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Protein threading by learning

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PubMed Central2001-11-20 更新2026-05-16 收录
下载链接:
https://pmc.ncbi.nlm.nih.gov/articles/PMC64685/
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资源简介:
By using techniques borrowed from statistical physics and neural networks, we determine the parameters, associated with a scoring function, that are chosen optimally to ensure complete success in threading tests in a training set of proteins. These parameters provide a quantitative measure of the propensities of amino acids to be buried or exposed and to be in a given secondary structure and are a good starting point for solving both the threading and design problems.
提供机构:
National Academy of Sciences
创建时间:
2001-11-20
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