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I need your help - ~only few hours left in my crowd funding campaign, I need to raise $4763 to reach the goal
The campaign finishes today on on Sept 8 2013 at 23:59 PDT

CytoComp`s mission is to build the first microprocessor made from biological parts. It has an input output unit, which can both take a electrical as a biological signal. Thus you can monitor on your smartphone, what is going on in the biological system.

CytoComp will do what Intel has done with silicon with biological parts.

You can get a free review about biological computing if you go to this page 
http://cytocomp-bitstarter-mooc.herokuapp.com

The backer of this campaign get some very interesting rewards. 

For 1 Bitcoin ($119) you get exclusive early developer access to CytoComp`s CAD (computer assisted design platform, which allows you to custom design a biological microprocessor). Hurry - only  40 left!

If you do not have Bitcoins we can arrange a payment by PayPal. For that case please contact me at 
info@cytocomp.com

This is a one time opportunity for developer and tinkeres to get exclusive access  to a revolutionizing technology, which can have many applications.

Please help CytoComp to raise the remaining $4763.

Thanks for your support.

BTW this crowd funding campaign is part of a competition arranged by Stanford University. CytoComp is so far the leading top 1 most funded team. You can follow here http://startupmooc.org
Recent funds we have received via PayPal are even not added.

PS
As this concept might be new for many, I wish in the following to explain a bit what biological computer can be used to. I will in the following also make some posts to focus on certain diseases.

Potential applications of biological computers
Biological computers possess some distinct advantages over silicon computers . These systems can self-assemble and self- reproduce, which might provide some economic advantages. Moreover, cells can be engineered to sense and respond to environmental signals, even under extreme conditions such as high temperature, high pressure, radioactivity or toxic chemicals. Biological systems have the ability to adapt to new information from a changed environment.
The ultimate goals of biocomputing are the monitoring and control of biological systems.

Monitoring of biological systems
Biological systems need to be monitored in respect to disease diagnostic, to drug screening, to understand experimental systems, and to observe the environment.
In line with this, a biocomputer has been utilized to detect multiple disease indicators, such as mRNA of disease-related genes associated with small-cell lung cancer and prostate cancer. Moreover, they can be used in experimental models, such as conditional transgenes or inducible expression systems. Environmental monitoring is another interesting application. A cell based biosensor using logic gates has been used to detect arsenic, mercury and copper ion levels.

Control of biological systems
Biocomputers can potentially be used to control development, cell differentiation and re-programming, as all these processes depend on gene regulatory networks. Another application area is tissue engineering and tissue regeneration. Metabolic engineering has the potential to produce from simple, inexpensive starting materials a large number of chemicals that are currently derived from nonrenewable resources or limited natural resources. The metabolic flux can potentially be controlled by a biocomputer . Interesting might also be to control the immune system by a biocomputer, e.g. in transplantation medicine . An important application area is the control of malign growth. Some interesting experiments with logic based biological devices have been executed to detect cancer cells (e.g. small-cell lung cancer, prostate cancer, HeLa cells), and to induce selective apoptosis of these cells. Furthermore, biocomputers can be used to engineer context-dependent programmable drugs. A biocomputer with a context-sensing mechanism, which can simultaneously sense different types of molecules, has been engineered. In the future it might be used to detect a broad range of molecular disease symptoms, and react with the release of a drug molecule suitable for the treatment of the specific condition. In line with this concept a programmable NOR-based device has been developed capable of differentiating between prokaryotic cell strains based on their unique expression profile.


Thanks for your support

Gerd

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