Evidence map›Paper›PMID 21993006›Full record

ReviewJournal of the Royal Society, Interface2012

Flexibility and binding affinity in protein-ligand, protein-protein and multi-component protein interactions: limitations of current computational approaches.

Pierre Tuffery, Philippe Derreumaux

Abstract readReview
In one paragraph

Review in Journal of the Royal Society, Interface, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. In Silico Analysis of CMolecules (Basel, Switzerland) · 2025
    Article
  7. Article
  8. Review
  9. Article
  10. Therapeutic potential ofFrontiers in chemistry · 2024
    Article
  11. Synthesis, antimicrobial activity and molecular docking study of benzyl functionalized benzimidazole silver(I) complexes.Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry · 2023
    Article
  12. Article
  13. Article
  14. Evaluation of immune evasion in SARS-CoV-2 Delta and Omicron variants.Computational and structural biotechnology journal · 2022
    Article
  15. Computer Simulations Aimed at Exploring Protein Aggregation and Dissociation.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  16. Article
  17. Review
  18. Article
  19. AnalyzingFrontiers in molecular biosciences · 2020
    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

2 authors.

Pierre TufferyINSERM UMR-S 973, Université Paris Diderot, 35 rue Hélène Brion, 75251 Paris cedex, France.
Philippe Derreumaux

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recognition process between a protein and a partner represents a significant theoretical challenge. In silico structure-based drug design carried out with nothing more than the three-dimensional structure of the protein has led to the introduction of many compounds into clinical trials and numerous drug approvals. Central to guiding the discovery process is to recognize active among non-active compounds. While large-scale computer simulations of compounds taken from a library (virtual screening) or designed de novo are highly desirable in the post-genomic area, many technical problems remain to be adequately addressed. This article presents an overview and discusses the limits of current computational methods for predicting the correct binding pose and accurate binding affinity. It also presents the performances of the most popular algorithms for exploring binary and multi-body protein interactions.

Indexed as

AlgorithmsBinding SitesComputational BiologyComputer SimulationDatabases, ProteinLigandsModels, MolecularProtein Interaction Domains and MotifsProtein Interaction MappingProteinsLigandsProteins

Identifiers

PMID21993006
PMCPMC3223636

What OpenQuestion holds

Textmetadata
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.