Evidence map›Paper›PMID 34466411›Full record

ReviewFrontiers in molecular biosciences2021

LZerD Protein-Protein Docking Webserver Enhanced With

Charles Christoffer, Vijay Bharadwaj, Ryan Luu, Daisuke Kihara

Abstract readReview
In one paragraph

Review in Frontiers in molecular biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
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  11. Review
  12. Exploring Placental Protein-Target Protein Interactions:Current protein & peptide science · 2025
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. GRAMM Web Server for Protein Docking.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  20. Review
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

4 authors.

Charles ChristofferDepartment of Computer Science, Purdue University, West Lafayette, IN, United States.
Vijay BharadwajDepartment of Computer Science, Purdue University, West Lafayette, IN, United States.
Ryan LuuDepartment of Computer Science, Purdue University, West Lafayette, IN, United States.
Daisuke KiharaDepartment of Computer Science, Purdue University, West Lafayette, IN, United States.

Funding

Purdue University Molecular Biophysics Training ProgramT32GM132024 · NIGMS · PURDUE UNIVERSITY · PI Angeline Marie Lyon, John Tesmer · 2019 to 2026
$2.0M
Building protein structure models for intermediate resolution cryo-electron microscopy mapsR01GM133840 · NIGMS · PURDUE UNIVERSITY · PI KIHARA, DAISUKE · 2020 to 2023
$1.6M
Structural Modeling of Multifarious Protein ComplexesR01GM123055 · NIGMS · PURDUE UNIVERSITY · PI KIHARA, DAISUKE · 2017 to 2020
$1.2M
NIGMS NIH HHS R01 GM123055NIGMS NIH HHS R01 GM133840NIGMS NIH HHS T32 GM132024
6 · The paper itself

Abstract

Protein-protein docking is a useful tool for modeling the structures of protein complexes that have yet to be experimentally determined. Understanding the structures of protein complexes is a key component for formulating hypotheses in biophysics regarding the functional mechanisms of complexes. Protein-protein docking is an established technique for cases where the structures of the subunits have been determined. While the number of known structures deposited in the Protein Data Bank is increasing, there are still many cases where the structures of individual proteins that users want to dock are not determined yet. Here, we have integrated the AttentiveDist method for protein structure prediction into our LZerD webserver for protein-protein docking, which enables users to simply submit protein sequences and obtain full-complex atomic models, without having to supply any structure themselves. We have further extended the LZerD docking interface with a symmetrical homodimer mode. The LZerD server is available at https://lzerd.kiharalab.org/.

Indexed as

LZerDprotein bioinformaticsprotein-protein dockingprotein structure predictionstructure modelingsymmetrical dockingweb server

Identifiers

PMID34466411
PMCPMC8403062

What OpenQuestion holds

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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.