Our Folding@home team has reached 250 million points. Thanks to all participants.
Piper is a project to unleash creativity and learn electronics and other ‘maker’ skills by playing Minecraft. It uses an innovative direct connection between a prototype board and the game, using a Raspberry Pi.
A free FORTH intended for education and learning that runs on a $10 experimenter board from Texas Instruments. Also freely available are a Windows IDE and several demonstration programs.
FORTH is a tiny language, with only a few basic concepts, suitable for people who are new to computers. It found success in the 1980s mainly in embedded systems. It also has a proud history in space research and astronomy.
With this extremely inexpensive solution, a wide audience can now learn programming by doing.
Available at 4E4th Website
goal: to investigate Quantum Monte Carlo
as a method for Quantum Chemistry
Quantum Chemistry (QC) attempts to predict the reactivity behaviour of atoms and molecules using quantum mechanics. It is also fundamental to molecular physics and molecular biology. QC offers a powerful theoretical tool, especially to the life sciences.
The Schrödinger Equation describes the quantum state of a physical system evolving in time. Solutions of such equations can be used to calculate energy levels, structure, and bonding properties of atoms and molecules. This usually involves tactical approximations and a good deal of calculus.
To take advantage of distributed computing power, the QMC@home project is applying the Quantum Monte Carlo approach. In Monte Carlo analysis, the problem at hand is mapped onto a kind of dartboard. The ‘darts’ are then randomly generated (hence the name Monte Carlo). Many darts (perhaps millions) are thrown onto the map to estimate probabilities. The results are analyzed to provide solutions.
A simple example of Monte Carlo analysis is the calculation of π.
If a circle (radius=r) is placed exactly inside a square (side=2r), the ratio of the area of the circle to that of the square is π/4. Random ‘darts’ thrown at this ‘map’ can be tallied to estimate the same ratio. This is called a Monte Carlo (MC) simulation.
Therefore, π = 4 x (MC ratio). More darts on the MC map will generally lead to a more accurate estimate of π.
QMC is new, and its applicability to real chemistry requires further study. This study requires massive amounts of parallel computing power. This is where the public can help. To join the effort, you need only install a ‘client’ on your PC. This client is a small piece of software that usually runs in the background. Participation in this effort by the general public is free, easy to do, and strongly encouraged.
goal: to understand protein function and
related molecular biology
There is a tremendous amount of processing power distributed throughout the world in home computers that have a modern Graphic Processing Unit (GPU) card. These cards typically have dozens to hundreds of separate processors, which can be used to work on highly parallel tasks. Although intended for games and graphic applications, they are also now being successfully utilized as an aid to scientific research, computational biology in this case.
GPUgrid.net is a project that conducts molecular simulations on such a distributed ‘grid’. Anyone with a modern nVIDIA GPU can participate (see the currently supported cards list on the GPUgrid website).
HIV Protease is a viral enzyme that helps in the assembly of HIV virions. Understanding its structure and function is computationally time consuming but crucial in the development of inhibitors to target this protease.
Brain function studies are being aided by the simulation of the molecular dynamics of the D2 Dopamine receptor and associated mobility of sodium ions.
Protein-protein binding affinities are being calculated using the Sarcoma Homology 2 protein domain. This is important in understanding diseases where cell growth and development are impaired.
Various other molecular simulations are underway or planned.
To join the effort, you need only install a ‘client’ on your PC. This client is a small piece of software that usually runs in the background. Participation in this effort by the general public is free, easy to do, and strongly encouraged. Their website has pictures, animations, documentation, etc.
goal: to understand protein folding, misfolding, and related diseases
Proteins are the machinery of life. They are responsible for the structure and processes we see in living organisms. They are continually produced within cells, different cell types making different sets of proteins. The genetic code (DNA) stores gene patterns as sequences of base pairs. Genes are expressed (proteins created) when RNA carries these patterns to ribosomes which then read the sequence of bases three at a time. These triplets (codons) are translated into amino acids to assemble a protein. Each long one-dimensional molecule folds into a
3-D shape under local molecular and atomic chemistry rules. This
3-D shape actually determines much of the functionality of a protein. Rarely, this folding process goes wrong (alternate
3-D configurations occur), causing disorders in the organism such as Alzheimer’s, Parkinson’s disease, and many cancer-related syndromes.
Understanding this protein folding process benefits from massive computing power. Folding@home was established to draw upon the considerable resources of distributed computers worldwide. The ‘client’ is a small piece of software that usually runs in the background on your computer. Participation in this effort by the general public is free, easy to do, and strongly encouraged.