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

✍ Scribed by Mehdi Jalali-Heravi; Yang Shen; Mostafa Hassanisadi; Morteza G. Khaledi

• Publisher: John Wiley and Sons
• Year: 2005
• Tongue: English
• Weight: 199 KB
• Volume: 26
• Category: Article
• ISSN: 0173-0835
• DOI: 10.1002/elps.200410308