Generate full PROCHECK analyses

PROCHECK summary for 1h6f

PROCHECK statistics

1. Ramachandran Plot statistics

                                         No. of
                                        residues     %-tage
                                         ------      ------
Most favoured regions      [A,B,L]          312       94.5%          
Additional allowed regions [a,b,l,p]         18        5.5%          
Generously allowed regions [~a,~b,~l,~p]      0        0.0%          
Disallowed regions         [XX]               0        0.0%          
                                           ----      ------
Non-glycine and non-proline residues        330      100.0%

End-residues (excl. Gly and Pro)              4

Glycine residues                             14
Proline residues                             22
                                           ----
Total number of residues                    370

Based on an analysis of 118 structures of resolution of at least 2.0 Angstroms and R-factor no greater than 20.0 a good quality model would be expected to have over 90% in the most favoured regions [A,B,L].

2. G-Factors

                                                Average
Parameter                            Score       Score
---------                            -----       -----
Dihedral angles:-
     Phi-psi distribution            -0.22      
     Chi1-chi2 distribution           0.02      
     Chi1 only                        0.03      
     Chi3 & chi4                      0.45      
     Omega                            0.28      
                                                   0.08      
                                                  =====
Main-chain covalent forces:-
     Main-chain bond lengths          0.48      
     Main-chain bond angles           0.19      
                                                   0.31      
                                                  =====

     OVERALL AVERAGE                               0.18      
                                                  =====

G-factors provide a measure of how unusual, or out-of-the-ordinary, a property is.

Values below -0.5*  - unusual
Values below -1.0** - highly unusual