Wednesday, 15 January 2014

Native deviations from ideality : Essential for protein structural integrity


Native deviations in main-chain geometrical parameters seems crucial for structural integrity of proteins. These deviations are non-random, strategic and context dependent and it seems extremely difficult to predict them given the native main- and side-chain torsion angle profiles of a given structure. In this work, proteins of diverse folds and lengths were gathered spanning the four major protein classes and ranging from ~50 to ~375 residues in chain length and the structures rebuilt by (successive forth atom fixations) reverting all main-chain bond lengths, angles and ω-torsions to their corresponding unimodal ideal values (as tabulated in relevant repositories), while retaining native values for all other dihedral angles (φ, ψ, χ). To much of our surprise, this led to such large-scale distortions in the idealized structures (with respect to the original native model) that often their (Cα) RMSDs exceeded 10 Å (Fig. 1). Although the degree of structural distortions is estimated by the RMSDs, its effect on packing and electrostatics can be conveniently assessed using the CP measures [1, 2]. The distortions were more pronounced for larger polypeptide chains (~100 residues or more in length) due to the accumulation of a higher number of angular idealizations. Also, proteins containing greater β-sheet content had more severe deformations most probably rationalized by the distribution in N-Cα-C (τ) angle with respect to secondary structure. Little or no improvement was observed in the quality of the rebuilt structures by either retaining native ω values or utilizing ideal values (for bond angles) derived from a conformation dependent library (CDL) (Fig. 2) (http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2810841/). Energy minimization of these idealized structures did not improve the (Cα) RMSDs (calculated at a one-to-one atomic correspondence subsequent to superposition) between native and idealized coordinates, which in some instances could not even be superposed onto each other (Table 1). Thus, in summary, in no case could the original structure be reconstituted by any form of energy minimization of the idealized coordinates. Calculations using both unimodal and CDL ideal values were repeated on a larger dataset of ultrahigh resolution (≤ 1 Ǻ) structures, which gave a similar pattern of results. Attempts are being carried out to device strategies to predict these deviations in a structure jammed with its native torsion angles. 



Fig. 1. Distortions in the native fold due to the reversal of all main-chain bond lengths, angles and ω-torsions to their corresponding (unimodal) ideal values. (A) the native structure of cyclophilin from L. donovani (2HAQ) and (B) its corresponding idealized structure (Cα-RMSD: 12.86 Ǻ, calculated at one-to-one atomic correspondence). 



Fig. 2. Effect of CDL-idealization probed by CP. Distribution for (A) the native polypeptide chain (1PGS) and (B) its corresponding idealized structure generated utilizing CDL ideal values.


Table 1. Structural distortions due to idealization as reflected in the RMSDs. 

PDB ID

RMSD (Ǻ) a
Idealized
vs. native

Idealized
& Energy Minimized
vs. native b
1AKO
13.98
-c
1BGF
7.30
6.77
1CEM
16.61
17.35
1CHD
22.42
22.18
1CKA
3.05
3.10
1ERZ
24.44
22.78
1HBQ
22.60
-
1IFC
11.30
11.48
1LMB
4.56
4.56
1MKB
-
-
1MLA
23.33
22.05
1PDO
4.56
5.29
1PGS
-
-
1SFP
-
-
1SRV
13.82
-
1STN
18.02
18.10
1UBI
4.31
4.14
2CPL
12.52
12.58
2END
7.64
7.41
2LIS
9.09
9.11

a RMSDs calculated between Cα atoms of idealized (all main-chain bond lengths, bond angles and ω) and the native coordinates (calculated at a one-to-one atomic correspondence) subsequent to superposition by Dali server.
b The same calculation was repeated for energy minimized coordinates subsequent to idealization.
c ‘-’ stands for non-superposable structures. 

References:  


Sankar Basu, Dhananjay Bhattacharyya, and Rahul Banerjee*

Biophysical Journal, 2012, 102 (11) : 2605-2614





3. Applications of the complementarity plot in error detection and structure validation of proteins
Sankar Basu, Dhananjay Bhattacharyya, and Rahul Banerjee*
Indian Journal of Biochemistry and Biophysics, 2014, 51 (June) : 188-200
Sankar Basu*, Dhananjay Bhattacharyya, and Rahul Banerjee*

Journal of Bioinformatics and Intelligent Control, 2013, 2 (4) : 321-323





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