 |
PDBsum entry 1ibm
|
|
|
|
 |
Contents |
 |
|
|
|
|
|
|
|
|
|
234 a.a.
|
 |
|
|
|
|
|
|
|
206 a.a.
|
 |
|
|
|
|
|
|
|
208 a.a.
|
 |
|
|
|
|
|
|
|
150 a.a.
|
 |
|
|
|
|
|
|
|
101 a.a.
|
 |
|
|
|
|
|
|
|
155 a.a.
|
 |
|
|
|
|
|
|
|
138 a.a.
|
 |
|
|
|
|
|
|
|
127 a.a.
|
 |
|
|
|
|
|
|
|
98 a.a.
|
 |
|
|
|
|
|
|
|
119 a.a.
|
 |
|
|
|
|
|
|
|
124 a.a.
|
 |
|
|
|
|
|
|
|
118 a.a.
|
 |
|
|
|
|
|
|
|
60 a.a.
|
 |
|
|
|
|
|
|
|
88 a.a.
|
 |
|
|
|
|
|
|
|
83 a.a.
|
 |
|
|
|
|
|
|
|
104 a.a.
|
 |
|
|
|
|
|
|
|
73 a.a.
|
 |
|
|
|
|
|
|
|
87 a.a.
|
 |
|
|
|
|
|
|
|
99 a.a.
|
 |
|
|
|
|
|
|
|
24 a.a.
|
 |
|
|
|
|
|
|
|
|
* Residue conservation analysis
|
|
|
|
|
Generate full PROCHECK analyses
|
PROCHECK summary for 1ibm
Ramachandran plot
PROCHECK statistics
1. Ramachandran Plot statistics
No. of
residues %-tage
------ ------
Most favoured regions [A,B,L] 1427 69.0%**
Additional allowed regions [a,b,l,p] 528 25.5%
Generously allowed regions [~a,~b,~l,~p] 77 3.7%
Disallowed regions [XX] 35 1.7%*
---- ------
Non-glycine and non-proline residues 2067 100.0%
End-residues (excl. Gly and Pro) 29
Glycine residues 193
Proline residues 107
----
Total number of residues 2396
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 -1.16**
Chi1-chi2 distribution -0.49
Chi1 only -0.15
Chi3 & chi4 0.48
Omega 0.60
-0.19
=====
Main-chain covalent forces:-
Main-chain bond lengths 0.62
Main-chain bond angles 0.38
0.48
=====
OVERALL AVERAGE 0.07
=====
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
Important note: The main-chain
bond-lengths and bond angles are compared with
the Engh & Huber (1991) ideal values derived
from small-molecule data. Therefore, structures
refined using different restraints may show
apparently large deviations from normality.
|
|
 |