Evidence map›Paper›PMID 41806057›Full record

ArticleJournal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry2026

Critical evaluation of two neutron structures of Mn superoxide dismutase with quantum refinement.

Kristoffer J M Lundgren, Justin Bergmann, Esko Oksanen, Ulf Ryde

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In one paragraph

Article in Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Kristoffer J M LundgrenDivision of Computational Chemistry, Lund University, Chemical Centre, P. O. Box 124, Lund, SE-221 00, Sweden.
Justin BergmannDivision of Computational Chemistry, Lund University, Chemical Centre, P. O. Box 124, Lund, SE-221 00, Sweden.
Esko OksanenDivision of Computational Chemistry, Lund University, Chemical Centre, P. O. Box 124, Lund, SE-221 00, Sweden.
Ulf RydeDivision of Computational Chemistry, Lund University, Chemical Centre, P. O. Box 124, Lund, SE-221 00, Sweden. Ulf.Ryde@compchem.lu.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2021, neutron structures of oxidised and reduced human manganese superoxide dismutase were published, suggesting several unexpected features, including deprotonated glutamate, tyrosine and histidine residues and a reduced Mn ion with two hydroxide ligands. We have used quantum refinement to evaluate whether alternative interpretations of the structures are possible, comparing many structural models with different possible protonation states or other structural interpretations. Quantum refinement is standard crystallographic refinement in which the empirical restraints, which are employed to ensure that the structure makes chemical sense and gives reasonable bond lengths and angles, are replaced by quantum mechanical calculations for a small but interesting part of the structure. We show that in all cases, there are more chemically reasonable interpretations of the structures, not involving any deprotonated residues, which give slightly improved structures in terms of real-space Z scores based on the difference maps and strain energies. Weak nuclear densities do not necessarily indicate that an atom is not present; instead it may indicate that the atom may have several conformations or shows extensive dynamics. For the Tyr-34 residue, our results indicate that the phenolic hydroxide H atom should preferably be within the aromatic ring plane (by ~20 kJ/mol), but with two possible conformations. Moreover, an Mn-bound water molecule can readily accept a hydrogen bond from the nearby Gln-143 residue.

Indexed as

NeutronsQuantum TheorySuperoxide DismutaseHumansModels, MolecularNeutron DiffractionSuperoxide Dismutasedeprotonated glutaminedeprotonated tyrosinemanganeseMn superoxide dismutaseneutron structuresquantum refinement

Identifiers

PMID41806057
PMCPMC13287255

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.