A classical way to analyze protein 3D structures or models is to investigate their secondary structures. Their predictions are also widely used as a help to build new 3D models. Thus, hundreds of prediction methods have been proposed. Nonetheless before predicting, secondary structure assignment is required even if not trivial. Therefore numerous but diverging assignment methods have been developed. beta-turns constitute the third most important secondary structures. However, no analysis to compare the beta-turn distributions according to different secondary structure assignment methods has ever been done. We propose in this paper to analyze and evaluate the results of such a comparison. We highlight some important divergence that could hav...
[[abstract]]We present a method based on the first-order Markov models for predicting simple beta-tu...
We present an alternative approach to protein 3D folding prediction based on determination of rules ...
One of the most long-term challenging problems in biophysics studies for both computational scientis...
A classical way to analyze protein 3D structures or models is to investigate their secondary structu...
Protein loops connect regular secondary structures and contain 4-residue beta turns which represent ...
Protein loops connect regular secondary structures and contain 4-residue beta turns which represent ...
ABSTRACT A new and more accurate method has been developed for predicting the backbone U-turn positi...
Abstract: Development of accurate -turn (beta-turn) type prediction methods would contribute towards...
The description of protein 3D structure usually focuses on the repetitive local folds (alpha-helices...
Backgroundβ-turns are secondary structure elements usually classified as coil. Their prediction is i...
The first step in the study of protein is analyzing structural similarity. This is done using variou...
Abstract Background β-turn is a secondary protein structure type that plays significant role in prot...
Motivation: β-turns play an important role from a structural and functional point of view. β-turns a...
An automated computer prediction of the chain reversal regions of globular proteins is described her...
The two most important beta-turn features in peptides and proteins are the type I and type II turns,...
[[abstract]]We present a method based on the first-order Markov models for predicting simple beta-tu...
We present an alternative approach to protein 3D folding prediction based on determination of rules ...
One of the most long-term challenging problems in biophysics studies for both computational scientis...
A classical way to analyze protein 3D structures or models is to investigate their secondary structu...
Protein loops connect regular secondary structures and contain 4-residue beta turns which represent ...
Protein loops connect regular secondary structures and contain 4-residue beta turns which represent ...
ABSTRACT A new and more accurate method has been developed for predicting the backbone U-turn positi...
Abstract: Development of accurate -turn (beta-turn) type prediction methods would contribute towards...
The description of protein 3D structure usually focuses on the repetitive local folds (alpha-helices...
Backgroundβ-turns are secondary structure elements usually classified as coil. Their prediction is i...
The first step in the study of protein is analyzing structural similarity. This is done using variou...
Abstract Background β-turn is a secondary protein structure type that plays significant role in prot...
Motivation: β-turns play an important role from a structural and functional point of view. β-turns a...
An automated computer prediction of the chain reversal regions of globular proteins is described her...
The two most important beta-turn features in peptides and proteins are the type I and type II turns,...
[[abstract]]We present a method based on the first-order Markov models for predicting simple beta-tu...
We present an alternative approach to protein 3D folding prediction based on determination of rules ...
One of the most long-term challenging problems in biophysics studies for both computational scientis...