Evidence map›Paper›PMID 32836051›Full record

ReviewCurrent opinion in structural biology2020

Challenges in protein docking.

Ilya A Vakser

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Computational Pipeline for Accelerating the Design of Glycomimetics.Journal of chemical information and modeling · 2025
    Article
  9. Multi-Component Synthesis of New Fluorinated-Pyrrolo[3,4-International journal of molecular sciences · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Frontiers in physiology · 2024
    Article
  16. Approaches to Backbone Flexibility in Protein-Protein Docking.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  17. Review
  18. Review
  19. The CDR3 region as the major driver of TREM-1 interaction with its ligands, anComputational and structural biotechnology journal · 2023
    Article
  20. Dockground resource for protein recognition studies.Protein science : a publication of the Protein Society · 2022
    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

1 author.

Ilya A VakserComputational Biology Program and Department of Molecular Biosciences, The University of Kansas, Lawrence, KS 66045, USA. Electronic address: vakser@ku.edu.

Funding

Integrated Resource for Protein Recognition StudiesR01GM074255 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI VAKSER, ILYA · 2005 to 2024
$6.2M
NIGMS NIH HHS R01 GM074255
6 · The paper itself

Abstract

Current developments in protein docking aim at improvement of applicability, accuracy and utility of modeling macromolecular complexes. The challenges include the need for greater emphasis on protein docking to molecules of different types, proper accounting for conformational flexibility upon binding, new promising methodologies based on residue co-evolution and deep learning, affinity prediction, and further development of fully automated docking servers. Importantly, new developments increasingly focus on realistic modeling of protein interactions in vivo, including crowded environment inside a cell, which involves multiple transient encounters, and propagating the system in time. This opinion paper offers the author's perspective on these challenges in structural modeling of protein interactions and the future of protein docking.

Indexed as

ProteinsMolecular Docking SimulationProtein BindingProteins

Identifiers

PMID32836051
PMCPMC7666046

What OpenQuestion holds

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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.