Rosetta@home
Rosetta@home
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Original author(s) | |
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Developer(s) | Baker Laboratory, University of Washington |
Initial release | 2005 |
Stable release | |
Preview release | |
Development status | Active |
Project goal(s) | |
Software used | |
Funding | |
Written in |
Rosetta@home is a distributed computing project for protein structure prediction and protein-protein docking, which is run by the Baker Laboratory at the University of Washington. The project uses the BOINC (Berkeley Open Infrastructure for Network Computing) platform to harness the idle processing power of volunteers' computers around the world. The primary goal of Rosetta@home is to predict and design protein structures, which can aid in understanding diseases and developing new therapeutics.
Overview[edit | edit source]
Rosetta@home is part of a larger effort to understand the fundamental principles of protein folding and to apply this knowledge to real-world problems. Proteins are essential molecules in all living organisms, and their functions are determined by their three-dimensional structures. Misfolded proteins can lead to diseases such as Alzheimer's disease, Parkinson's disease, and cystic fibrosis. By predicting how proteins fold, Rosetta@home aims to contribute to the development of treatments for these and other diseases.
The project also focuses on protein design, which involves creating new proteins with specific functions. This has applications in biotechnology, medicine, and nanotechnology.
How it Works[edit | edit source]
Rosetta@home uses the computational power of volunteers' computers to perform complex calculations related to protein folding and design. Participants download and install the BOINC client, which connects to the Rosetta@home servers to receive work units. These work units contain data about protein sequences that need to be analyzed.
The Rosetta software then simulates the folding process of these proteins, generating thousands of possible structures. The most promising structures are sent back to the servers for further analysis. This distributed approach allows researchers to explore a vast number of potential protein conformations, which would be infeasible with traditional computing resources.
Scientific Contributions[edit | edit source]
Rosetta@home has made significant contributions to the field of structural biology. It has been used to predict the structures of proteins involved in various diseases, aiding in the development of new drugs and therapies. The project has also contributed to the design of novel proteins with potential applications in medicine and industry.
One notable achievement of Rosetta@home is its role in the development of the COVID-19 vaccine. The project helped design proteins that stabilize the SARS-CoV-2 spike protein, which is a key component of several vaccines.
Participation[edit | edit source]
Anyone with a computer and an internet connection can participate in Rosetta@home. By joining the project, volunteers contribute to cutting-edge scientific research and help advance our understanding of protein folding and design. Participants can track their contributions and earn credit for their work, fostering a sense of community and collaboration.
Also see[edit | edit source]
External links[edit | edit source]
Template:Distributed computing projects Template:Protein structure prediction
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Contributors: Prab R. Tumpati, MD