Global distance test

The global distance test (GDT), also written as GDT_TS to represent 'total score', is a measure of similarity between two protein structures with known amino acid correspondences (e.g. identical amino acid sequences) but different tertiary structures. It is most commonly used to compare the results of protein structure prediction to the experimentally determined structure as measured by X-ray crystallography or protein NMR. The metric is intended as a more accurate measurement than the more common RMSD metric, which is sensitive to outlier regions created by poor modeling of individual loop regions in a structure that is otherwise reasonably accurate. GDT_TS measurements are used as major assessment criteria in the production of results from the Critical Assessment of Structure Prediction (CASP), a large-scale experiment in the structure prediction community dedicated to assessing current modeling techniques and identifying their primary deficiencies. In general, the higher GDT_TS is, the better a given model is in comparison to reference structure. The global distance test (GDT), also written as GDT_TS to represent 'total score', is a measure of similarity between two protein structures with known amino acid correspondences (e.g. identical amino acid sequences) but different tertiary structures. It is most commonly used to compare the results of protein structure prediction to the experimentally determined structure as measured by X-ray crystallography or protein NMR. The metric is intended as a more accurate measurement than the more common RMSD metric, which is sensitive to outlier regions created by poor modeling of individual loop regions in a structure that is otherwise reasonably accurate. GDT_TS measurements are used as major assessment criteria in the production of results from the Critical Assessment of Structure Prediction (CASP), a large-scale experiment in the structure prediction community dedicated to assessing current modeling techniques and identifying their primary deficiencies. In general, the higher GDT_TS is, the better a given model is in comparison to reference structure. The GDT score is calculated as the largest set of amino acid residues' alpha carbon atoms in the model structure falling within a defined distance cutoff of their position in the experimental structure, after superimposing the two structures. By the original design (Patent No.: US 8,024,127 B2) the GDT algorithm calculates 20 GDT scores, i.e. for each of 20 consecutive distance cutoffs (0.5 Å, 1.0 Å, 1.5 Å, ... 10.0 Å). For structure similarity assessment it is intended to use the GDT scores from several cutoff distances, and scores generally increase with increasing cutoff. A plateau in this increase may indicate an extreme divergence between the experimental and predicted structures, such that no additional atoms are included in any cutoff of a reasonable distance (see GDT plots). The conventional GDT_TS total score in CASP is the average result of cutoffs at 1, 2, 4, and 8 Å. The original GDT_TS is calculated based on the superimpositions and GDT scores produced by the Local Global Alignment (LGA) program. A high accuracy version called GDT_HA is done by selection of smaller cutoff distances (half the size of GDT_TS) and thus is more rigorous. It was used in the high accuracy category of CASP7. CASP8 defines a new 'TR score', which is GDT_TS minus a penalty for residues clustered to close, meant to represent steric clashes invented by the predictor, sometimes to game the cutoff measure of GDT. The primary GDT assessment uses only the Cα atoms. To apply superposition‐based scoring to the functional ends of protein sidechains, a GDT‐like score called global distance calculation for sidechains (GDC_sc) has been designed and implemented within the LGA program in 2008. Instead of comparing residue positions on the basis of Cαs, GDC_sc uses a characteristic atom near the end of each sidechain type for the evaluation of residue–residue distance deviations. An 'all atoms' variant of the GDC score (GDC_all) is calculated using full-model information, and is one of the standard measures used by CASP's organizers and assessors to evaluate accuracy of predicted structural models.