scholarly journals A large-scale experiment to assess protein structure prediction methods

1995 ◽  
Vol 23 (3) ◽  
pp. ii-iv ◽  
Author(s):  
John Moult ◽  
Jan T. Pedersen ◽  
Richard Judson ◽  
Krzysztof Fidelis
Keyword(s):  
Protein Structure ◽  
Protein Structure Prediction ◽  
Structure Prediction ◽  
Large Scale ◽  
Prediction Methods ◽  
Scale Experiment

Three-dimensional protein structure prediction: Methods and computational strategies

2014 ◽  
Vol 53 ◽  
pp. 251-276 ◽  
Author(s):  
Márcio Dorn ◽  
Mariel Barbachan e Silva ◽  
Luciana S. Buriol ◽  
Luis C. Lamb
Keyword(s):  
Protein Structure ◽  
Protein Structure Prediction ◽  
Structure Prediction ◽  
Three Dimensional ◽  
Prediction Methods

scholarly journals Rosettaepr: Developing Protein Structure Prediction Methods using Sparse SDSL-EPR Data

2010 ◽  
Vol 98 (3) ◽  
pp. 461a-462a
Author(s):  
Stephanie Hirst ◽  
Nathan Alexander ◽  
Kristian Kaufmann ◽  
Hassane Mchaourab ◽  
Jens Meiler
Keyword(s):  
Protein Structure ◽  
Protein Structure Prediction ◽  
Structure Prediction ◽  
Prediction Methods

scholarly journals Lessons from making the Structural Classification of Proteins (SCOP) and their implications for protein structure modelling

2016 ◽  
Vol 44 (3) ◽  
pp. 937-943 ◽  
Author(s):  
Antonina Andreeva
Keyword(s):  
Protein Structure ◽  
Protein Structure Prediction ◽  
Structure Prediction ◽  
Large Scale ◽  
Structural Variations ◽  
Structural Classification ◽  
Alternative Structures ◽  
Genome Annotations ◽  
Structural Classification Of Proteins

The Structural Classification of Proteins (SCOP) database has facilitated the development of many tools and algorithms and it has been successfully used in protein structure prediction and large-scale genome annotations. During the development of SCOP, numerous exceptions were found to topological rules, along with complex evolutionary scenarios and peculiarities in proteins including the ability to fold into alternative structures. This article reviews cases of structural variations observed for individual proteins and among groups of homologues, knowledge of which is essential for protein structure modelling.

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