The success rate of processed predicted models in molecular replacement: implications for experimental phasing in the AlphaFold era.
AlphaFold2
computational methods
experimental phasing
molecular replacement
Journal
Acta crystallographica. Section D, Structural biology
ISSN: 2059-7983
Titre abrégé: Acta Crystallogr D Struct Biol
Pays: United States
ID NLM: 101676043
Informations de publication
Date de publication:
01 Nov 2024
01 Nov 2024
Historique:
medline:
3
10
2024
pubmed:
3
10
2024
entrez:
3
10
2024
Statut:
aheadofprint
Résumé
The availability of highly accurate protein structure predictions from AlphaFold2 (AF2) and similar tools has hugely expanded the applicability of molecular replacement (MR) for crystal structure solution. Many structures can be solved routinely using raw models, structures processed to remove unreliable parts or models split into distinct structural units. There is therefore an open question around how many and which cases still require experimental phasing methods such as single-wavelength anomalous diffraction (SAD). Here, this question is addressed using a large set of PDB depositions that were solved by SAD. A large majority (87%) could be solved using unedited or minimally edited AF2 predictions. A further 18 (4%) yield straightforwardly to MR after splitting of the AF2 prediction using Slice'N'Dice, although different splitting methods succeeded on slightly different sets of cases. It is also found that further unique targets can be solved by alternative modelling approaches such as ESMFold (four cases), alternative MR approaches such as ARCIMBOLDO and AMPLE (two cases each), and multimeric model building with AlphaFold-Multimer or UniFold (three cases). Ultimately, only 12 cases, or 3% of the SAD-phased set, did not yield to any form of MR tested here, offering valuable hints as to the number and the characteristics of cases where experimental phasing remains essential for macromolecular structure solution.
Identifiants
pubmed: 39360967
pii: S2059798324009380
doi: 10.1107/S2059798324009380
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/S007105/1
Pays : United Kingdom
Informations de copyright
open access.