Evidence map›Paper›PMID 38215214›Full record

ArticleJournal of chemical theory and computation2024

Approximating Projections of Conformational Boltzmann Distributions with AlphaFold2 Predictions: Opportunities and Limitations.

Benjamin P Brown, Richard A Stein, Jens Meiler, Hassane S Mchaourab

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
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  4. Article
  5. Review
  6. Article
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  9. Review
  10. Review
  11. Structure Prediction of Alternate Frame Folding Systems with AlphaFold3.Journal of chemical information and modeling · 2025
    Article
  12. Article
  13. Protein Modeling with DEER Spectroscopy.Annual review of biophysics · 2025
    Review
  14. Harnessing AlphaFold to reveal hERG channel conformational state secrets.bioRxiv : the preprint server for biology · 2025
    Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. ESM-scan-A tool to guide amino acid substitutions.Protein science : a publication of the Protein Society · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Benjamin P BrownDepartment of Chemistry, Vanderbilt University, Nashville, Tennessee 37232, United States.ORCID 0000-0001-5296-087X
Richard A SteinCenter for Applied AI in Protein Dynamics, Vanderbilt University, Nashville, Tennessee 37232, United States.
Jens MeilerDepartment of Chemistry, Vanderbilt University, Nashville, Tennessee 37232, United States.
Hassane S MchaourabCenter for Structural Biology, Vanderbilt University, Nashville, Tennessee 37232, United States.

Funding

Structural Dynamics of Multi-drug TransportersR01GM077659 · NIGMS · VANDERBILT UNIVERSITY · PI MCHAOURAB, HASSANE S · 2006 to 2023
$5.0M
Membrane Protein Structure Elucidation from sparse NMR data (KAMP)R01GM080403 · NIGMS · VANDERBILT UNIVERSITY · PI MEILER, JENS · 2007 to 2019
$3.0M
Structural Determinants of Allosteric Modulation of Brain GPCRsR01DA046138 · NIDA · VANDERBILT UNIVERSITY · PI MEILER, JENS · 2019 to 2023
$2.0M
Developing a computational platform for induced-fit and chemogenetic drug designDP1DA058349 · NIDA · VANDERBILT UNIVERSITY · PI Benjamin Patrick Brown · 2023 to 2026
$1.9M
Structural Dynamics of Active TransportersR35GM152382 · NIGMS · VANDERBILT UNIVERSITY · PI Hassane S Mchaourab · 2024 to 2026
$1.7M
Mechanistic insights into Variants of Uncertain Significance (VUS) using novel EGFR variants as a paradigmR01CA227833 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI LOVLY, CHRISTINE M., MEILER, JENS · 2019 to 2023
$1.7M
Structural dynamics of peptide-translocating ABC transportersR01GM128087 · NIGMS · VANDERBILT UNIVERSITY · PI MCHAOURAB, HASSANE S · 2019 to 2022
$1.7M
Personalized Structural Biology: Enabling Exome Interpretation in Undiagnosed DiseasesR01LM013434 · NLM · VANDERBILT UNIVERSITY · PI CAPRA, JOHN ANTHONY, MEILER, JENS · 2021 to 2024
$1.4M
GPU-Accelerated Parallel Computer for Life Sciences ResearchS10OD032234 · OD · VANDERBILT UNIVERSITY · PI SMITH, JARROD ANSON · 2022 to 2022
$600k
Parallel Computer with High Memory NodesS10OD016216 · OD · VANDERBILT UNIVERSITY · PI PISTON, DAVID W · 2013 to 2013
$598k
GPU-Accelerated Parallel Computer for Drug Discovery ApplicationsS10OD020154 · OD · VANDERBILT UNIVERSITY · PI SMITH, JARROD ANSON · 2015 to 2015
$225k
NCI NIH HHS R01 CA227833NIDA NIH HHS DP1 DA058349NIDA NIH HHS R01 DA046138NIGMS NIH HHS R01 GM077659NIGMS NIH HHS R01 GM080403NIGMS NIH HHS R01 GM128087NIGMS NIH HHS R35 GM152382NIH HHS S10 OD016216NIH HHS S10 OD020154NIH HHS S10 OD032234NLM NIH HHS R01 LM013434
6 · The paper itself

Abstract

Protein thermodynamics is intimately tied to biological function and can enable processes such as signal transduction, enzyme catalysis, and molecular recognition. The relative free energies of conformations that contribute to these functional equilibria evolved for the physiology of the organism. Despite the importance of these equilibria for understanding biological function and developing treatments for disease, computational and experimental methods capable of quantifying the energetic determinants of these equilibria are limited to systems of modest size. Recently, it has been demonstrated that the artificial intelligence system AlphaFold2 can be manipulated to produce structurally valid protein conformational ensembles. Here, we extend these studies and explore the extent to which AlphaFold2 contact distance distributions can approximate projections of the conformational Boltzmann distributions. For this purpose, we examine the joint probability distributions of inter-residue contact distances along functionally relevant collective variables of several protein systems. Our studies suggest that AlphaFold2 normalized contact distance distributions can correlate with conformation probabilities obtained with other methods but that they suffer from peak broadening. We also find that the AlphaFold2 contact distance distributions can be sensitive to point mutations. Overall, we anticipate that our findings will be valuable as the community seeks to model the thermodynamics of conformational changes in large biomolecular systems.

Indexed as

Artificial IntelligenceMolecular Dynamics SimulationProtein ConformationProteinsThermodynamicsProteins

Identifiers

PMID38215214
PMCPMC10867840

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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.