Evidence map›Paper›PMID 37037809›Full record

ArticleNature communications2023

Performance efficient macromolecular mechanics via sub-nanometer shape based coarse graining.

Alexander J Bryer, Juan S Rey, Juan R Perilla

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Membrane bending energy selects for compact growth of protein assemblies.bioRxiv : the preprint server for biology · 2025
    Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Understanding Virus Structure and Dynamics through Molecular Simulations.Journal of chemical theory and computation · 2023
    Review
  8. 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

3 authors.

Alexander J BryerDepartment of Chemistry and Biochemistry, University of Delaware, Newark, DE, 19716, USA.ORCID http://orcid.org/0000-0002-2039-4778
Juan S ReyDepartment of Chemistry and Biochemistry, University of Delaware, Newark, DE, 19716, USA.
Juan R PerillaDepartment of Chemistry and Biochemistry, University of Delaware, Newark, DE, 19716, USA. jperilla@udel.edu.ORCID http://orcid.org/0000-0003-1171-6816

Funding

Project 3. IntegrationU54AI170791 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Barbie K. Ganser-Pornillos · 2022 to 2026
$30.6M
Mechanisms and Consequences of Reverse Transcription in HIV-1 CoresR01AI157843 · NIAID · VANDERBILT UNIVERSITY MEDICAL CENTER · PI AIKEN, CHRISTOPHER R · 2021 to 2024
$2.8M
NIAID NIH HHS R01 AI157843NIAID NIH HHS U54 AI170791
6 · The paper itself

Abstract

Dimensionality reduction via coarse grain modeling is a valuable tool in biomolecular research. For large assemblies, ultra coarse models are often knowledge-based, relying on a priori information to parameterize models thus hindering general predictive capability. Here, we present substantial advances to the shape based coarse graining (SBCG) method, which we refer to as SBCG2. SBCG2 utilizes a revitalized formulation of the topology representing network which makes high-granularity modeling possible, preserving atomistic details that maintain assembly characteristics. Further, we present a method of granularity selection based on charge density Fourier Shell Correlation and have additionally developed a refinement method to optimize, adjust and validate high-granularity models. We demonstrate our approach with the conical HIV-1 capsid and heteromultimeric cofilin-2 bound actin filaments. Our approach is available in the Visual Molecular Dynamics (VMD) software suite, and employs a CHARMM-compatible Hamiltonian that enables high-performance simulation in the GPU-resident NAMD3 molecular dynamics engine.

Identifiers

PMID37037809
PMCPMC10086035

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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.