Evidence map›Paper›PMID 36132268›Full record

ArticleNanoscale advances2019

A safe-by-design tool for functionalised nanomaterials through the Enalos Nanoinformatics Cloud platform.

Dimitra-Danai Varsou, Antreas Afantitis, Andreas Tsoumanis, Georgia Melagraki, Haralambos Sarimveis, Eugenia Valsami-Jones, Iseult Lynch

Abstract read
In one paragraph

Article in Nanoscale advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

7 authors.

Dimitra-Danai VarsouNanoinformatics Department, Novamechanics Ltd Nicosia 1065 Cyprus melagraki@novamechanics.com.ORCID https://orcid.org/0000-0002-7474-7014
Antreas AfantitisNanoinformatics Department, Novamechanics Ltd Nicosia 1065 Cyprus melagraki@novamechanics.com.ORCID https://orcid.org/0000-0002-0977-8180
Andreas TsoumanisNanoinformatics Department, Novamechanics Ltd Nicosia 1065 Cyprus melagraki@novamechanics.com.
Georgia MelagrakiNanoinformatics Department, Novamechanics Ltd Nicosia 1065 Cyprus melagraki@novamechanics.com.ORCID https://orcid.org/0000-0001-7547-2342
Haralambos SarimveisSchool of Chemical Engineering, National Technical University of Athens 157 80 Athens Greece.ORCID https://orcid.org/0000-0002-8607-9965
Eugenia Valsami-JonesSchool of Geography, Earth and Environmental Sciences, University of Birmingham B15 2TT Birmingham UK i.lynch@bham.ac.uk.ORCID https://orcid.org/0000-0002-8850-7556
Iseult LynchSchool of Geography, Earth and Environmental Sciences, University of Birmingham B15 2TT Birmingham UK i.lynch@bham.ac.uk.ORCID https://orcid.org/0000-0003-4250-4584

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multi-walled carbon nanotubes are currently used in numerous industrial applications and products, therefore fast and accurate evaluation of their biological and toxicological effects is of utmost importance. Computational methods and techniques, previously applied in the area of cheminformatics for the prediction of adverse effects of chemicals, can also be applied in the case of nanomaterials (NMs), in an effort to reduce expensive and time consuming experimental procedures. In this context, a validated and predictive nanoinformatics model has been developed for the accurate prediction of the biological and toxicological profile of decorated multi-walled carbon nanotubes. The nanoinformatics workflow was fully validated according to the OECD principles before it was released online

Identifiers

PMID36132268
PMCPMC9473200

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.