_1597134364 1597134364 Hamid Shirkhanloo sahar.zi67@gmail.com Hamid Shirkhanloo Analytical Methods in Environmental Chemistry Journal AMECJournal 2645-5382 2645-5552 06 25 2020 3 02 10.24200/amecj.v3.i02 http://journal.amecj.com/index.php/AMECJ-01/issue/view/12 Mustafa Sadi Morteza G. Khaledi Mehdi Jalali-Heravi Mobility of 128 peptides composed of up to 14 amino acids is determined for sodium dodecyl sulfate (SDS) micellar systems using micellar electrokinetic chromatography (MEKC). The mobilities of these peptides are predicted using back propagation of error artificial neural networks (BP-ANNs). Adaptive neuro-fuzzy inference system (ANFIS) which can deal with linear and nonlinear phenomena is used to select the inputs of BP-ANN. A 3:4:1 BP-ANN model with four variables of Kappa  substituent constant, Kappa(H), number of peptide bonds, (ln(N), molar refractivity of C-terminal, MRC, and steric effects at N-terminal, ES,N, which incorporate substituent, steric and molar refractivity effects as its inputs was developed. Comparison of Multiple Linear Regression (MLR) and ANN results shows the nonlinear characteristic of the phenomena. The nonlinear model was successful in predicting the mobilities of 120 peptides except for the ones (8 peptides) with negatively charged amino acids. 06 30 2020 5 20 http://creativecommons.org/licenses/by/4.0 10.24200/amecj.v3.i02.98 http://journal.amecj.com/index.php/AMECJ-01/article/view/98 http://journal.amecj.com/index.php/AMECJ-01/article/download/98/193 http://journal.amecj.com/index.php/AMECJ-01/article/download/98/193