By Guangshun Wang
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Extra resources for Antimicrobial Peptides (Advances in Molecular and Cellular Biology Series)
This practice also facilitates the transition to and adoption of newly suggested names. We should emphasize that the classification issue of AMPs is not fully resolved due to incomplete information as well as the diversity of the peptides. Therefore, accuracy will improve with the refinement of the classification schemes in the future. Correct classifications of AMPs improve information searches. Our recent updates have led to a substantial increase in both peptide entries and search functions.
7C and Fig. 7D). The essential role of arginine in α-defensins has been substantiated by Zou et al. (2007). They found that the eﬀect of arginine to lysine mutations on antibacterial activity is more pronounced for α-defensins than for β-defensins. We also analysed a set of peptides with relatively well-conserved structures. While the frequently occurring residues in 21 bacterial lantibiotics were cysteine, threonine and serine (Fig. 8A), they were cysteine and glycine in 126 plant cyclotides (Fig.
6. Average amino acid percentages of antimicrobial peptides from (A) bacteria, (B) plants and (C) animals. The numbers of peptides analysed from bacteria, plants and animals were 118, 217 and 1089, respectively. Frequently occurring residues are defined as those that have a percentage of approximately 10% or greater. 16 G. Wang et al. Fig. 7. Average amino acid percentages of (A) 548 frog antimicrobial peptides, (B) 243 helical peptides, (C) 81 AMPs with β structures and (D) 49 AMPs with an αβ fold as found for β-defensins collected in the Antimicrobial Peptide Database.