Evidence map›Paper›PMID 22105850›Full record

ArticleProteins2012

Minimal ensembles of side chain conformers for modeling protein-protein interactions.

Dmitri Beglov, David R Hall, Ryan Brenke, Maxim V Shapovalov, Roland L Dunbrack, Dima Kozakov, Sandor Vajda

Abstract read
In one paragraph

Article in Proteins, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Food science & nutrition · 2021
    Article
  2. Article
  3. Article
  4. Article
  5. Pushing the Backbone in Protein-Protein Docking.Structure (London, England : 1993) · 2016
    Article
  6. Challenges in structural approaches to cell modeling.Journal of molecular biology · 2016
    Review
  7. Article
  8. The impact of side-chain packing on protein docking refinement.Journal of chemical information and modeling · 2015
    Article
  9. Review
  10. Article
  11. Article
  12. Low-resolution structural modeling of protein interactome.Current opinion in structural biology · 2013
    Review
  13. A New Distributed Algorithm for Side-Chain Positioning in the Process of Protein DockingProceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control · 2013
    Article
  14. Article
  15. Article
  16. Side-chain Packing Using SE(3)-Transformer.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
    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.

Dmitri BeglovBioMolecular Engineering Research Center, Boston University, Boston, Massachusetts; Department of Biomedical Engineering, Boston University, Boston, Massachusetts. dbeglov@bu.edu.
David R Hall
Ryan Brenke
Maxim V Shapovalov
Roland L Dunbrack
Dima Kozakov
Sandor Vajda

Funding

Computational mapping of proteins for the binding of ligandsR01GM064700 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI VAJDA, SANDOR · 2003 to 2015
$4.3M
A MULTISTAGE APPROACH TO PROTEIN-PROTEIN DOCKINGR01GM061867 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI VAJDA, SANDOR · 2000 to 2016
$4.0M
Bayesian Statistics and Algorithms for Homology ModelingR01GM084453 · NIGMS · RESEARCH INST OF FOX CHASE CAN CTR · PI DUNBRACK, ROLAND L · 2008 to 2016
$2.6M
Refinement Methods for Protein Docking based on Exploring Multi-Dimensional EnergR01GM093147 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI KOZAKOV, DMYTRO, PASCHALIDIS, IOANNIS · 2011 to 2014
$1.2M
NIGMS NIH HHS GM061867NIGMS NIH HHS GM064700NIGMS NIH HHS GM093147NIGMS NIH HHS R01 GM061867NIGMS NIH HHS R01 GM064700NIGMS NIH HHS R01 GM084453NIGMS NIH HHS R01 GM093147
6 · The paper itself

Abstract

The goal of this article is to reduce the complexity of the side chain search within docking problems. We apply six methods of generating side chain conformers to unbound protein structures and determine their ability of obtaining the bound conformation in small ensembles of conformers. Methods are evaluated in terms of the positions of side chain end groups. Results for 68 protein complexes yield two important observations. First, the end-group positions change less than 1 Å on association for over 60% of interface side chains. Thus, the unbound protein structure carries substantial information about the side chains in the bound state, and the inclusion of the unbound conformation into the ensemble of conformers is very beneficial. Second, considering each surface side chain separately in its protein environment, small ensembles of low-energy states include the bound conformation for a large fraction of side chains. In particular, the ensemble consisting of the unbound conformation and the two highest probability predicted conformers includes the bound conformer with an accuracy of 1 Å for 78% of interface side chains. As more than 60% of the interface side chains have only one conformer and many others only a few, these ensembles of low-energy states substantially reduce the complexity of side chain search in docking problems. This approach was already used for finding pockets in protein-protein interfaces that can bind small molecules to potentially disrupt protein-protein interactions. Side-chain search with the reduced search space will also be incorporated into protein docking algorithms.

Indexed as

AlgorithmsModels, MolecularMolecular Docking SimulationProbabilityProtein ConformationProtein Interaction Domains and MotifsProteinsProteinspre existing ensemble of conformersprotein bindingrotamer librariesside chain flexibilitystructure prediction

Identifiers

PMID22105850
PMCPMC3297704

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Registered trials

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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.