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Bioinformatics approaches to predict the effect of mutations on protein stability utilizes the sequence alignment information of evolutionarily related sequences [51] or protein families or rely on physicochemical modeling of the mutation augmented by information obtained from statistical analyses of protein sequences and three-dimensional structures [52].
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To solve the problem of the sequence alignment, in [ 9], they utilize the concept of amino acid composition and pseudo amino acid composition (PseAAC) to represent the AMPs sequence.
R.V.C. contributed the sequence alignment.
We thank S. Onesti for supervising the sequence alignment analysis.
AZ participated in the sequence alignment.
Qiang Huang participated in the sequence alignment.
SS participated in the sequence alignment.
EJC participated in the sequence alignment.
SCQ participated in the sequence alignment.
The sequence alignment appears in Figure S1.
JF did the sequence alignment.
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