Table 1.

All Features that were used in order to train the machine learning algorithm. Each of these features was calculated for each of the clusters

Feature	Description
Aliscore	The number of positions identified by Aliscore as randomly aligned
Length	The length of the alignment
# of Sequences	The number of sequences in the alignment
# of Gaps	Number of base positions marked with a gap
# of Amino Acids	Number of amino acids in the alignment
Range	Longest non-aligned sequence length minus shortest non-aligned sequence length
Amino Acid Charged	Standard deviation for the proportions of amino acids in the charged class for each sequence
Amino Acid Uncharged	Standard deviation for the proportions of amino acids in the uncharged class for each sequence
Amino Acid Special	Standard deviation for the proportions of amino acids in the non-charged and non-hydrophobic class for each sequence
Amino Acid Hydrophobic	Standard deviation for the proportions of amino acids in the hydrophobic class for each sequence