Evidence map›Paper›PMID 30999240›Full record

ReviewCurrent opinion in structural biology2019

Computational approaches to macromolecular interactions in the cell.

Ilya A Vakser, Eric J Deeds

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. GRAMMCell: Docking-based Cell Modeling Resource.Journal of molecular biology · 2025
    Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Docking-based long timescale simulation of cell-size protein systems at atomic resolution.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  9. Review
  10. Article
  11. Challenges in protein docking.Current opinion in structural biology · 2020
    Review
  12. 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

2 authors.

Ilya A VakserComputational Biology Program and Department of Molecular Biosciences, The University of Kansas, Lawrence, KS 66045, USA. Electronic address: vakser@ku.edu.
Eric J DeedsComputational Biology Program and Department of Molecular Biosciences, The University of Kansas, Lawrence, KS 66045, USA. Electronic address: deeds@ku.edu.

Funding

Integrated Resource for Protein Recognition StudiesR01GM074255 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI VAKSER, ILYA · 2005 to 2024
$6.2M
NIGMS NIH HHS R01 GM074255
6 · The paper itself

Abstract

Structural modeling of a cell is an evolving strategic direction in computational structural biology. It takes advantage of new powerful modeling techniques, deeper understanding of fundamental principles of molecular structure and assembly, and rapid growth of the amount of structural data generated by experimental techniques. Key modeling approaches to principal types of macromolecular assemblies in a cell already exist. The main challenge, along with the further development of these modeling approaches, is putting them together in a consistent, unified whole cell model. This opinion piece addresses the fundamental aspects of modeling macromolecular assemblies in a cell, and the state-of-the-art in modeling of the principal types of such assemblies.

Indexed as

Models, MolecularComputational BiologyMacromolecular SubstancesMolecular StructureMacromolecular Substances

Identifiers

PMID30999240
PMCPMC6692245

What OpenQuestion holds

Textmetadata
LicenceTDM
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.