The Synaptic Leap

 Novel method to cure malaria
 
 
http://www.hsph.harvard.edu/news/press-releases/2010-releases/kinase-tra...

There may be members of this community who do not yet have direct experience of developing a new medicine from concept to pharmacy shelf.  Be assured, there is a lot more to it than "just" the synthesis of the API.  Why not take advantage of a Free ACS Webcast on May 6, 2010 Thurs 2:00-3:00 PM ET
From a Beaker to a Bottle: Overview of the Drug Discovery and Development Process for Small Molecule Therapeutics
A free webcast from the American Chemical Society as part of their Professional Growth and Development Series. Learn about the drug development process and find out how long it takes, how much it costs, and the odds of getting a new drug approved.

Glaxo allows access to 1000s of in house chemical to the public domain
 
http://www.guardian.co.uk/science/2010/jan/20/glaxo-malaria-drugs-public...

 http://www.pnas.org/content/early/2009/07/31/0907740106.abstract?sid=9765379a-8e16-4085-b4c9-5a5f126a0990 
 
 

 http://www.nature.com/nature/journal/v459/n7249/full/nature08104.html
 

 100% protective malaria vaccine
http://content.nejm.org/cgi/content/full/361/5/468 
Administering chloroquine before being exposed infected mosquitos, provides a vaccine that is 100% protective.
 

The development of falcipain-2 inhibitors as antimalarial agents is a collaborative Open Science project that we are joining.  Our research group studies the development of small molecule chemotherapeutic agents that are targeted to specific sites-of-action, at a microscopic level.  Falcipain-2 is a lysosomal enzyme of Plasmodium, the parasite that causes malaria.  Therefore, the ability to identify small molecule falcipain-2 inhibitors that accumulate in the lysosomes of the parasite while not accumulating in other parts of the human body is key if the chemotherapeutic agents under development are going to have potent antimalarial activity in vivo, with minimal side effects. 

THE SUBCELLULAR DRUG TRANSPORT LABORATORY (click here to visit our lab website)  

Hi all,

I would like to introduce my open-source project at Stanford, GemIdent:

http://www.gemident.com

http://en.wikipedia.org/wiki/GemIdent

GemIdent specializes in color image segmentation using supervised machine learning. For example, you can use it to locate and count cells in microscopic images: