Evidence map›Paper›PMID 23695987›Full record

ArticleJournal of computational chemistry2013

DOT2: Macromolecular docking with improved biophysical models.

Victoria A Roberts, Elaine E Thompson, Michael E Pique, Martin S Perez, L F Ten Eyck

Abstract read
In one paragraph

Article in Journal of computational chemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Review
  3. Software and Databases for Protein-Protein Docking.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Methods and Applications of In Silico Aptamer Design and Modeling.International journal of molecular sciences · 2020
    Review
  9. In silico design and validation of high-affinity RNA aptamers targeting epithelial cellular adhesion molecule dimers.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Improvements to the APBS biomolecular solvation software suite.Protein science : a publication of the Protein Society · 2018
    Article
  15. Review
  16. Mass spectrometry-based cross-linking study shows that the Psb28 protein binds to cytochromeProceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors.

Victoria A RobertsSan Diego Supercomputer Center, University of California, San Diego, La Jolla, California 92093, USA. vickie@sdsc.edu
Elaine E Thompson
Michael E Pique
Martin S Perez
L F Ten Eyck

Funding

VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Maile Ann Young Karris · 1994 to 2026
$78.4M
STRUCTURE AND FUNCTION OF METALLOENZYMES FOR DNA REPAIRR01GM046312 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI TAINER, JOHN A. · 1991 to 2012
$5.9M
Computation and Mass Spec: Predicting Protein ComplexesR01GM070996 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI TEN EYCK, LYNN F. · 2004 to 2007
$1.3M
NIAID NIH HHS P30 AI036214NIGMS NIH HHS GM046312NIGMS NIH HHS GM070996NIGMS NIH HHS R01 GM046312NIGMS NIH HHS R01 GM070996
6 · The paper itself

Abstract

Computational docking is a useful tool for predicting macromolecular complexes, which are often difficult to determine experimentally. Here, we present the DOT2 software suite, an updated version of the DOT intermolecular docking program. DOT2 provides straightforward, automated construction of improved biophysical models based on molecular coordinates, offering checkpoints that guide the user to include critical features. DOT has been updated to run more quickly, allow flexibility in grid size and spacing, and generate an infinitive complete list of favorable candidate configurations. Output can be filtered by experimental data and rescored by the sum of electrostatic and atomic desolvation energies. We show that this rescoring method improves the ranking of correct complexes for a wide range of macromolecular interactions and demonstrate that biologically relevant models are essential for biologically relevant results. The flexibility and versatility of DOT2 accommodate realistic models of complex biological systems, improving the likelihood of a successful docking outcome.

Indexed as

Computational BiologyMolecular Docking SimulationSoftwareAlgorithmsMacromolecular SubstancesProteinsStatic ElectricityMacromolecular SubstancesProteins

Identifiers

PMID23695987
PMCPMC4370774

What OpenQuestion holds

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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.