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There is more to the human genome project than drug therapies. The CellWorld™ strategy is to develop four new stand-alone technologies, that when combined create a new biomedia experience. The common theme is communication.
The four enabling technologies are:
Technology 1: Knowledge Mapping
Technology 2: Animating Biological Pathways
Technology 3: RenderBank™ Biomolecular Ray Tracing
Technology 4: Gene Navigator: Interactive Chromosome Rendering & Sonics
Technology 1: Knowledge Mapping Shows The Answer
Our long term objective
is to create cellscapes for CellWorld that are factual, detailed and vivid.
According to Richard Drake, Ph. D. Biochemist at UAMS, "The cure to cancer
has already been discovered, we just don't know it yet."
Too much information in too
many places. The past two decades of computer science teaches that the best
approach to solving new problems is a combined approach.
Naive data-mining and text analysis produces, cluttered, blurred and indefinite
results. One cannot throw English text at a machine and expect crisp and clear
reasoning to emerge. Fact extraction requires an interactive participation of
human experts. Knowledge mapping provides the informational road map required
to navigate the incredibly rich space of genetic and biological knowledge.
There are many ways to graph things, but only a few effective ones. Years of
experience have shown us the visual representations that work best.
Remember: KM Shows the Answer
Applications: Gene hunting. Cell Process Mapping
Deployment: This will become a 3D graphical search engine, users will list with
the search engine by providing content mapped using tools we provide, compatible
with Netscape and Explorer, Windows and MacOS.
Startup Requirements: 4 developers
+ 1 technical director
Startup Timeframe: Winter 2001
Market: Everyone Who Uses Biotechnology Knowledge
Technology 2: Animated Biochemical, Genetic and Signaling Pathways
The world's knowledge about the fate of biomolecules is represented as complex printed schematics. The difficulty with these metabolic blueprints is that they consume a large amount of visual real-estate, they are static, and they require manual reading to understand. This manual reading is time-intensive and results in an understanding limited by persistence of memory .
These three problems can be solved by animating the fate of specific substances. Animations can produce a sixteen fold reduction in visual real-estate requirements while simultaneously eliminating the need for manual reading. Mere observation of these animations transmits in seconds, understanding that formerly required weeks of manual reading. A famous SIGGRAPH animation showed the tomato bush stunt virus in all the splendor of its icosahedral geometry, unfolding one section at at time. In 3 minutes, 2000 people knew the same structural relationships that took a group of scientists 20 years to uncover. This is leverage.
This has also been demonstrated by examples created by WDV, such as glycolysis pathway, isoprenoid biosynthesis pathway and others.
There are three kinds of pathways:
Metabolic Pathways
Gene Expression Pathways
Signal Transduction Pathways
Applications: Cellular Simulation,
Disease Understanding
Product: A set of interactive and recombinable animations.
Approach: Off the Shelf Tooling combined with Off
the Shelf Data to produce QuickTime movies and modular molecular datasets.
Startup Requirements: 4 developers
+ 1 technical director
Startup Timeframe: Winter 2001
Market: Biotechnology, Medicine, Education
Technology 3: RenderBank™ Biomolecular Ray Tracing
Viewing Planet Cell
According to Moore's Law, "Computer price-performance doubles every 18 months." That means one of two things:
1) the performance of a computer
of a given cost doubles or
2) the cost of a computer of a given performance
halves
and this takes place every year and a half.
A factor of two is noticable, but
the accumulation of performance is spectacular. In fifteen years, ten doublings
produces a speed-up (and/or cost-down) of over a thousand (2^10 = 1024.)
This exponential growth in computer capability is enabling new approaches to image generation and visual realism.
We propose the creation of a "RenderBank", a set of 1024 Gigahertz class workstations that will be used to provide real time ray tracing of complex molecular models for direct production work. The image generation of ray tracing is perfect for the virtual worlds that must be created to convey the cellscapes of CellWorld™. The widespread availability of public domain rendering software and the falling cost of computers makes this a practical solution.
