Works (1)

Updated: July 5th, 2023 15:57

2005 journal article

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

ELECTROPHORESIS, 26(10), 1874–1885.

By: M. Jalali-Heravi n, Y. Shen n, M. Hassanisadi n & M. Khaledi n

co-author countries: United States of America 🇺🇸
author keywords: artificial neural networks; capillary zone electrophoresis; electrophoretic mobility; peptide separation and mapping; structure-mobility relationship
MeSH headings : Electrophoresis, Capillary / methods; Neural Networks, Computer; Peptides / chemistry; Peptides / isolation & purification; Regression Analysis; Reproducibility of Results; Structure-Activity Relationship
Source: Web Of Science
Added: August 6, 2018

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