How to choose templates for modeling of protein complexes: Insights from benchmarking template-based docking.
Proteins
; 88(8): 1070-1081, 2020 08.
Article
en En
| MEDLINE
| ID: mdl-31994759
Comparative docking is based on experimentally determined structures of protein-protein complexes (templates), following the paradigm that proteins with similar sequences and/or structures form similar complexes. Modeling utilizing structure similarity of target monomers to template complexes significantly expands structural coverage of the interactome. Template-based docking by structure alignment can be performed for the entire structures or by aligning targets to the bound interfaces of the experimentally determined complexes. Systematic benchmarking of docking protocols based on full and interface structure alignment showed that both protocols perform similarly, with top 1 docking success rate 26%. However, in terms of the models' quality, the interface-based docking performed marginally better. The interface-based docking is preferable when one would suspect a significant conformational change in the full protein structure upon binding, for example, a rearrangement of the domains in multidomain proteins. Importantly, if the same structure is selected as the top template by both full and interface alignment, the docking success rate increases 2-fold for both top 1 and top 10 predictions. Matching structural annotations of the target and template proteins for template detection, as a computationally less expensive alternative to structural alignment, did not improve the docking performance. Sophisticated remote sequence homology detection added templates to the pool of those identified by structure-based alignment, suggesting that for practical docking, the combination of the structure alignment protocols and the remote sequence homology detection may be useful in order to avoid potential flaws in generation of the structural templates library.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Péptidos
/
Programas Informáticos
/
Proteínas
/
Simulación del Acoplamiento Molecular
Tipo de estudio:
Guideline
/
Prognostic_studies
Límite:
Animals
/
Humans
Idioma:
En
Revista:
Proteins
Asunto de la revista:
BIOQUIMICA
Año:
2020
Tipo del documento:
Article
Pais de publicación:
Estados Unidos