Evidence map›Paper›PMID 22488467›Full record

ArticleProteins2012

Multi-LZerD: multiple protein docking for asymmetric complexes.

Juan Esquivel-Rodríguez, Yifeng David Yang, Daisuke Kihara

Open access · greenAbstract 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 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
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

50 citing papers in PubMed, 95 citations in OpenAlex.

  1. Article
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  5. Review
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  7. Flexible protein-protein docking with a multitrack iterative transformer.Protein science : a publication of the Protein Society · 2024
    Article
  8. Sampling and Scoring in Protein-Protein Docking.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  9. Article
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  12. Pairwise and Multi-chain Protein Docking Enhanced Using LZerD Web Server.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
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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

3 authors at 1 institution in 1 country.

Juan Esquivel-RodríguezDepartment of Computer Science, College of Science, Purdue University, West Lafayette, Indiana 47907, USA.
Yifeng David Yang
Daisuke Kihara
Purdue University West Lafayette · US

Funding

Surface Shape Based Screening of Large Protein DatabasesR01GM075004 · NIGMS · PURDUE UNIVERSITY WEST LAFAYETTE · PI KIHARA, DAISUKE · 2005 to 2009
$1.5M
Identification of protein-metabolite interactome.R01GM097528 · NIGMS · PURDUE UNIVERSITY · PI KIHARA, DAISUKE · 2011 to 2014
$1.1M
NIGMS NIH HHS R01 GM075004NIGMS NIH HHS R01GM075004NIGMS NIH HHS R01 GM097528NIGMS NIH HHS R01GM097528
6 · The paper itself

Abstract

The tertiary structures of protein complexes provide a crucial insight about the molecular mechanisms that regulate their functions and assembly. However, solving protein complex structures by experimental methods is often more difficult than single protein structures. Here, we have developed a novel computational multiple protein docking algorithm, Multi-LZerD, that builds models of multimeric complexes by effectively reusing pairwise docking predictions of component proteins. A genetic algorithm is applied to explore the conformational space followed by a structure refinement procedure. Benchmark on eleven hetero-multimeric complexes resulted in near-native conformations for all but one of them (a root mean square deviation smaller than 2.5Å). We also show that our method copes with unbound docking cases well, outperforming the methodology that can be directly compared with our approach. Multi-LZerD was able to predict near-native structures for multimeric complexes of various topologies.

Indexed as

Models, ChemicalAlgorithmsCluster AnalysisComputational BiologyModels, MolecularModels, StatisticalProtein BindingProtein ConformationProtein Interaction MappingProteinsProteins

Identifiers

PMID22488467
PMCPMC3370124
OpenAlexW2101980405

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.