forthcoming articles

The following articles are a selection of those recently accepted for publication in Acta Crystallographica Section D: Structural Biology.

See also Forthcoming articles in all IUCr journals.

Accepted 14 October 2026

Fragment-based active-site exploration of urethane hydrolases reveals a diversity of urethane binding modes

Fragment-based active site exploration of urethanases to elucidate polyurethane binding and cleavage

Accepted 13 October 2026

Defining the conformational landscape of glycogen synthase kinase 3 beta (GSK3β)

This article presents a systematic structural curation of all deposited GSK3β crystal structures to map its conformational ensemble, revealing eight distinct conformational states.

Accepted 5 October 2026

Crystal structures of SARS-CoV-2 main protease and its complex with PBI-0451

Crystal structures of SARS-CoV-2 main protease (Mpro) and its complex with PBI-0451 expand the conformational landscape of Mpro and offer structural guidance for the design of Mpro-targeted antiviral drugs.

Accepted 5 October 2026

Structural identification of endogenous Escherichia coli proteins from heterogeneous cryo-electron microscopy datasets

Cryo-EM analysis of a size-exclusion chromatography fraction initially attributed to an oligomeric form of a recombinant OGFOD1 protein expressed in Escherichia coli instead revealed three endogenous E. coli proteins: ArnA, GTP cyclohydrolase I and glycerol dehydrogenase. The three protein assemblies had comparable predicted hydrodynamic radii, which plausibly explained their partial coelution during size-exclusion chromatography, indicating that rigid, symmetric endogenous complexes can dominate heterogeneous cryo-EM datasets and highlighting the value of systematic analysis of off-target particle populations.

Accepted 1 October 2026

Experiences developing structural biology tools with AI coding assistance

Artificial intelligence (AI)-assisted development can significantly reduce the effort of coding scientific tools and software. At the same time, the approach requires detailed oversight, as well as domain knowledge and codebase expertise. The conditions under which AI assistance is reliable, the kinds of mistakes coding LLMs can make and why expert judgment is necessary are examined through the example of developing a new CIF file parser that focuses particularly on speed of execution.