Exploiting the past and the future in protein secondary structure prediction
نویسندگان
چکیده
منابع مشابه
Exploiting the past and the future in protein secondary structure prediction
MOTIVATION Predicting the secondary structure of a protein (alpha-helix, beta-sheet, coil) is an important step towards elucidating its three-dimensional structure, as well as its function. Presently, the best predictors are based on machine learning approaches, in particular neural network architectures with a fixed, and relatively short, input window of amino acids, centered at the prediction...
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Motivation: Predicting the secondary structure of a protein (alpha-helix, beta-sheet, coil) is an important step towards elucidating its three dimensional structure, as well as its function. Presently, the best predictors are based on machine learning approaches, in particular neu-ral network architectures with a xed, and relatively short, input window of amino acids, centered at the prediction...
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Constraint Based Protein Structure Prediction Exploiting Secondary Structure Information
The protein structure prediction problem is one of the most studied problems in Computational Biology. It can be reasonably abstracted as a minimization problem. The function to be minimized depends on the distances between the various amino-acids composing the protein and on their types. Even with strong approximations, the problem is shown to be computationally intractable. However, the solut...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 1999
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/15.11.937