Prediction of electrophoretic mobilities of peptides in capillary zone electrophoresis by quantitative structure-mobility relationships using the offord model and artificial neural networks-Reference-Cited by-同舟云学术

Prediction of electrophoretic mobilities of peptides in capillary zone electrophoresis by quantitative structure-mobility relationships using the offord model and artificial neural networks

Published:2005-05 Issue:10 Volume:26 Page:1874-1885
ISSN:0173-0835
Container-title:ELECTROPHORESIS
language:en
Short-container-title:Electrophoresis

Author:

Jalali-Heravi Mehdi,Shen Yang,Hassanisadi Mostafa,Khaledi Morteza G.

Publisher

Wiley

Subject

Clinical Biochemistry,Biochemistry,Analytical Chemistry

Reference38 articles.

1. Recent advances in capillary electrophoresis and capillary electrochromatography of peptides

2. A semiempirical model for the electrophoretic mobilities of peptides in free-solution capillary electrophoresis

3. Electrophoretic Mobilities of Peptides on Paper and their Use in the Determination of Amide Groups

4. Electrophoretic mobility modeling of proteins in free zone capillary electrophoresis and its application to monoclonal antibody microheterogeneity analysis

5. Rules relating electrophoretic mobility, charge and molecular size of peptides and proteins

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