Evidence map›Paper›PMID 35496477›Full record

ArticleData in brief2022

A new ChEMBL dataset for the similarity-based target fishing engine FastTargetPred: Annotation of an exhaustive list of linear tetrapeptides.

Shivalika Tanwar, Patrick Auberger, Germain Gillet, Mario DiPaola, Katya Tsaioun, Bruno O Villoutreix

Open access · goldAbstract read
In one paragraph

Article in Data in brief, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

6 authors at 3 institutions in 2 countries.

Shivalika TanwarInserm UMR 1141 NeuroDiderot, Robert-Debré Hospital, Université de Paris, Paris 75019, France.
Patrick AubergerUniversité Côte d'azur, Nice, France.
Germain GilletCenter de Recherche en Cancérologie de Lyon, U1052 INSERM, UMR CNRS 5286, Université de Lyon, Université Lyon I, Center Léon Bérard, 28 rue Laennec, Lyon 69008, France.
Mario DiPaolaAkttyva Therapeutics, Inc., MA, Mansfield, USA.
Katya TsaiounAkttyva Therapeutics, Inc., MA, Mansfield, USA.
Bruno O VilloutreixInserm UMR 1141 NeuroDiderot, Robert-Debré Hospital, Université de Paris, Paris 75019, France.
Inserm · FRMansfield University · USUniversité Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug discovery often requires the identification of off-targets as the binding of a compound to targets other than the intended target(s) can be beneficial in some cases or detrimental in other situations (e.g., binding to anti-targets). Such investigations are also of importance during the early stage of a project, for example when the target is not known (e.g., phenotypic screening). Target identification can be performed

Indexed as

Drug discoveryPeptideTarget predictionVirtual screening

Identifiers

PMID35496477
PMCPMC9046614
OpenAlexW4223439938

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.