Fold-recognition detects an error in the protein data bank
Fold-recognition detects an error in the protein data bank
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DOI:
10.1093/bioinformatics/18.10.1391
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发表时间:
2002-10-01
期刊:
影响因子:
5.8
通讯作者:
Fischer, D
中科院分区:
文献类型:
--
作者:
Bujnicki, J;Rychlewski, L;Fischer, D
Determining the 3D-structure of a protein by means of X-ray crystallography, requires the fitting of the amino acid sequence into an electron-density map. This can be a difficult, time-consuming task if the map is of low resolution, showing little data for the side-chains. Here we show how fold recognition allowed us to detect an error in a recently deposited PDB entry, and propose a method that can be of aid in the fitting of a sequence into a lowresolution electron-density map. The described procedure is the result of an interesting anomaly detected during the protein structure prediction benchmarking experiment, LiveBench (Bujnicki et al., 2001a). Protein structure prediction is aimed at generating approximate 3D structure models for target protein sequences of unknown structure. In particular, fold recognition or threading is aimed at those targets sharing little or no significant sequence similarity to any protein of known structure (Fischer et al., 1996). The LiveBench continuous benchmarking program assesses the performance of automatic fold-recognition servers by submitting as prediction targets the sequences of newly released PDB entries with no clear sequence similarity to previously released proteins. After collecting the predicted models from the participating servers, the predictions are assessed by comparing them to the experimental structures. Among the target sequences recently considered, were a number of chains of the newly released PDB entry 1kc9, which describes the crystal structure of the large ribosomal subunit from the bacterium D. radiodurans (Harms, 2001). This is a Cα-only structure with a resolution of 3.1 A. Here we focus on the M chain, which corresponds to the structure of residues 2-114 of the ribosomal protein L18, herein referred to as 1kc9 M. All the fold-recognition methods (Bujnicki et al., 2001b) participating in LiveBench (including iterated PSI-BLAST searches) suggested with very high confidence that a