Evidence map›Paper›PMID 30278128›Full record

ArticleJournal of chemical information and modeling2018

FINDSITE

Hongyi Zhou, Hongnan Cao, Jeffrey Skolnick

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

27 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Article
  3. Journal of medicinal chemistry · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. FRAGSITE2: A structure and fragment-based approach for virtual ligand screening.Protein science : a publication of the Protein Society · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. CHARMM-GUIJournal of chemical information and modeling · 2021
    Article
  18. Article
  19. Article
  20. FRAGSITE: A Fragment-Based Approach for Virtual Ligand Screening.Journal of chemical information and modeling · 2021
    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

3 authors at 1 institution in 1 country.

Hongyi ZhouCenter for the Study of Systems Biology, School of Biological Sciences , Georgia Institute of Technology , 950 Atlantic Drive, NW , Atlanta , Georgia 30332-2000 , United States.
Hongnan CaoCenter for the Study of Systems Biology, School of Biological Sciences , Georgia Institute of Technology , 950 Atlantic Drive, NW , Atlanta , Georgia 30332-2000 , United States.
Jeffrey SkolnickCenter for the Study of Systems Biology, School of Biological Sciences , Georgia Institute of Technology , 950 Atlantic Drive, NW , Atlanta , Georgia 30332-2000 , United States.ORCID 0000-0002-1877-4958
Georgia Institute of Technology · US

Funding

Purchase of a GPU cluster for deep learning applications in protein-protein interaction and supercomplex prediction and biochemical literature annotation.R35GM118039 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI JEFFREY SKOLNICK · 2016 to 2026
$5.8M
NIGMS NIH HHS R35 GM118039
6 · The paper itself

Abstract

Computational approaches for predicting protein-ligand interactions can facilitate drug lead discovery and drug target determination. We have previously developed a threading/structural-based approach, FINDSITE

Indexed as

SoftwareBinding SitesDatabases, PharmaceuticalDatabases, ProteinDrug DiscoveryHumansLigandsMolecular Docking SimulationProtein BindingProtein ConformationProteinsLigandsProteins

Identifiers

PMID30278128
PMCPMC6437778
OpenAlexW2894906875

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.