Evidence map›Paper›PMID 36601807›Full record

ArticleActa crystallographica. Section D, Structural biology2023

Molecular-dynamics simulation methods for macromolecular crystallography.

David C Wych, Phillip C Aoto, Lily Vu, Alexander M Wolff, David L Mobley, James S Fraser, Susan S Taylor, Michael E Wall

Open access · hybridAbstract read
In one paragraph

Article in Acta crystallographica. Section D, Structural biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
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

15 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. If you cannot see it, is it still there?Journal of applied crystallography · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Functional protein dynamics in a crystal.Nature communications · 2024
    Article
  9. Article
  10. Functional Protein Dynamics in a Crystal.bioRxiv : the preprint server for biology · 2024
    Article
  11. Protein Kinase Structure and Dynamics: Role of the αC-β4 Loop.bioRxiv : the preprint server for biology · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
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

8 authors at 4 institutions in 1 country.

David C WychComputer, Computational and Statistical Sciences Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.ORCID 0000-0001-9209-4371
Phillip C AotoDepartment of Pharmacology, University of California, San Diego, La Jolla, CA 92093, USA.ORCID 0000-0001-6518-0899
Lily VuDepartment of Pharmacology, University of California, San Diego, La Jolla, CA 92093, USA.ORCID 0000-0003-4444-1847
Alexander M WolffDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0003-0474-7673
David L MobleyDepartment of Pharmaceutical Sciences, University of California, Irvine, Irvine, CA 92697, USA.ORCID 0000-0002-1083-5533
James S FraserDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0002-5080-2859
Susan S TaylorDepartment of Pharmacology, University of California, San Diego, La Jolla, CA 92093, USA.ORCID 0000-0002-7702-6108
Michael E WallComputer, Computational and Statistical Sciences Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.ORCID 0000-0003-1000-688X
University of California San Diego · USLos Alamos National Laboratory · USUniversity of California, San Francisco · USUniversity of California, Irvine · US

Funding

Contemporary Approaches to Cancer Cell Signaling and CommunicationT32CA009523 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DONOGHUE, DANIEL J, YANG, JING · 1985 to 2025
$12.1M
Lessons Learned from PKA: Assembly of Dynamic Macromolecular SwitchesR35GM130389 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUSAN S. TAYLOR · 2019 to 2026
$5.7M
Open data-driven infrastructure for building biomolecular force fields for predictive biophysics and drug designR01GM132386 · NIGMS · UNIVERSITY OF COLORADO · PI SHIRTS, MICHAEL R · 2020 to 2023
$3.1M
Eliminating Critical Systematic Errors In Structural Biology With Next-Generation SimulationR01GM124149 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HOLTON, JAMES M · 2017 to 2024
$2.5M
Computational alchemy for molecular design and optimizationR01GM108889 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI MOBLEY, DAVID LOWELL · 2014 to 2022
$2.5M
Supplement to Resolving ensemble averaged conformations by multi-temperature x-ray crystallography - Equipment 2020R01GM123159 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FRASER, JAMES SOLOMON · 2018 to 2021
$2.3M
Advancing predictive physical modeling through focused development of model systems to drive new modeling innovationsR01GM124270 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI MOBLEY, DAVID LOWELL · 2018 to 2021
$1.5M
NCI NIH HHS T32 CA009523NIGMS NIH HHS R01 GM108889NIGMS NIH HHS R01 GM123159NIGMS NIH HHS R01 GM124149NIGMS NIH HHS R01 GM124270NIGMS NIH HHS R01 GM132386NIGMS NIH HHS R35 GM130389NIH HHS GM108889NIH HHS GM123159NIH HHS GM124149NIH HHS GM124270NIH HHS GM130389NIH HHS GM132386NIH HHS T32 CA009523/CA/NCI
6 · The paper itself

Abstract

It is investigated whether molecular-dynamics (MD) simulations can be used to enhance macromolecular crystallography (MX) studies. Historically, protein crystal structures have been described using a single set of atomic coordinates. Because conformational variation is important for protein function, researchers now often build models that contain multiple structures. Methods for building such models can fail, however, in regions where the crystallographic density is difficult to interpret, for example at the protein-solvent interface. To address this limitation, a set of MD-MX methods that combine MD simulations of protein crystals with conventional modeling and refinement tools have been developed. In an application to a cyclic adenosine monophosphate-dependent protein kinase at room temperature, the procedure improved the interpretation of ambiguous density, yielding an alternative water model and a revised protein model including multiple conformations. The revised model provides mechanistic insights into the catalytic and regulatory interactions of the enzyme. The same methods may be used in other MX studies to seek mechanistic insights.

Indexed as

Molecular Dynamics SimulationProteinsCrystallography, X-RayProtein ConformationSolventsProteinsSolventsconformational ensemblesmolecular-dynamics simulationsprotein kinaseswater structure

Identifiers

PMID36601807
PMCPMC9815100
OpenAlexW4313308276

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.