In:
Acta Crystallographica Section D Structural Biology, International Union of Crystallography (IUCr), Vol. 79, No. 9 ( 2023-09-01), p. 806-819
Abstract:
In late 2020, the results of CASP14, the 14th event in a series of competitions to assess the latest developments in computational protein structure-prediction methodology, revealed the giant leap forward that had been made by Google's Deepmind in tackling the prediction problem. The level of accuracy in their predictions was the first instance of a competitor achieving a global distance test score of better than 90 across all categories of difficulty. This achievement represents both a challenge and an opportunity for the field of experimental structural biology. For structure determination by macromolecular X-ray crystallography, access to highly accurate structure predictions is of great benefit, particularly when it comes to solving the phase problem. Here, details of new utilities and enhanced applications in the CCP 4 suite, designed to allow users to exploit predicted models in determining macromolecular structures from X-ray diffraction data, are presented. The focus is mainly on applications that can be used to solve the phase problem through molecular replacement.
Type of Medium:
Online Resource
ISSN:
2059-7983
DOI:
10.1107/S2059798323006289
DOI:
10.1107/S2059798323006289/qo5005sup1.xlsx
Language:
Unknown
Publisher:
International Union of Crystallography (IUCr)
Publication Date:
2023
detail.hit.zdb_id:
2968623-4
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