions. These providers sell their products to companies and university laboratories that can afford them or establish other types of cooperative agreements. More established solutions providers often partner, or are acquired by, pharmaceutical companies in order to obtain exclusive rights to critical software solutions, typified by Warner-Lambert's recent agreement to use Evos' discovery platform, or by U.S. Pharmacopeia's acquisition of Scientific Simulations, Inc. There is a substantial range in how these products are priced, and how cooperative research agreements are structured. At the simplest level, a customer can license copies of the software for their own use. Conversely, a software provider can allow a pharmaceutical or biotechnology company to license their software solution in exchange for shared royalties or intellectual property rights on commercially viable products that are discovered through its use.

Our competitors can be classified as non-ASP or ASP companies. Non-ASP competitors consist of companies that have an enterprise around building and distributing visualization and analysis software using traditional (softcopy) methods. These companies have necessary domain expertise to compete with us, but lack of flexibility in their software platforms, the inability to offer users economical and effective tools, and infrastructures incapable of supporting universal platform compatibility. ASP competitors have the necessary infrastructure to provide solutions, but lack the domain expertise to rapidly develop, market, and deploy a structural genomics platform. The table below illustrates each competitor's available toolset.

Structural Genomics Software Provider

Service/Toolset Pharmatech Genomics Evos MSG ABC SSI ST Akmer EGI
EGI = eGenomics, Inc.; SSI = Scientific Simulations, Inc.; MSG = Molecular Science Group; ST =
ASP = 0 Non-ASP=X 0 X 0 0 0 0 0 0
Offsite Data Hosting 0 X 0 0 0 0 0 0
Homology Building 0 X X X 0 X X 0
3-D Visualization 0 0 X X X X X X
Model Building 0 0 X X X X X X
Compound Libraries 0 0 0 X X X X X
Lead Compound Refinement 0 0 0 0 X X X X
Functional Analysis 0 0 0 0 X X X X
Pathway Visualization 0 0 0 0 0 0 X X
Protein Engineering 0 0 0 0 0 X X X
Custom Integration Services 0 X 0 0 0 X X X
Platform Independence 0 X 0 0 0 X 0 0
Low Cost 0 X 0 0 0 X X 0

Competitive Edge

Barriers to Entry

There are two dominant threats to Pharmatech Genomics' business model:

Current companies (SSI, Evos, etc.) might develop Internet deployable versions of their existing platforms.

  1. Pharmatech Genomics' built-in diversity of analytic tools gives users far more choices than any single competitor. As founding members of this project, we will develop many of these applications at the University of California, San Diego. As authors, we have first rights to license these applications for industry purposes. It is unlikely, therefore, that our competitors will be able to obtain these applications.
  2. There is significant first-mover advantage in this market. Our competitive edge (above) establishes natural barriers to secondary entrant into the market. In particular, the scaleability of the technology, the uniqueness of Pharmatech Genomics' toolset, and the short development times give the ability to rapidly adapt to any potential competitors. By the time a competitor moves into the space, Pharmatech Genomics will have obtained a dominant market share, established service-quality branding, and will retain it by continuously providing customers with the highest degree of flexibility in their choice of analysis tools.
  3. This is a scaleable business model in a number of ways. Pharmatech Genomics can rapidly increase its ability to serve larger numbers of users without incurring any redevelopment or infrastructure costs. We can also easily expand our service platform to include community-focused services (collaborative research portals, etc.) that would increase value to our users.
  4. All of the current systems are OS specific and are dependent on local hardware resources. It would require a large investment of time and personnel to re-engineer these systems to be web deployable.
  5. These competitors lack the infrastructure to develop themselves into an ASP. Current companies are built around systems that require local hardware support. Hence their sales, R&D, manufacturing, and support structures are built around distributing software in compact disc form, rather than deploying them over the Internet. We are not arguing that a shift from a traditional model to an ASP model is impossible, only that such a shift would require a significant restructuring and redevelopment time. Further, the company would have to split its resources into maintaining its legacy-based customer base and to attracting a new Internet user base.

New ASP competitors arise or current ASPs attempt to move into our space.

  1. Some of the applications included in this platform have been in development for over 20 years, while others have taken less than 2 or 3 years to develop. Once deployed, it would take a new entrant a long time to develop similar or stronger applications. Pharmatech Genomics would be the dominant application provider.
  2. We have an established domain expertise and the ability to rapidly update and develop user specific applications.


Pharmatech Genomics is seeking $5.1 million in first round funding. The majority of the funds would go toward developing proprietary technology, acquiring software licenses, and setting up infrastructure to deliver our services over the Internet. The following table details how the funds will be spent. Additional funding will be raised in the future.

