Evidence map›Paper›PMID 33916824›Full record

ArticleMolecules (Basel, Switzerland)2021

FragNet, a Contrastive Learning-Based Transformer Model for Clustering, Interpreting, Visualizing, and Navigating Chemical Space.

Aditya Divyakant Shrivastava, Douglas B Kell

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.9field-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

8 citing papers in PubMed, 27 citations in OpenAlex.

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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 at 1 institution in 3 countries.

Aditya Divyakant ShrivastavaDepartment of Computer Science and Engineering, Nirma University, Ahmedabad 382481, India.
Douglas B KellDepartment of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Crown St., Liverpool L69 7ZB, UK.ORCID 0000-0001-5838-7963
University of Liverpool · GB

Funding

Novo Nordisk Fonden NNF10CC1016517
6 · The paper itself

Abstract

The question of molecular similarity is core in cheminformatics and is usually assessed via a

Indexed as

CheminformaticsDeep LearningSoftwareClozapineCluster AnalysisFloxacillinLearning CurveTemperatureClozapineFloxacillinartificial intelligenceattentionchemical spacecheminformaticsdeep learninggenerative methodsneural networkstransformers

Identifiers

PMID33916824
PMCPMC8038408
OpenAlexW3147221285

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.