Evidence map›Paper›PMID 23483883›Full record

ArticlePloS one2013

Protein-protein docking with F(2)Dock 2.0 and GB-rerank.

Rezaul Chowdhury, Muhibur Rasheed, Donald Keidel, Maysam Moussalem, Arthur Olson, Michel Sanner, Chandrajit Bajaj

Abstract read
In one paragraph

Article in PloS one, 2013. 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
–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

15 citing papers in PubMed.

  1. Article
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  8. Statistical Framework for Uncertainty Quantification in Computational Molecular Modeling.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2016
    Article
  9. Article
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  12. Review
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  14. NONUNIFORM FOURIER TRANSFORMS FOR RIGID-BODY AND MULTI-DIMENSIONAL ROTATIONAL CORRELATIONS.SIAM journal on scientific computing : a publication of the Society for Industrial and Applied Mathematics · 2013
    Article
  15. Statistical Framework for Uncertainty Quantification in Computational Molecular Modeling.IEEE/ACM transactions on computational biology and bioinformatics
    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

7 authors.

Rezaul ChowdhuryDepartment of Computer Science, Institute of Computational Engineering and Sciences, University of Texas at Austin, Austin, TX, USA.
Muhibur Rasheed
Donald Keidel
Maysam Moussalem
Arthur Olson
Michel Sanner
Chandrajit Bajaj

Funding

A New Approach to Rapid Protein-Protein DockingR01GM073087 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI BAJAJ, CHANDRAJIT L · 2006 to 2008
$1.3M
Software Maintenance for Biomolecular ComplexesR01EB004873 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI BAJAJ, CHANDRAJIT L · 2007 to 2010
$1.2M
Hierarchical Methods for Large BioMolecular ComplexesR01GM074258 · NIGMS · UNIVERSITY OF TEXAS AUSTIN · PI BAJAJ, CHANDRAJIT L · 2005 to 2010
$778k
NIBIB NIH HHS R01 EB004873NIBIB NIH HHS R01-EB004873NIGMS NIH HHS R01 GM073087NIGMS NIH HHS R01-GM073087NIGMS NIH HHS R01 GM074258NIGMS NIH HHS R01-GM074258
6 · The paper itself

Abstract

motivationComputational simulation of protein-protein docking can expedite the process of molecular modeling and drug discovery. This paper reports on our new F(2) Dock protocol which improves the state of the art in initial stage rigid body exhaustive docking search, scoring and ranking by introducing improvements in the shape-complementarity and electrostatics affinity functions, a new knowledge-based interface propensity term with FFT formulation, a set of novel knowledge-based filters and finally a solvation energy (GBSA) based reranking technique. Our algorithms are based on highly efficient data structures including the dynamic packing grids and octrees which significantly speed up the computations and also provide guaranteed bounds on approximation error.

resultsThe improved affinity functions show superior performance compared to their traditional counterparts in finding correct docking poses at higher ranks. We found that the new filters and the GBSA based reranking individually and in combination significantly improve the accuracy of docking predictions with only minor increase in computation time. We compared F(2) Dock 2.0 with ZDock 3.0.2 and found improvements over it, specifically among 176 complexes in ZLab Benchmark 4.0, F(2) Dock 2.0 finds a near-native solution as the top prediction for 22 complexes; where ZDock 3.0.2 does so for 13 complexes. F(2) Dock 2.0 finds a near-native solution within the top 1000 predictions for 106 complexes as opposed to 104 complexes for ZDock 3.0.2. However, there are 17 and 15 complexes where F(2) Dock 2.0 finds a solution but ZDock 3.0.2 does not and vice versa; which indicates that the two docking protocols can also complement each other. AVAILABILITY: The docking protocol has been implemented as a server with a graphical client (TexMol) which allows the user to manage multiple docking jobs, and visualize the docked poses and interfaces. Both the server and client are available for download. Server: http://www.cs.utexas.edu/~bajaj/cvc/software/f2dock.shtml. Client: http://www.cs.utexas.edu/~bajaj/cvc/software/f2dockclient.shtml.

Indexed as

AlgorithmsFourier AnalysisAntigen-Antibody ComplexComputational BiologyEnzyme InhibitorsProtein BindingProtein Interaction MappingSubstrate SpecificityTime FactorsAntigen-Antibody ComplexEnzyme Inhibitors

Identifiers

PMID23483883
PMCPMC3590208

What OpenQuestion holds

Textmetadata
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.