Searching for a Better Match between Protein Secondary Structure Definitions and Protein FTIR Spectra
نویسندگان
چکیده
منابع مشابه
Neural Network Definitions of Highly Predictable Protein Secondary Structure Classes
We use two co-evolving neural networks to determine new classes of protein secondary structure which are significantly more predictable from local amino sequence than the conventional secondary structure classification. Accurate prediction of the conventional secondary structure classes: alpha helix, beta strand, and coil, from primary sequence has long been an important problem in computationa...
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Approximate searching on the primary structure (i.e., amino acid arrangement) of protein sequences is an essential part in predicting the functions and evolutionary histories of proteins. However, because proteins distant in an evolutionary history do not conserve amino acid residue arrangements, approximate searching on proteins’ secondary structure is quite important in finding out distant ho...
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Approximate searching on the primary structure (i.e., amino acid arrangement) of protein sequences is an essential part in predicting the functions and evolutionary histories of proteins. However, because proteins distant in an evolutionary history do not conserve amino acid residue arrangements, approximate searching on proteins’ secondary structure is quite important in finding out distant ho...
متن کاملTowards Better Understanding of Protein Secondary Structure: Extracting Prediction Rules
Although numerous computational techniques have been applied to predict protein secondary structure (PSS), only limited studies have dealt with discovery of logic rules underlying the prediction itself. Such rules offer interesting links between the prediction model and the underlying biology. In addition, they enhance interpretability of PSS prediction by providing a degree of transparency to ...
متن کاملPrediction of protein secondary structure at better than 70% accuracy.
We have trained a two-layered feed-forward neural network on a non-redundant data base of 130 protein chains to predict the secondary structure of water-soluble proteins. A new key aspect is the use of evolutionary information in the form of multiple sequence alignments that are used as input in place of single sequences. The inclusion of protein family information in this form increases the pr...
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ژورنال
عنوان ژورنال: Analytical Chemistry
سال: 2020
ISSN: 0003-2700,1520-6882
DOI: 10.1021/acs.analchem.0c03943