4.3 Article

HA-detected experiments for the backbone assignment of intrinsically disordered proteins

Journal

JOURNAL OF BIOMOLECULAR NMR
Volume 47, Issue 3, Pages 171-181

Publisher

SPRINGER
DOI: 10.1007/s10858-010-9421-0

Keywords

Assignment; EspF(U); H(CA)CON; iH(CA)NCO; Intrinsically unfolded proteins

Funding

  1. Academy of Finland [122170, 131144]
  2. Academy of Finland (AKA) [122170, 131144, 122170, 131144] Funding Source: Academy of Finland (AKA)

Ask authors/readers for more resources

We propose a new alpha proton detection based approach for the sequential assignment of natively unfolded proteins. The proposed protocol superimposes on following features: HA-detection (1) enables assignment of natively unfolded proteins at any pH, i.e., it is not sensitive to rapid chemical exchange undergoing in natively unfolded proteins even at moderately high pH. (2) It allows straightforward assignment of proline-rich polypeptides without additional proline-customized experiments. (3) It offers more streamlined and less ambiguous assignment based on solely intraresidual (15)N(i)-(13)C'(i)-H(alpha)(i) (or (15)N(i)-(13)C(alpha)(i)-H(alpha)(i)) and sequential (15)N(i + 1)-(13)C'(i)-H(alpha)(i) (or (15)N(i + 1)-(13)C(alpha)(i)-H(alpha)(i)) correlation experiments together with efficient use of chemical shifts of (15)N and (13)C' nuclei, which show smaller dependence on residue type. We have tested the proposed protocol on two proteins, small globular 56-residue GB1, and highly disordered, proline-rich 47-residue fifth repeat of EspF(U). Using the proposed approach, we were able to assign 90% of (1)H(alpha), (13)C(alpha), (13)C', (15)N chemical shifts in EspF(U). We reckon that the HA-detection based strategy will be very useful in the assignment of natively unfolded proline-rich proteins or polypeptide chains.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available