CRYSpred: Accurate Sequence-Based Protein Crystallization Propensity Prediction Using Sequence-Derived Structural Characteristics

Publisher： Bentham Science Publishers

E-ISSN： 1875-5305|19|1|40-49

ISSN： 0929-8665

Source： Protein and Peptide Letters, Vol.19, Iss.1, 2012-01, pp. : 40-49

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Sequence-based prediction of protein domains

By Liu Jinfeng   Rost Burkhard  

Nucleic Acids Research, Vol. 32, Iss. 12, 2004-01 ,pp. : 3522-3530

Oxford University Press

Access to resources Recommend Favorite

SVMCRYS: An SVM Approach for the Prediction of Protein Crystallization Propensity from Protein Sequence

By  

Protein and Peptide Letters, Vol. 17, Iss. 4, 2010-04 ,pp. : 423-430

Bentham Science Publishers

Access to resources Recommend Favorite

Application of Intelligent Techniques for Classification of Bacteria Using Protein Sequence-Derived Features

By Banerjee Amit   Ravi Vadlamani   Murty U.   Sengupta Neelava   Karuna Batepatti  

Applied Biochemistry and Biotechnology, Vol. 170, Iss. 6, 2013-07 ,pp. : 1263-1281

Humana Press, Inc

Access to resources Recommend Favorite

Structural Protein Descriptors in 1-Dimension and their Sequence-Based Predictions

By  

Current Protein and Peptide Science, Vol. 12, Iss. 6, 2011-09 ,pp. : 470-489

Bentham Science Publishers

Access to resources Recommend Favorite

SUPFAM—a database of potential protein superfamily relationships derived by comparing sequence-based and structure-based families: implications for structural genomics and function annotation in genomes

By Pandit Shashi B.  

Nucleic Acids Research, Vol. 30, Iss. 1, 2002-01 ,pp. : 289-293

Oxford University Press

Access to resources Recommend Favorite