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. 2019 Jan 28;8(2):95. doi: 10.3390/cells8020095

Table 3.

Statistics of feature encoding schemes used in the aforementioned succinylation site prediction tools.

Encoding Types Genetic Explanation References
AAindex Based on the AAindex indices database, the encoding scheme of AAindex reveals the biochemical properties of the sequences. [56,59,62]
ACF The auto correlation function features for surrounding succinylation sequences. [54]
EBGW Coding based on grouped weight of physicochemical properties of sequences surrounding succinylation sites. [54]
VDWV Van der Waals volume properties of surrounding succinylation sequences. [54]
WAAC Position weight amino acid composition of surrounding succinylation sequences. [54]
AAC The amino acid composition characterizes the specific state of the surrounding succinylation sequences. [65]
CKSAAP The CKSAAP encoding represents the short sequence motif information in surrounding succinylation sites. [56,59]
PseAAC The pseudo amino acid composition reflects a vectorized sequence-coupling model of surrounding succinylation sites. [56,61,70]
SF The predicted structural feature reflects the structural properties of protein in surrounding succinylation sites. [66]
Binary The position-specific information measured by binary profile for the curated sequences. [59,62,65]
PSSM The PSSM exposes the evolutionary information from the sequences. [57]
pCKSAAP The pCKSAAP reflects the sequence patterns and evolutionary information from the query sequences. [62,65]

Data of Table 1 is used.