Using Support Vector Machine Regression to Model the Retention of Peptides in Immobilized Metal-affinity Chromatography.
Retention of histidine-containing peptides in immobilized metal-affinity chromatography (IMAC) has been studied using several hundred model peptides. Retention in a Nickel column is primarily driven by the number of histidine residues; however, the amino acid composition of the peptide also plays a significant role. A regression model based on support vector machines was used to learn and subsequently predict the relationship between the amino acid composition and the retention time on a Nickel column. The model was predominantly governed by the count of the histidine residues, and the isoelectric point of the peptide.
Kermani
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Illumina, Inc. 9885 Towne Centre Drive, San Diego, CA 92122.
Kozlov
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I
Melnyk
P
P
Zhao
C
C
Hachmann
J
J
Barker
D
D
Lebl
M
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