Probability-based protein secondary structure identification using combined NMR chemical-shift data.

ABSTRACT: For a long time, NMR chemical shifts have been used to identify protein secondary structures. Currently, this is accomplished through comparing the observed (1)H(alpha), (13)C(alpha), (13)C(beta), or (13)C' chemical shifts with the random coil values. Here, we present a new protocol, which is based on the joint probability of each of the three secondary structural types (beta-strand, alpha-helix, and random coil) derived from chemical-shift data, to identify the secondary structure. In combination with empirical smooth filters/functions, this protocol shows significant improvements in the accuracy and the confidence of identification. Updated chemical-shift statistics are reported, on the basis of which the reliability of using chemical shift to identify protein secondary structure is eval

SUBMITTER: Wang Y 

PROVIDER: S-EPMC2373532 | biostudies-literature | 2002 Apr

REPOSITORIES: biostudies-literature