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Antimicrobial Data Analysis

These set of plots compare the probability of a peptide sequence containing an antimicrobial function and the percentage of cysteine and methionine within the amino acid sequence. From the plots, the red markers indicate the sequence having a high probability for having antimicrobial function, and the blue markers indicate low probability. There is no definitive trend between these two variables, but there appears to be a stronger correlation between a low antimicrobial probability and sequences containing less than 12% combination of cysteine and methionine. This is emphasized more in the data that contains a pH environment of 1.3 compared to that of a pH environment of 2. There are few discrepancies in this generalized trend, but more data points and additional simulations would help investigate if percentage of cysteine and methionine can confidently predict the peptide sequence’s function.
These plots compare the antimicrobial probability of peptide sequences and its hydrophobic percentage. Based on the plots, it suggests that there’s little definitive correlation between antimicrobial probability and hydrophobic percentage. However, the data shows that peptides with low antimicrobial probability are around 20 to 40 % hydrophobic.
These plots compare the antimicrobial probability of peptide sequences and its alpha helix, beta sheet, and coil percentage. Based on the plots, it suggests that there’s little definitive trend between antimicrobial probability and the alpha helix, beta sheet, and coil percentage. However, the data shows that peptides with 0 to low antimicrobial probability are around 10 % alpha helix, 10 % beta sheet, and 80 % coil. The trends are more observable in pH 1.3 compared to pH > 2.

A Penn State Capstone Project

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