Rosetta@home Effort


I participate in the distributed super-computing project Rosetta@home for protein structure prediction run by the Baker laboratory at the University of Washington. Rosetta@home aims to predict protein–protein docking and design new proteins with the help of about sixty thousand active volunteered computers. Though much of the project is oriented towards basic research on improving the accuracy and robustness of the proteomics methods, Rosetta@home also does applied research on malaria, Alzheimer’s disease and other pathologies.

Rosetta@home uses idle computer processing resources from volunteers’ computers to perform calculations on individual workunits. Completed results are sent to a central project server where they are validated and assimilated into project databases.

Dougal’s contribution sine 2010:


My folding fleet:

CPUThreadsClock speedTransistorsCPU MarkRAMDuty
Intel Core i7 377083.9 GHz1.4 billion9,4008GBFull-time
Intel Core i5 3470S42.9 GHz1.4 billion6,00016GBFull-time
Intel Core i5 3330S43.0 GHz1.4 billion5,6008GBFull-time
Intel Core i5 4200U41.6 GHz1.3 billion3,3004GBFull-time
Intel Core i5 2520M42.5GHz624 million3,5004GBPart-time
Intel Core 2 Quad Q660042.4GHz582 million3,0003GBFull-time
Intel Core 2 Duo T720022.0GHz291 million1,2003GBPart-time

Full list of hosts

Hardware manufacturers in use and working well:
Complete systems: Apple, HP
Microprocessors: Intel
Memory: Micron
Storage: OCZ, Seagate
Power Supplies: Antec
System cases: Antec, Lian-Li
Cooling fans: Antec
Optical drives: Pioneer
Networking: Asus, Edimax