PubMed · 11717394
Protein threading by learning.
Abstract
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.
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I Chang, M Cieplak, R I Dima, A Maritan, J R Banavar. 2001-11-20. Protein threading by learning.. https://doi.org/10.1073/pnas.241133698
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