RenderBank will be used in three modes:
Mode One: Real Time Molecular Modeling for CellWorld™ Scene Construction
Mode Two: High Resolution Scene Rendering for 35mm Movie Production
Mode Three: System Rental to Biotechnology Investigators
Startup Requirements: 4 developers
+ 1 technical director
Startup Timeframe: Winter 2001
Market: Biotechnology, Medicine, Education, Entertainment
RenderBank Phase
In Plan:
Generation | Processors | Date | Staff | Cost | Task |
0 | 1 | Sep-2000 | 1 | $1,500 | develop brokers |
1 | 2 | Oct-2000 | 2 | $2,622 | test CORBA brokers |
2 | 4 | Dec-2000 | 4 | $4,582 | scale RenderBank |
3 | 8 | Jan-2001 | 4 | $8,009 | " |
4 | 16 | Feb-2001 | 6 | $13,998 | " |
5 | 32 | Mar-2001 | 6 | $24,467 | " |
6 | 64 | Apr-2001 | 6 | $42,763 | " |
7 | 128 | May-2001 | 8 | $74,742 | " |
8 | 256 | Jun-2001 | 8 | $130,636 | " |
9 | 512 | Jul-2001 | 8 | $228,328 | " |
10 | 1024 | Aug-2001 | 10 | $399,076 | scale RenderBank |
* Incurred Cost Assumes Moore's Law Remains In Force (true since 1978) |
The system will be
grown in powers of two system to minimize integration costs and exploit Moore's
Law during phase-in.
An example animation has already been developed using this technique.
Technology 4: Gene Navigator: Interactive Chromosome Rendering & Sonics
As large DNA sequences become available, new interactive tools will be required that enable chromosomes to be drawn and heard in novel and imaginative ways.
Thirty five percent of the human genome consists of repeated, nonfunctional sequences called ALU repeats. An interactive chromosome drawing program would abbreviate and compress the drawing where these repeats occurred by substituting special colored symbols. The consecutive identification and illustration of the genome using such symbols creates a valuable asset to genome explorers.
An additional sixty percent of the
human genome does not code for protein, but consists of "intronic"
sequences. These intronic sequences can play a role in gene expression but are
not themselves expressed. Many of these introns consist of short, long and tandemly
repeated elements known as SINE and LINES. Understanding the frequency, type
and position of SINES and LINES gives us insight into chromosome structure,
and enables comparisons of genes by individual, origin, heritage, and species.
Replacing long repetitive sequences with abbreviated symbols enables a comparative
"at-a-glance" understanding of the genetic code.
The remaining three to five percent of the genome codes for proteins that make
us who we are. It is essential to understand the placement, relationship and
variation that characterize these genes. Some are repeated, some are not. Cancer
susceptibility depends on the presence of multiple copies of genes that code
to process toxins such as nitrosamines frequently encountered in the diet. Individuals
with fewer copies would benefit from seeing the output of their gene chip arrays
meaningfully rendered.
The genome is a one
dimensional stream. The creation of useful sonic mappings for understanding
the genetic territory is an effective communication tool, since sound itself
is a one dimensional stream.
Startup Requirements: 4 developers + 1 technical director
Startup Timeframe: Winter 2001
Market: Biotech, Medicine, Media Companies, Entertainment
Four stand-alone technologies have been proposed that enable vivid new views of molecular biology, the cell and the genetic codes. The choice of these technologies has not come by accident. Each plays a critical role in the creation of a motion picture called CellWorld™, which will accurately portray the functioning of the cell in a way never before experienced.
Appreciation is expressed to a great legend in computer graphics, Russ Fish of the University of Utah Computer Graphics Lab, who was kind enough to review RenderBank portion of this proposal. The kind advice of Rod Bogart of Industrial Light and Magic is also gratefully acknowedged. Richard Drake at UAMS has been an inspiration, as have a multitude of biochemists who have given their lives and careers to bring us to the magic of today.