Folding@Home Project For Disease Research Software Download 7.6.21
Folding@home (Folding At Home or F@h) is a distributed computing project for simulating protein dynamics, including the process of protein folding and the movements of proteins implicated in a variety of diseases. It brings together citizen scientists who volunteer to run simulations of protein dynamics on their personal computers. Insights from this data are helping scientists to better understand biology and providing new opportunities for developing therapeutics.
While you keep going with your everyday activities, your computer will be working to help us find cures for diseases like cancer, ALS, Parkinson’s, Huntington’s, Influenza, and many others. Donate computing power and install the Folding@Home app today!
The new Folding at home (FAH) software is configured, controlled, and monitored through a new simpler graphical interface named Web Control. This new web browser-based application has incorporated many new features, including client monitoring and configuration of all FAH clients. Web Control is now the recommended interface for all FAH types (Single core CPU, Multi-core CPU, GPU), replacing both the Systray and the Console versions of FAH. The more advanced FAHControl application is also available here.
Its main purpose is to determine the mechanisms of protein folding, which is the process by which proteins reach their final three-dimensional structure, and to examine the causes of protein misfolding. This is of interest to medical research into Alzheimer’s disease, Huntington’s disease, and many forms of cancer, among other diseases.
The project has pioneered the use of graphics processing units (GPUs), PlayStation 3s, Message Passing Interface (used for computing on multi-core processors) for distributed computing and scientific research. The project uses statistical simulation methodology that is a paradigm shift from traditional computing methods. As part of the client-server model network architecture, the volunteered machines each receive pieces of a simulation (work units), complete them, and return them to the project’s database servers, where the units are compiled into an overall simulation.
|Operating System||Windows XP, Vista, 7, 8, 10|
|Processor||Intel P4 1.4 GHz processor or newer, or AMD equivalent (modern multi-core processors recommended)|
|Video Card||1 or more supported GPU video cards|
Folding At Home For Disease Research Software Features
- Web Control – This is the new simpler graphical interface (front-end). Web Control will configure and monitor one or more FAHClient slots through an easy to use web page. This is the default control program.
- FAHControl – This is an alternate new graphical interface (advanced front-end). FAHControl will configure and monitor one or more FAHClient (slots), on one or more computers. This more advanced interface is optional.
- FAHClient – This is the (back-end) client software managed by FAHControl and typically runs behind the scene. This is a truly unified client (slot) manager. FAHClient starts one or multiple instances of a Fahcore and manages the work assignments for each of these client “slots.”
- FAHSlot – aka “slot” – Each Fahcore and the data associated with it is called a slot. For example, one FAHSlot can be associated with a GPU and another slot associated with the CPU. Each folding slot can download, process, and upload results independently. The FAHClient manages each slot, and FAHControl monitors and displays their progress independently.
- FAHViewer – This is the new and fully functional work unit viewer. FAHViewer is modeled after the very popular PS3 viewer, and continues to offer the many rendering options, ball and stick, space fill, zoom, rotation, etc., and adds snapshot capture and cycling to show folding in action.
Official Video Folding@Home
- Charity Engine
- Apache Mesos
Folding@home is one of the world’s fastest computing systems, with a speed of approximately 98.7petaFLOPS as of March 2020. This performance from its large-scale computing network has allowed researchers to run computationally costly atomic-level simulations of protein folding thousands of times longer than formerly achieved.