Operating Expenses (in thousands)
Operating Expenses (in thousands)

Operating Expenses (in thousands)
Sales and Marketing  
Print 100.00
Public Relations 200.00
Banner Advertising 100.00
Strategic Advertising 300.00
Total $700.00
Computers 100.00
Utilities 30.00
Furniture 40.00
Total 170.00
CEO 120.00
Controller 80.00
CTO 100.00
VP Sales and Marketing 100.00
Sales and Marketing 1 60.00
Sales and Marketing 2 60.00
VP Business Development 100.00
Business Development 1 60.00
Business Development 2 60.00
VP of Engineering 100.00
Software Engineer (4) 320.00
Senior Scientist 100.00
Scientific Programmer (5) 400.00
Webmaster 60.00
Web Programmer 50.00
Database Administrator 90.00
Database Programmer 1 80.00
Database Programmer 2 80.00
Database Programmer 3 80.00
Systems Administrator 1 80.00
Systems Administrator 2 80.00
Admin 1 40.00
Admin 2 40.00
Q.A. 1 45.00
Q.A. 2 45.00
Total $2,430.00
Storage Databases (ORCL) 400.00
Computation Servers (DEC) 400.00
Total Technology $800.00
Licensing and Legal $1,000.00
Total Capital $5,100.00

General Financial Assumptions

Our assumptions are listed in the following table.

Structural Genomics Software Provider

Revenue Buildup Assumption 2000** 2001 2002 2003 2004
**assume software beta testing in 2000, year-to-date
Sales and Marketing Team 2 5 10 15 20
Accounts per Manager
Large Corp 1 3 4 5 5
Small to Mid 2 10 15 15 15
Academic 5 15 20 20 20
Users per Account
Large Corp 10 20 25 28 30
Small to Mid 2 8 10 12 15
Academic 20 40 60 65 70
Corporate Users 28 700 2,500 4,800 7,500
Past Users 28 728 3,228 8,028
Total 28 728 3,228 8,028 15,528
Academic Users 200 3,000 12,000 19,500 28,000
Past Users 200 3,200 15,200 34,700
Total 200 3,200 15,200 34,700 62,700
Pricing (including ASP, Data Hosting and Consulting)
Corporation - $2,000 $2,500 $3,000 $3,500
Academic - $200 $250 $300 $350
Corporation - $1,456,000 $8,070,000 $24,084,000 $54,348,000
Academic - $640,000 $3,800,000 $10,410,000 $21,945,000
Total - $2,096,000 $11,870,000 $34,494,000 $76,293,000

Key Assumptions

Financial Highlights

Based on the assumptions stated in the previous section, we note the following financial highlights. Please refer to the pro forma income statements, balance sheets, and cash flow statements for further detail.

Pro Forma Balance Sheet
Pro Forma Balance Sheet

Pro Forma Balance Sheet
Asset 2000 2001 2002 2003 2004
Cash $2,773,944 $10,384,852 $9,040,367 $13,680,908 $32,699,802
Total Short-term Assets $2,773,944 $10,384,852 $9,040,367 $13,680,908 $32,699,802
Long-term Assets
Capital Assets $600,000 $1,200,000 $2,200,000 $3,200,000 $4,200,000
Accumulated Depreciation ($120,000) ($360,000) ($800,000) ($1,440,000) ($2,280,000)
Total Long-term Assets
Total Assets $3,253,944 $11,224,852 $10,440,367 $15,440,908 $34,619,802
Liabilities and Capital - - - - -
Short-term Notes - - - - -
Long-term Liabilities - - - - -
Total Liabilities - - - - -
Earnings ($1,746,056) ($3,775,148) ($4,559,633) $440,908 $19,619,802
Shareholders' Equity $5,000,000 $10,000,000 $10,000,000 $10,000,000 $10,000,000
Total Equity $3,253,944 $6,224,852 $5,440,367 $10,440,908 $29,619,802
Total Liabilities and Equity $3,253,944 $6,224,852 $5,440,367 $10,440,908 $29,619,802

Pro Forma Income Statement
Pro Forma Income Statement

Pro Forma Income Statement
  2000 2001 2002 2003 2004
Revenue $0 $2,096,000 $11,870,000 $34,494,000 $76,293,000
Cost of Goods Sold $0 $628,800 $3,561,000 $10,348,200 $22,887,900
Gross Profit $0 $1,467,200 $8,309,000 $24,145,800 $53,405,100
Marketing and Sales Expenses $350,000 $838,400 $1,424,400 $3,104,460 $5,340,510
% of Total Revenue n/a 40% 12% 9% 7%
Marketing dollars spent per Business Development person $175,000 $167,680 $142,440 $206,964 $267,026
Development and Technology Expenses $900,000 $1,048,000 $4,154,500 $8,623,500 $11,443,950
% of Total Revenue n/a 50% 35% 25% 15%
General and Administration
Expenses (including salaries) $1,300,000 $2,430,000 $2,750,000 $3,000,000 $3,300,000
% of Total Revenue n/a 22% 10% 4% 4%
Other $136,240 $272,480 $1,187,000 $1,724,700 $3,814,650
% of Total Revenue n/a 13% 10% 5% 5%
Operating Profit ($2,686,240) ($3,121,680) ($1,206,900) $7,693,140 $29,505,990
  n/a -149% -10% 22% 39%
Taxes (assume 35%) $0 $0 $0 $2,692,599 $10,327,097
Net Income ($2,686,240) ($3,121,680) ($1,206,900) $5,000,541 $19,178,894

