Parabon Computation

• An exhaustive regression analysis to identify the specific factors that ease the suffering of chemotherapy recipients, a gene expression analysis and a study of the molecular dynamics of protein folding to create greater understanding of the behavior of cancer cells and how they interact with potential new treatments
  
• An exhaustive regression analysis of clinical trial data for Amarillo Biosciences, Inc. for a treatment of fibromyalgia syndrome.

Folding@home

Genome@home

• Engineering new proteins for medical therapy
• Designing new pharmaceuticals
• Assigning functions to the dozens of new genes being sequenced every day
• Understanding protein evolution

FightAIDS@home

FightAIDSatHome, a computational research project partnership between Entropia and the Olson laboratory at The Scripps Research Institute, uses your computer to assist AIDS research. Through Entropia's FightAIDSatHome project and donation of massive computing power, TSRI scientists and researchers have an ideal system to model the evolution of drug resistance and design anti-HIV drugs necessary to fight AIDS.

Community TSC

Übero

Sengent's Drug Design Lab

The Drug Design and Optimization Lab (D2OL) works to discover drug candidates against Anthrax, Smallpox, and Ebola and will soon be adding targets for the top 5 major Bioterrorism organisms. By simply downloading a no cost, non-intrusive software application, you can contribute the idle time available on your computer to fight biological weapons even when not connected to the Internet.

The (D2OL) software is downloaded to your personal computer and given drug candidates to evaluate. Once your computer receives tasks to execute, it begins a candidate evaluation process similar to finding the right key to fit into a lock. Distributed computing technology enables the process of sending hundreds of thousands of possible key combinations to all computing devices participating in the network and managing the results generated and returned to the network once you connect again to the internet. As a user, no intervention is required and the software executes as long as it is turned on, even when disconnected from the Internet.

By applying our tested platform which uniquely takes advantage of all available computing devices within its community including personal computers, servers and eventually devices like TiVo(tm) and the Xbox(tm), we are applying massive, cost-effective computing power to drug discovery efforts. Using this computing power, our skilled methodology to identify targets (focusing on both drugability and the target's role in the pathogen's lifecycle) and collaborating with experts in computational chemistry and structure based drug design, the (D2OL) initiative is working to realize a 10 fold speed increase and 1,000 fold improvement in the accuracy of our drug discovery efforts.

The Virtual Labratory Project

The Virtual Laboratory project is engaged in research, design, and development of Grid technologies that help in solving large-scale compute and data intensive science applications in the area of molecular biology. The virtual laboratory environment provides software tools and resource brokers that facilitate large-scale molecular studies on geographically distributed computational and data grid resources. This helps in examining/screening millions of chemical compounds (molecules) in the Chemical Data Bank (CDB) to identify those having potential use in drug design.

This project does not work in the way that traditional projects do. Instead of downloading a software client and having it get work assignments, you set up Globus grid computing software on your system and then make your system available to the World Wide Grid (WWG), a global computing grid. Then the Virtual Lab project coordinators can schedule computations on your system at their convenience. Because of this setup, this project is best for users with permanent Internet connections. For this project, the coordinators use their grid scheduler, called Nimrod-G, to deploy their Nimrod-G agents on your machine to do the molecule screening.

Distributed Folding

Proteins have a vast number of folds, larger than we could hope to compute even with distributed computing. Usually only one fold is found in nature. The Distributed Folding Project aims to test our new protein folding algorithm. We want see if it can reproduce natural protein folds after making extremely large samples of many different folds.

With your help, we will create the largest samples of protein folds ever computed. First we will make 1 Billion (1,000,000,000) folds for 5 small proteins, then we will try 10 Billion (10,000,000,000) for another 10 large proteins. By the end of our first phase, we hope to make over 100 Billion protein folds spanning 15 different proteins.

The screensaver software (or text client) makes proteins using our new, fast algorithm. You can see it working as it builds proteins on your monitor. Each structure looks completely different, and each one is only a single sample of an extremely enormous conformational space. After each protein, the software measures its size and shape, and tests it in different ways to generate statistics. It saves the best protein. After building a large set of proteins, it contacts the Distributed Folding server over the Internet. It uploads statistics about all the proteins it has made, and it updates your best protein on the server.

Find-A-Drug

Cell Computing

Important Note! This project uses the United Devices software. If you already have the United Devices client installed for the grid.org projects, installing this the Cell Computing client will uninstall the grid.org client.

The project has two sub-projects:

• BOLERO (Bio Odyssey of Lateen Explorer for Repeated Objects), which "searches for the huge repeat of a human genome, and analyzes a relation with a cause-of-a-disease gene." (see babelfish translation)
• OPAL (Optical Property AnaLyzer (of photonic crystals) which "looks for the material which can manufacture an optical microprocessor." (see babelfish translation)