An update is given on the Database of Expected Fold classes (DEF) that contains a collection of fold-class predictions made from protein sequences and a mail server that provides new predictions for new sequences. To any given sequence one of 49 fold-classes is chosen to classify the structure related to the sequence with high accuracy. The updated predic-tion system is developed using data from the new version of the 3D-ALI database of aligned protein structures and thus is giving more reliable and more detailed predictions than the previous DEF system
The prediction of the native structure of proteins given their amino acid sequence is one of the cen...
Despite recent efforts to develop automated protein structure determination protocols, structural ge...
Abstract: Because of the relatively large gap of knowledge between number of protein sequences and p...
MotivationHomology detection enables grouping proteins into families and prediction of their structu...
Predicting the three-dimensional (3-D) structure of a protein is an important task in the field of b...
The subject of this thesis is the use of specialized database methods to analyze and predict protein...
Motivation: The number of protein families has been estimated to be as small as 1000. Recent study s...
AbstractThe recognition of protein folds is an important step in the prediction of protein structure...
Recent research resulted in the development of several 1D protein structure descriptors. They provid...
This paper proposes a framework for predicting protein three dimensional structures from their prima...
An updated version of the 3D_ali databank (Pascarella and Argos, 1992) was constructed to incorporat...
Protein fold classification plays an important role in both protein functional analysis and drug des...
Abstract Deciphering three dimensional structure of a protein sequence is a challenging task in biol...
Fold recognition, assigning novel proteins to known structures, forms an important component of the ...
We describe new algorithms and modules for protein structure prediction available as part of the PRO...
The prediction of the native structure of proteins given their amino acid sequence is one of the cen...
Despite recent efforts to develop automated protein structure determination protocols, structural ge...
Abstract: Because of the relatively large gap of knowledge between number of protein sequences and p...
MotivationHomology detection enables grouping proteins into families and prediction of their structu...
Predicting the three-dimensional (3-D) structure of a protein is an important task in the field of b...
The subject of this thesis is the use of specialized database methods to analyze and predict protein...
Motivation: The number of protein families has been estimated to be as small as 1000. Recent study s...
AbstractThe recognition of protein folds is an important step in the prediction of protein structure...
Recent research resulted in the development of several 1D protein structure descriptors. They provid...
This paper proposes a framework for predicting protein three dimensional structures from their prima...
An updated version of the 3D_ali databank (Pascarella and Argos, 1992) was constructed to incorporat...
Protein fold classification plays an important role in both protein functional analysis and drug des...
Abstract Deciphering three dimensional structure of a protein sequence is a challenging task in biol...
Fold recognition, assigning novel proteins to known structures, forms an important component of the ...
We describe new algorithms and modules for protein structure prediction available as part of the PRO...
The prediction of the native structure of proteins given their amino acid sequence is one of the cen...
Despite recent efforts to develop automated protein structure determination protocols, structural ge...
Abstract: Because of the relatively large gap of knowledge between number of protein sequences and p...