Comparison of the effects of hydrophobicity, amphiphilicity, and alpha-helicity on the activities of antimicrobial peptides

Multiple linear regression was used to quantify the dependence of the antimicrobial activity of 13 peptides upon three calculated or experimentally determined parameters: mean hydrophobicity, mean hydrophobic moment, and alpha-helix content. Mean hydrophobic moment is a measure of the amphiphilicity...

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Published inProteins, structure, function, and bioinformatics Vol. 22; no. 2; p. 182
Main Authors Pathak, N, Salas-Auvert, R, Ruche, G, Janna, M H, McCarthy, D, Harrison, R G
Format Journal Article
LanguageEnglish
Published United States 01.06.1995
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Abstract Multiple linear regression was used to quantify the dependence of the antimicrobial activity of 13 peptides upon three calculated or experimentally determined parameters: mean hydrophobicity, mean hydrophobic moment, and alpha-helix content. Mean hydrophobic moment is a measure of the amphiphilicity of peptides in an alpha-helical conformation. Antimicrobial activity was quantified as the reciprocal of the measured minimal inhibitory concentration (MIC) against Escherichia coli. One of the peptides was magainin 2, and the remainder were novel peptides designed for this study. The multiple linear regression results revealed that the amphiphilicity of the peptides was the most important factor governing antimicrobial activity compared to mean hydrophobicity or alpha-helix content. A better regression of the data was obtained using ln(1/MIC+constant) as the dependent variable than with either 1/MIC or ln(1/MIC). These results should be useful in designing peptides with higher antimicrobial activity.
AbstractList Multiple linear regression was used to quantify the dependence of the antimicrobial activity of 13 peptides upon three calculated or experimentally determined parameters: mean hydrophobicity, mean hydrophobic moment, and alpha-helix content. Mean hydrophobic moment is a measure of the amphiphilicity of peptides in an alpha-helical conformation. Antimicrobial activity was quantified as the reciprocal of the measured minimal inhibitory concentration (MIC) against Escherichia coli. One of the peptides was magainin 2, and the remainder were novel peptides designed for this study. The multiple linear regression results revealed that the amphiphilicity of the peptides was the most important factor governing antimicrobial activity compared to mean hydrophobicity or alpha-helix content. A better regression of the data was obtained using ln(1/MIC+constant) as the dependent variable than with either 1/MIC or ln(1/MIC). These results should be useful in designing peptides with higher antimicrobial activity.
Author Harrison, R G
Salas-Auvert, R
Pathak, N
McCarthy, D
Janna, M H
Ruche, G
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Snippet Multiple linear regression was used to quantify the dependence of the antimicrobial activity of 13 peptides upon three calculated or experimentally determined...
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StartPage 182
SubjectTerms Amino Acid Sequence
Amino Acids - chemistry
Anti-Bacterial Agents - chemistry
Anti-Bacterial Agents - pharmacology
Antimicrobial Cationic Peptides
Circular Dichroism
Escherichia coli - drug effects
Linear Models
Magainins
Microbial Sensitivity Tests
Molecular Sequence Data
Protein Structure, Secondary
Xenopus Proteins
Title Comparison of the effects of hydrophobicity, amphiphilicity, and alpha-helicity on the activities of antimicrobial peptides
URI https://www.ncbi.nlm.nih.gov/pubmed/7567965
Volume 22
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