Evidence map›Paper›PMID 25914306›Full record

ArticleJournal of computational chemistry2015

DOCK 6: Impact of new features and current docking performance.

William J Allen, Trent E Balius, Sudipto Mukherjee, Scott R Brozell, Demetri T Moustakas, P Therese Lang, David A Case, Irwin D Kuntz, Robert C Rizzo

Abstract read
In one paragraph

Article in Journal of computational chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 360 papers.

0numbers the graph read from it
0cells of the map it votes in
360citing 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

360 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Can Cavity Prediction Algorithms Help in Docking Experiments?Journal of computational chemistry · 2026
    Article
  10. Article
  11. Article
  12. DOCKweb: a web-based GUI platform for molecular modeling with DOCK6.Journal of computer-aided molecular design · 2026
    Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. CHARMM-GUIJournal of chemical information and modeling · 2026
    Article

300 more citing papers are in PubMed but not listed here.

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

9 authors.

William J AllenDepartment of Applied Mathematics & Statistics, Stony Brook University, Stony Brook, New York, 11794.
Trent E Balius
Sudipto Mukherjee
Scott R Brozell
Demetri T Moustakas
P Therese Lang
David A Case
Irwin D Kuntz
Robert C Rizzo

Funding

Computational Design of Fusion Inhibitors Targeting Drug-resistant HIVgp41R01GM083669 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI RIZZO, ROBERT C. · 2008 to 2016
$2.6M
Characterizing the Mechanism of Cancer-Causing and Resistance Mutation of EGFRF31CA134201 · NCI · STATE UNIVERSITY NEW YORK STONY BROOK · PI BALIUS, TRENT E · 2008 to 2011
$121k
Ligand-based Design of Anti-HIV Therapeutics Targeting gp41F32GM105400 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI ALLEN, WILLIAM J · 2013 to 2014
$102k
NCI NIH HHS F31 CA134201NCI NIH HHS F31CA134201NIGMS NIH HHS F32 GM105400NIGMS NIH HHS F32GM105400NIGMS NIH HHS R01 GM083669NIGMS NIH HHS R01GM083669
6 · The paper itself

Abstract

This manuscript presents the latest algorithmic and methodological developments to the structure-based design program DOCK 6.7 focused on an updated internal energy function, new anchor selection control, enhanced minimization options, a footprint similarity scoring function, a symmetry-corrected root-mean-square deviation algorithm, a database filter, and docking forensic tools. An important strategy during development involved use of three orthogonal metrics for assessment and validation: pose reproduction over a large database of 1043 protein-ligand complexes (SB2012 test set), cross-docking to 24 drug-target protein families, and database enrichment using large active and decoy datasets (Directory of Useful Decoys [DUD]-E test set) for five important proteins including HIV protease and IGF-1R. Relative to earlier versions, a key outcome of the work is a significant increase in pose reproduction success in going from DOCK 4.0.2 (51.4%) → 5.4 (65.2%) → 6.7 (73.3%) as a result of significant decreases in failure arising from both sampling 24.1% → 13.6% → 9.1% and scoring 24.4% → 21.1% → 17.5%. Companion cross-docking and enrichment studies with the new version highlight other strengths and remaining areas for improvement, especially for systems containing metal ions. The source code for DOCK 6.7 is available for download and free for academic users at http://dock.compbio.ucsf.edu/.

Indexed as

Computer GraphicsSoftwareAlgorithmsDrug DesignDrug DiscoveryMolecular Structurecross-dockingDOCKdockingenrichmentligand flexibilitypose reproductionvirtual screening

Identifiers

PMID25914306
PMCPMC4469538

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.