Evidence map›Paper›PMID 40496892›Full record

ArticleComputational and structural biotechnology journal2025

Bridging prediction and reality: Comprehensive analysis of experimental and AlphaFold 2 full-length nuclear receptor structures.

Akerke Mazhibiyeva, Tri T Pham, Karina Pats, Martin Lukac, Ferdinand Molnár

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Protein Structural Phylogenetics.Genome biology and evolution · 2025
    Review
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

5 authors.

Akerke MazhibiyevaLaboratory of Computational Structural Biology, Department of Biology, Nazarbayev University, Kabanbay Batyr 53, Astana, 010000, Kazakhstan.
Tri T PhamLaboratory of Mechanobiology, Department of Biology, Nazarbayev University, Kabanbay Batyr 53, Astana, 010000, Kazakhstan.
Karina PatsLaboratory of Computational Structural Biology, Department of Biology, Nazarbayev University, Kabanbay Batyr 53, Astana, 010000, Kazakhstan.
Martin LukacDepartment of Computer Networks and Engineering, Hiroshima City University, 3-4-1 Oozukahigashi, Asaminami-ku, Hiroshima-shi, 731-3166, Japan.
Ferdinand MolnárLaboratory of Computational Structural Biology, Department of Biology, Nazarbayev University, Kabanbay Batyr 53, Astana, 010000, Kazakhstan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AlphaFold 2 has revolutionized protein structure prediction, yet systematic evaluations of its performance against experimental structures for specific protein families remain limited. Here we present the first comprehensive analysis comparing AlphaFold 2-predicted and experimental nuclear receptor structures, examining root-mean-square deviations, secondary structure elements, domain organization, and ligand-binding pocket geometry. While AlphaFold2 achieves high accuracy in predicting stable conformations with proper stereochemistry, it shows limitations in capturing the full spectrum of biologically relevant states, particularly in flexible regions and ligand-binding pockets. Statistical analysis reveals significant domain-specific variations, with ligand-binding domains showing higher structural variability (CV = 29.3%) compared to DNA-binding domains (CV = 17.7%). Notably, Alphafold 2 systematically underestimates ligand-binding pocket volumes and captures only single conformational states in homodimeric receptors where experimental structures show functionally important asymmetry. These findings provide critical insights for structure-based drug design targeting nuclear receptors and establish a framework for evaluating Alphafold 2 predictions across other protein families.

Indexed as

AlphaFold 2Conformational diversityDomain architectureNuclear receptorsPrediction accuracyStructural comparison

Identifiers

PMID40496892
PMCPMC12149446

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.