Dear modeller caretakers,
please explain me the output of compare.py file,how to select the best template and what is Weighted pair-group average clustering based distance method?
thanks and regards.
---------------------------------------------------------------
Sequence identity comparison (ID_TABLE):
Diagonal ... number of residues;
Upper triangle ... number of identical residues;
Lower triangle ... % sequence identity, id/min(length).
1uluA @11jw7A @12fhsA @1
1uluA @1 246 106 101
1jw7A @1 43 274 108
2fhsA @1 41 42 258
Weighted pair-group average clustering based on a distance matrix:
.--- 1uluA @1.0 57.0000
|
.---------------------------------------------------------- 1jw7A @1.0 58.5000
|
.------------------------------------------------------------ 2fhsA @1.0
+----+----+----+----+----+----+----+----+----+----+----+----+
58.5600 58.2900 58.0200 57.7500 57.4800 57.2100 56.9400
58.4250 58.1550 57.8850 57.6150 57.3450 57.0750