Articulo de referencia

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 corresponden...

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, protein NMR, or, increasingly, cryoelectron microscopy.

The GDT metric was developed by Adam Zemla at Lawrence Livermore National Laboratory and originally implemented in the Local-Global Alignment (LGA) program.[1][2] It is intended as a more accurate measurement than the common root-mean-square deviation (RMSD) metric - which is sensitive to outlier regions created, for example, by poor modeling of individual loop regions in a structure that is otherwise reasonably accurate.[1] The conventional GDT_TS score is computed over the alpha carbon atoms and is reported as a percentage, ranging from 0 to 100. In general, the higher the GDT_TS score, the more closely a model approximates a given reference structure.

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.[1][3][4] The metric was first introduced as an evaluation standard in the third iteration of the biannual experiment (CASP3) in 1998.[3] Various extensions to the original method have been developed; variations that accounts for the positions of the side chains are known as global distance calculations (GDC).[5]

Calculation

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 iteratively superimposing the two structures. By the original design 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).[2] 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. The conventional GDT_TS total score in CASP is the average result of cutoffs at 1, 2, 4, and 8 Å.[1][6][7]

Variations and extensions

The original GDT_TS is calculated based on the superimpositions and GDT scores produced by the Local-Global Alignment (LGA) program.[1] A "high accuracy" version called GDT_HA is computed by selection of smaller cutoff distances (half the size of GDT_TS) and thus more heavily penalizes larger deviations from the reference structure. It was used in the high accuracy category of CASP7.[8] CASP8 defined a new "TR score", which is GDT_TS minus a penalty for residues clustered too close, meant to penalize steric clashes in the predicted structure, sometimes to game the cutoff measure of GDT.[9][10]

The primary GDT assessment uses only the alpha carbon atoms. To apply superposition‐based scoring to the amino acid residueside chains, a GDT‐like score called "global distance calculation for sidechains" (GDC_sc) was designed and implemented within the LGA program in 2008.[1][5] Instead of comparing residue positions on the basis of alpha carbons, GDC_sc uses a predefined "characteristic atom" near the end of each residue for the evaluation of inter-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.[5][7][11]

Las puntuaciones GDT generalmente se calculan con respecto a una única estructura de referencia. En algunos casos, los modelos estructurales con puntuaciones GDT más bajas con respecto a una estructura de referencia determinada por RMN de proteínas se ajustan mejor a los datos experimentales subyacentes. [ 12 ] Se han desarrollado métodos para estimar la incertidumbre de las puntuaciones GDT debido a la flexibilidad de la proteína y la incertidumbre en la estructura de referencia. [ 13 ]

Véase también

Referencias

  1. 1 2 3 4 5 6 Zemla A (2003). "LGA: Un método para encontrar similitudes 3D en estructuras proteicas" . Nucleic Acids Research . 31 (13): 3370– 3374. doi : 10.1093/nar/gkg571 . PMC 168977. PMID 12824330 .  
  2. 1 2 Patente estadounidense 8024127 B2 , Adam Zemla, "Alineación local-global para encontrar similitudes 3D en estructuras proteicas", emitida el 20 de septiembre de 2011, asignada a Lawrence Livermore National Security, LLC. 
  3. 1 2 Zemla A, Venclovas C, Moult J, Fidelis K (1999). "Procesamiento y análisis de predicciones de la estructura de la proteína CASP3". Proteins . S3 (S3): 22– 29. doi : 10.1002/(SICI)1097-0134(1999)37:3+ < 22::AID-PROT5 > 3.0.CO ; 2-W . PMID 10526349 . S2CID 29803757 .  
  4. Zemla A, Venclovas C, Moult J, Fidelis K (2001). "Procesamiento y evaluación de predicciones en CASP4". Proteins . 45 (S5): 13– 21. doi : 10.1002/prot.10052 . PMID 11835478 . S2CID 28166260 .  
  5. 1 2 3 Keedy, DA; Williams, CJ; Headd, JJ; Arendall, WB; Chen, VB; Kapral, GJ; Gillespie, RA; Block, JN; Zemla, A; Richardson, DC; Richardson, JS (2009). "El otro 90% de la proteína: Evaluación más allá del carbono α para modelos de alta precisión y basados ​​en plantillas CASP8" . Proteins . 77 (Supl. 9): 29–49 . doi : 10.1002 /prot.22551 . PMC 2877634. ​​PMID 19731372 .  
  6. Kryshtafovych, A; Prlic, A; Dmytriv, Z; Daniluk, P; Milostan, M; Eyrich, V; Hubbard, T; Fidelis, K (2007). "Nuevas herramientas y capacidades ampliadas de análisis de datos en el Centro de Predicción de Estructura de Proteínas" . Proteins . 69 Suppl 8 (S8): 19– 26. doi : 10.1002/prot.21653 . PMC 2656758. PMID 17705273 .  
  7. 1 2 "Ayuda con la tabla de resultados" . 14.º Experimento comunitario sobre la evaluación crítica de técnicas para la predicción de la estructura de proteínas . Consultado el 27 de diciembre de 2020 .
  8. Read, Randy J.; Chavali, Gayatri (2007). "Evaluación de las predicciones de CASP7 en la categoría de modelado basado en plantillas de alta precisión" . Proteins . 69 ( S8): 27–37 . doi : 10.1002/prot.21662 . PMID 17894351. S2CID 33172629 .  
  9. Shi, S; Pei, J; Sadreyev, RI; Kinch, LN; Majumdar, I; Tong, J; Cheng, H; Kim, BH; Grishin, NV (2009). "Análisis de objetivos, predicciones y métodos de evaluación de CASP8" . Database : The Journal of Biological Databases and Curation . 2009 bap003. doi : 10.1093/database/bap003 . PMC 2794793. PMID 20157476 .  Página relacionada
  10. Sadreyev, RI; Shi, S; Baker, D; Grishin, NV (15 de mayo de 2009). "Medida de similitud estructural con penalización para residuos cercanos no equivalentes" . Bioinformatics . 25 ( 10): 1259– 63. doi : 10.1093/bioinformatics/btp148 . PMC 2677741. PMID 19321733 .  
  11. Modi V, Xu QF, Adhikari S, Dunbrack RL (2016). "Evaluación del modelado basado en plantillas de la estructura de proteínas en CASP11" . Proteins . 84 ( Supl. 1): 200–220 . doi : 10.1002/prot.25049 . PMC 5030193. PMID 27081927 .  
  12. MacCallum, Justin L.; Hua, Lan; Schnieders, Michael J.; Pande, Vijay S.; Jacobson, Matthew P.; Dill, Ken A. (2009). " Evaluación de la categoría de refinamiento de la estructura de proteínas en CASP8" . Proteins: Structure, Function, and Bioinformatics . 77 (S9): 66–80 . doi : 10.1002/prot.22538 . PMC 2801025. PMID 19714776 .  
  13. Li, Wenlin; Schaeffer, R. Dustin; Otwinowski, Zbyszek; Grishin, Nick V. (5 de mayo de 2016). " Estimación de incertidumbres en la prueba de distancia global (GDT_TS) para modelos CASP" . PLOS ONE . 11 (5) e0154786. Bibcode : 2016PLoSO..1154786L . doi : 10.1371/journal.pone.0154786 . PMC 4858170. PMID 27149620 .  
  • Resultados de CASP14 : tablas resumen del último experimento CASP realizado en 2020, incluyendo ejemplos de gráficos de la puntuación GDT en función de la distancia de corte.
  • Servicios de descripción y documentación de GDT, GDC, LCS y LGA sobre comparación de estructuras y medidas de similitud.