The structure assessment web server: for proteins, complexes and more.

Autor:	Waterhouse AM; Biozentrum, University of Basel, Switzerland.; SIB Swiss Institute of Bioinformatics, Computational Structural Biology, Basel, Switzerland., Studer G; Biozentrum, University of Basel, Switzerland.; SIB Swiss Institute of Bioinformatics, Computational Structural Biology, Basel, Switzerland., Robin X; Biozentrum, University of Basel, Switzerland.; SIB Swiss Institute of Bioinformatics, Computational Structural Biology, Basel, Switzerland., Bienert S; Biozentrum, University of Basel, Switzerland.; SIB Swiss Institute of Bioinformatics, Computational Structural Biology, Basel, Switzerland., Tauriello G; Biozentrum, University of Basel, Switzerland.; SIB Swiss Institute of Bioinformatics, Computational Structural Biology, Basel, Switzerland., Schwede T; Biozentrum, University of Basel, Switzerland.; SIB Swiss Institute of Bioinformatics, Computational Structural Biology, Basel, Switzerland.
Jazyk:	angličtina
Zdroj:	Nucleic acids research [Nucleic Acids Res] 2024 Jul 05; Vol. 52 (W1), pp. W318-W323.
DOI:	10.1093/nar/gkae270
Abstrakt:	The 'structure assessment' web server is a one-stop shop for interactive evaluation and benchmarking of structural models of macromolecular complexes including proteins and nucleic acids. A user-friendly web dashboard links sequence with structure information and results from a variety of state-of-the-art tools, which facilitates the visual exploration and evaluation of structure models. The dashboard integrates stereochemistry information, secondary structure information, global and local model quality assessment of the tertiary structure of comparative protein models, as well as prediction of membrane location. In addition, a benchmarking mode is available where a model can be compared to a reference structure, providing easy access to scores that have been used in recent CASP experiments and CAMEO. The structure assessment web server is available at https://swissmodel.expasy.org/assess. (© The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research.)
Databáze:	MEDLINE
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