Structural Genomics Software Provider

  2000 2001 2002 2003 2004
Capital Expenditure $600,000 $600,000 $1,000,000 $1,000,000 $1,000,000
Year 1 $120,000 $120,000 $120,000 $120,000 $120,000
Year 2   $120,000 $120,000 $120,000 $120,000
Year 3     $200,000 $200,000 $200,000
Year 4       $200,000 $200,000
Year 5         $200,000
Total Depreciation $120,000 $240,000 $440,000 $640,000 $840,000

Pro Forma Cash Flow Tables
Pro Forma Cash Flow Tables

Pro Forma Cash Flow Tables
Cash Flow from Operating Activities 2000 2001 2002 2003 2004
Net Income (loss) ($2,686,240) ($3,121,680) ($1,206,900) $5,000,541 $19,178,894
Depreciation and Amoritization ($120,000) ($240,000) ($440,000) ($640,000) ($840,000)
Decrease (increase) in assets:
Accounts receivable $0 $0 $0 $0 $0
Prepaid Inventory $0 $0 $0 $0 $0
Inventory $0 $0 $0 $0 $0
Increase (decrease) in liabilities
Accounts payable $0 $0 $0 $0 $0
Net cash provided by (used in) operating activities ($2,806,240) ($3,361,680) ($1,646,900) $4,360,541 $18,338,894
Cash Flow from Investing Activities
Capital expenditures ($600,000) ($600,000) ($1,000,000) ($1,000,000) ($1,000,000)
Investments $0 $0 $0 $0 $0
Net cash used in investing activities ($600,000) ($600,000) ($1,000,000) ($1,000,000) ($1,000,000)
Cash Flow from Investing Activities
Borrow (repayments) $0 $0 $0 $0 $0
Issuance of preferred stock $5,000,000 $10,000,000 $0 $0 $0
Net cash (used in) provided by financing activities $5,000,000 $10,000,000 $0 $0 $0
Increase (decrease) in cash ($3,406,240) ($3,961,680) ($2,646,900) $3,360,541 $17,338,894
Cash beginning of period $0 $1,593,760 $7,632,080 $4,985,180 $8,345,721
Cash end of period $1,593,760 $7,632,080 $4,985,180 $8,345,721 $25,684,615


Eugene R. Mantella

Mr. Mantella is a doctoral candidate and member of the Laboratory for Molecular Studies at UCSD. He is one of the primary architects behind the GAECS algorithm, and has a significant amount of experience working in the pharmaceutical and bioinformatics industries. He is a co-founder of the non-profit organization "Entrepreneurs in Healthcare and Biotechnology" at UCSD, and regularly acts as a domain consultant to several leading life science investment firms in New York and the San Diego area.

F. Ray Smythe

F. Ray Smythe is a doctoral candidate in bioinformatics at UCSD. As a member of the BioT Group at Harvard University, Mr. Smythe develops novel algorithms and visualization tools for analysis of macromolecular structure and function. Mr. Smythe received a B.A. in Biochemistry and Molecular Cell Biology from U.C. Irvine. He has worked for large pharmaceutical companies, biotech start-ups, as well as a government-backed research effort focusing on the genetics of multiple sclerosis. He is a co-founder of the "Entrepreneurs in Healthcare and Biotechnology" at UCSD.

Beverly Johnson

Beverly Johnson is in the UCSD Graduate Group in Biophysics. She has a significant amount of experience in structural biology and enzymology. She has recently completed the X-ray crystallographic structure of granzyme B, a serine protease involved in T-cell immune response. She graduated with a degree in physics from the University of California at San Diego. Ms. Johnson is a founding member of the "Entrepreneurs" and has served as the student representative planning UCSD's newest course—From Idea to IPO...and Beyond. Her perspective regarding the needs of experimental research will be a driving force behind the implementation of our technology platform.

George Jamison

George Jamison is the 2002 American Cancer Society Joseph P. Henry Postdoctoral Fellow at Harvard University in the Departments of Medicine and Genetics. He holds a Ph.D. in Pharmaceutical Chemistry from the University of California, San Diego, and a B.S. with distinction from the University of Michigan. He is a member of the Phi Kappa Phi and Phi Beta Kappa national honor societies and has won several awards for his work, including the Jacob N. Napier award for research in physical chemistry and the ARCS award for student scientists. As a researcher, he has worked at the National NMR Center in Madison, Wisconsin, the Computer Graphics Laboratory (now the Resource for Biocomputing, Visualization, and Informatics) at UCSD, and the Section on Medical Informatics at Harvard University.


Why We Will Succeed

Pharmatech Genomics has proven domain expertise in developing structural genomics software. Our team members have advanced backgrounds in computer science, structure-based drug design, and structural biology. Software tools in our technology suite were developed by several of our team members. We have the necessary relationships within the structural genomics community to identify and license or build relevant technologies.

Pharmatech Genomics' scientific advisors include faculty at the University of California Irvine, the University of California, San Diego, and Harvard University. Other advisors include prominent venture capitalists, a seasoned equity analyst with a leading investment bank, and the CEO and CFO of a mid-sized biotechnology company. These individuals will continue to guide the development of this company through all stages of its growth.

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