New methods for accurate prediction of protein secondary structure
نویسندگان
چکیده
منابع مشابه
New methods for accurate prediction of protein secondary structure.
A primary and a secondary neural network are applied to secondary structure and structural class prediction for a database of 681 non-homologous protein chains. A new method of decoding the outputs of the secondary structure prediction network is used to produce an estimate of the probability of finding each type of secondary structure at every position in the sequence. In addition to providing...
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UNLABELLED Porter is a new system for protein secondary structure prediction in three classes. Porter relies on bidirectional recurrent neural networks with shortcut connections, accurate coding of input profiles obtained from multiple sequence alignments, second stage filtering by recurrent neural networks, incorporation of long range information and large-scale ensembles of predictors. Porter...
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Summary: Porter is a new system for protein secondary structure prediction in three classes. Porter relies on bidirectional recurrent neural networks with shortcut connections, accurate coding of input profiles obtained from multiple sequence alignments, second stage filtering by recurrent neural networks, incorporation of long range information and large-scale ensembles of predictors. Porter’s...
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ژورنال
عنوان ژورنال: Proteins: Structure, Function, and Genetics
سال: 1999
ISSN: 0887-3585,1097-0134
DOI: 10.1002/(sici)1097-0134(19990515)35:3<293::aid-prot3>3.0.co;2-l