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Briefly, the amino acid were categorized according to their properties (i.e. hydrophobicity, normalized van dar Waals volume, polarity, polarizability, charge, secondary structure and solvent accessibility) which are denoted as sub-class 1, sub-class 2 and sub-class 3. The composition descriptors is the global percentage for each class of each sequence.
They include amino acid composition, dipeptide composition, sequence autocorrelation descriptors, sequence coupling descriptors, and the descriptors for the composition, transition and distribution of hydrophibicity, polarity, polarizibility, charge, secondary structures, and normalized Van der Waals volumes.
For example, Mallick et al. have classified a peptide as being proteotypic if it was observed in >50% of all identifications of a corresponding protein (based on data obtained from large yeast proteomic archives), and evaluated 494 numeric physicochemical property scales for amino acids (e.g., charge, secondary structure, hydrophobicity, etc).
Three descriptors, composition (C), transition (T) and distribution (D), are derived for each of the following physicochemical properties: hydrophibicity, polarity, polarizibility, charge, secondary structures, and normalized Van der Waals volume (Dubchak et al. 1995; Dubchak et al. 1999; Cai et al. 2003).
The authors study possible correlations between protein sequence variability and a series of associated properties (polarity, electrostatic charge, secondary structure, molecular volume and amino acid composition) and find particular trends, which suggest that particular physico-chemical properties are associated with particular functional roles.
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