Organic Sunscreens-Biological Activity from an Enzymatic Perspective.

Anna W Sobańska, Andrzej M Sobański, Elżbieta Brzezińska

Abstract read

In one paragraph

Article in Molecules (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Anna W SobańskaDepartment of Analytical Chemistry, Medical University of Lodz, 90-151 Łódź, Poland.ORCID 0000-0002-1846-9240

Andrzej M SobańskiFaculty of Chemistry, University of Lodz, 91-403 Łódź, Poland.ORCID 0009-0006-7544-365X

Elżbieta BrzezińskaDepartment of Analytical Chemistry, Medical University of Lodz, 90-151 Łódź, Poland.ORCID 0000-0003-1135-7147

Funding

Medical University of Lodz 503/3-016-03/503-31-001

6 · The paper itself

Abstract

Selected organic sunscreens from different chemical families were investigated in the context of their ability to inhibit butyrylcholinesterase using novel Multiple Linear Regression, Artificial Neural Network, and Support Vector Regression models based on a set of six independent variables commonly associated with compounds' absorption and distribution properties. It was established that the descriptors that have a particularly strong, positive influence on the ability of compounds to inhibit BChE expressed as p

Indexed as

ButyrylcholinesteraseCholinesterase InhibitorsSunscreening AgentsCaco-2 CellsHumansButyrylcholinesteraseCholinesterase InhibitorsSunscreening Agentsbiological activitybutyrylcholinesterase inhibitionorganic sunscreens

Identifiers

PMID42197211

DOI10.3390/molecules31101656

PMCPMC13209708

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.