Evidence map›Paper›PMID 21292475›Full record

ReviewCurrent opinion in structural biology2011

Structure-based systems biology for analyzing off-target binding.

Lei Xie, Li Xie, Philip E Bourne

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing 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

69 citing papers in PubMed.

  1. Article
  2. Peptide-based drug design using generative AI.Chemical communications (Cambridge, England) · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Recent Advances in In Silico Target Fishing.Molecules (Basel, Switzerland) · 2021
    Review
  13. Article
  14. Brazilian essential oils as source for the discovery of new anti-COVID-19 drug: a review guided by in silico study.Phytochemistry reviews : proceedings of the Phytochemical Society of Europe · 2021
    Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

9 more citing papers are in PubMed but not listed here.

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.

Lei XieSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, MC9743, 9500 Gilman Drive, La Jolla, CA 92093, USA.
Li Xie
Philip E Bourne

Funding

Protein Functional Site Characterization and AnalysisR01GM078596 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BOURNE, PHILIP E · 2007 to 2010
$2.1M
NIGMS NIH HHS GM078596NIGMS NIH HHS R01 GM078596
6 · The paper itself

Abstract

Here off-target binding implies the binding of a small molecule of therapeutic interest to a protein target other than the primary target for which it was intended. Increasingly such off-targeting appears to be the norm rather than the exception, rational drug design notwithstanding, and can lead to detrimental side-effects, or opportunities to reposition a therapeutic agent to treat a different condition. Not surprisingly, there is significant interest in determining a priori what off-targets exist on a proteome-wide scale. Beyond determining putative off-targets is the need to understand the impact of such binding on the complete biological system, with the ultimate goal of being able to predict the phenotypic outcome. While a very ambitious goal, some progress is being made.

Indexed as

Systems BiologyComputational BiologyComputer SimulationDrug DesignHumansLigandsModels, MolecularProtein BindingProteinsProteomeLigandsProteinsProteome

Identifiers

PMID21292475
PMCPMC3070778

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.