ArticleIUCrJ2025
FLEXR-MSA: electron-density map comparisons of sequence-diverse structures.
Article in IUCrJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
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Authors and funding
2 authors.
Funding
Abstract
Proteins with near-identical sequences often share similar static structures. Yet, comparing crystal structures is limited or even biased by what has been included or omitted in the deposited model. Information about unique dynamics is often hidden in electron-density maps. Currently, automatic map comparisons are limited to sequence-identical structures. To overcome this limitation, we developed FLEXR-MSA, which enables unbiased electron-density map comparisons of sequence-diverse structures by coupling multiple sequence alignment (MSA) with electron-density sampling. FLEXR-MSA generates visualizations that pinpoint low-occupancy features on the residue level and chart them across the protein surface to reveal global changes. To exemplify the utility of this tool, we probed electron densities for protein-wide alternative conformations of HSP90 across four human isoforms and other homologs. Our analysis demonstrates that FLEXR-MSA can reveal hidden differences among HSP90 variants bound to clinically important ligands. Integrating this new functionality into the FLEXR suite of tools links the comparison of conformational landscapes hidden in electron-density maps to the building of multi-conformer models that reveal structural/functional differences that might be of interest when designing selective ligands.
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Registered trials
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.