Evidence map›Paper›PMID 40014007›Full record

ArticleIUCrJ2025

FLEXR-MSA: electron-density map comparisons of sequence-diverse structures.

Timothy R Stachowski, Marcus Fischer

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

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.

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

2 authors.

Timothy R StachowskiDepartment of Chemical Biology and Therapeutics, MS 1000, St Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN 38105, USA.ORCID 0000-0002-6097-4857
Marcus FischerDepartment of Chemical Biology and Therapeutics, MS 1000, St Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN 38105, USA.ORCID 0000-0002-7179-2581

Funding

Exploiting Water Network Perturbations in Protein Binding SitesR35GM142772 · NIGMS · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI FISCHER, MARCUS · 2021 to 2025
$2.2M
National Institutes of Health, National Institute of General Medical Sciences R35GM142772NIGMS NIH HHS R35 GM142772
6 · The paper itself

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.

Indexed as

HSP90 Heat-Shock ProteinsSequence AlignmentHumansModels, MolecularProtein ConformationHSP90 Heat-Shock Proteinsdynamicselectron-density samplingHSP90isoformsligand discoveryprotein conformational landscape

Identifiers

PMID40014007
PMCPMC11878447

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Registered trials

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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.