General overview on structure prediction of twilight-zone proteins
نویسندگان
چکیده
منابع مشابه
Sequence representation and prediction of protein secondary structure for structural motifs in twilight zone proteins.
Characterizing and classifying regularities in protein structure is an important element in uncovering the mechanisms that regulate protein structure, function and evolution. Recent research concentrates on analysis of structural motifs that can be used to describe larger, fold-sized structures based on homologous primary sequences. At the same time, accuracy of secondary protein structure pred...
متن کاملPrediction of protein secondary structure content for the twilight zone sequences.
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...
متن کاملPrediction 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...
متن کاملImproved pairwise alignments of proteins in the Twilight Zone using local structure predictions
MOTIVATION In recent years, advances have been made in the ability of computational methods to discriminate between homologous and non-homologous proteins in the 'twilight zone' of sequence similarity, where the percent sequence identity is a poor indicator of homology. To make these predictions more valuable to the protein modeler, they must be accompanied by accurate alignments. Pairwise sequ...
متن کاملBeyond the Twilight Zone: automated prediction of structural properties of proteins by recursive neural networks and remote homology information.
The prediction of 1D structural properties of proteins is an important step toward the prediction of protein structure and function, not only in the ab initio case but also when homology information to known structures is available. Despite this the vast majority of 1D predictors do not incorporate homology information into the prediction process. We develop a novel structural alignment method,...
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ژورنال
عنوان ژورنال: Theoretical Biology and Medical Modelling
سال: 2015
ISSN: 1742-4682
DOI: 10.1186/s12976-015-0014-1