翻訳と辞書 Words near each other ・ Protein-S-isoprenylcysteine O-methyltransferase ・ Protein-secreting ATPase ・ Protein-serine epimerase ・ Protein-synthesizing GTPase ・ Proteinania ・ Proteinase 3 ・ Proteinase A ・ Proteinase K ・ Proteininae ・ Proteinogenic amino acid ・ Proteinoid ・ Proteinoplast ・ Proteins (journal) ・ Proteins in wine ・ Proteins produced and secreted by the liver ・ Proteins@home ・ PROteINSECT ・ Proteintech ・ Proteinuria ・ Protein–carbohydrate interactions ・ Protein–DNA interaction ・ Protein–DNA interaction site predictor ・ Protein–energy malnutrition ・ Protein–ligand docking ・ Protein–lipid interaction ・ Protein–protein interaction ・ Protein–protein interaction prediction ・ Protein–protein interaction screening ・ Protekon ・ Protektorfjellet Dictionary Lists mini英和辞書 mini和英辞書 Webster 1913 Latin-English FOLDOC Wikipedia English ウィキペディア

翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Proteins@home ： ウィキペディア英語版 Proteins@home Proteins@home ("Proteins at home") was one of many distributed computing projects 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 distributed computing to perform a lot of 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.'' 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Proteins@home」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.