Evidence map›Paper›PMID 42653805›Full record

ArticlePharmaceuticals (Basel, Switzerland)2026

An Integrated Consensus Machine Learning and Structure-Based Workflow for the Discovery of Novel Tankyrase 1 Inhibitors.

Marina Bilotta, Adriana Gargano, Roberta Rocca, Valentina Maggisano, Stefania Bulotta, Stefano Alcaro

Abstract read
In one paragraph

Article in Pharmaceuticals (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

6 authors.

Marina BilottaDipartimento di Scienze della Salute, Università "Magna Græcia" di Catanzaro, Campus "S. Venuta", 88100 Catanzaro, Italy.ORCID 0009-0009-0691-3007
Adriana GarganoDipartimento di Scienze della Salute, Università "Magna Græcia" di Catanzaro, Campus "S. Venuta", 88100 Catanzaro, Italy.ORCID 0009-0006-3102-7988
Roberta RoccaDipartimento di Scienze della Salute, Università "Magna Græcia" di Catanzaro, Campus "S. Venuta", 88100 Catanzaro, Italy.ORCID 0000-0002-0680-7097
Valentina MaggisanoDipartimento di Scienze della Salute, Università "Magna Græcia" di Catanzaro, Campus "S. Venuta", 88100 Catanzaro, Italy.
Stefania BulottaDipartimento di Scienze della Salute, Università "Magna Græcia" di Catanzaro, Campus "S. Venuta", 88100 Catanzaro, Italy.
Stefano AlcaroDipartimento di Scienze della Salute, Università "Magna Græcia" di Catanzaro, Campus "S. Venuta", 88100 Catanzaro, Italy.ORCID 0000-0002-0437-358X

Funding

Italian Ministry of University and Research (MUR) / European Union - NextGenerationEU PhD fellowship No. 6104, under the I.4.1 PNRR "Cultural Heritage" program
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

anticancer drug discoverymachine learningmolecular dockingTNKS1virtual screening

Identifiers

PMID42653805
PMCPMC13516162

What Socratic holds

Textmetadata
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 Socratic graph.