Biology:proteins@home
 Proteins@Home screensaver | |
| Operating system | Cross-platform |
|---|---|
| Platform | BOINC |
proteins@home[1] was a volunteer computing project that used the BOINC architecture. The project was run by the Department of Biology at École Polytechnique. The project began on December 28, 2006 and ended in June 2008.
Purpose
proteins@home was a large-scale non-profit protein structure prediction project utilizing volunteer computing to perform intensive computations in a small amount of time. From their website:
The amino acid sequence of a protein determines its three-dimensional structure, or 'fold'. Conversely, the three-dimensional structure is compatible with a large, but limited set of amino acid sequences. Enumerating the allowed sequences for a given fold is known as the 'inverse protein folding problem'. We are working to solve this problem for a large number of known protein folds (a representative subset: about 1500 folds). The most expensive step is to build a database of energy functions that describe all these structures. For each structure, we consider all possible sequences of amino acids. Surprisingly, this is computationally tractable, because our energy functions are sums over pairs of interactions. Once this is done, we can explore the space of amino acid sequences in a fast and efficient way, and retain the most favorable sequences. This large-scale mapping of protein sequence space will have applications for predicting protein structure and function, for understanding protein evolution, and for designing new proteins. By joining the project, you will help to build the database of energy functions and advance an important area of science with potential biomedical applications.[2]
See also
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Wikimedia Commons has media related to Proteins@home. |
References
- ↑ Schmidt Am Busch, Marcel; Lopes, Anne; Mignon, David; Simonson, Thomas (2008-05-29). "Computational protein design: software implementation, parameter optimization, and performance of a simple model". Journal of Computational Chemistry 29 (7): 1092–1102. doi:10.1002/jcc.20870. ISSN 1096-987X. PMID 18069664. https://pubmed.ncbi.nlm.nih.gov/18069664/. Retrieved 2022-09-05.
- ↑ "proteins@home". 2007-03-15. http://biology.polytechnique.fr/proteinsathome.
External links
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