SCPRED: Accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences

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Prediction of protein structural class for the twilight zone sequences.

Structural class characterizes the overall folding type of a protein or its domain. This paper develops an accurate method for in silico prediction of structural classes from low homology (twilight zone) protein sequences. The proposed LLSC-PRED method applies linear logistic regression classifier and a custom-designed, feature-based sequence representation to provide predictions. The main adva...

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Secondary protein structure carries information about local structural arrangements, which include three major conformations: alpha-helices, beta-strands, and coils. Significant majority of successful methods for prediction of the secondary structure is based on multiple sequence alignment. However, multiple alignment fails to provide accurate results when a sequence comes from the twilight zon...

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Accurate Prediction of Protein Structural Class

Because of the increasing gap between the data from sequencing and structural genomics, the accurate prediction of the structural class of a protein domain solely from the primary sequence has remained a challenging problem in structural biology. Traditional sequence-based predictors generally select several sequence features and then feed them directly into a classification program to identify...

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Sequence representation and prediction of protein secondary structure for structural motifs in twilight zone proteins.

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ژورنال

عنوان ژورنال: BMC Bioinformatics

سال: 2008

ISSN: 1471-2105

DOI: 10.1186/1471-2105-9-226