Evidence map›Paper›PMID 38474157›Full record

ArticleInternational journal of molecular sciences2024

MLe-KCNQ2: An Artificial Intelligence Model for the Prognosis of Missense

Alba Saez-Matia, Markel G Ibarluzea, Sara M-Alicante, Arantza Muguruza-Montero, Eider Nuñez, Rafael Ramis, Oscar R Ballesteros, Diego Lasa-Goicuria, Carmen Fons, Mónica Gallego and 4 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Article
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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

14 authors at 4 institutions in 1 country.

Alba Saez-MatiaInstituto Biofisika, CSIC-UPV/EHU, 48940 Leioa, Spain.ORCID 0000-0002-2595-6223
Markel G IbarluzeaPhysics Department, Universidad del País Vasco, UPV/EHU, 48940 Leioa, Spain.
Sara M-AlicanteInstituto Biofisika, CSIC-UPV/EHU, 48940 Leioa, Spain.
Arantza Muguruza-MonteroInstituto Biofisika, CSIC-UPV/EHU, 48940 Leioa, Spain.ORCID 0000-0001-8713-4949
Eider NuñezInstituto Biofisika, CSIC-UPV/EHU, 48940 Leioa, Spain.ORCID 0000-0001-8075-9815
Rafael RamisPhysics Department, Universidad del País Vasco, UPV/EHU, 48940 Leioa, Spain.
Oscar R BallesterosPhysics Department, Universidad del País Vasco, UPV/EHU, 48940 Leioa, Spain.ORCID 0000-0002-5320-8505
Diego Lasa-GoicuriaDonostia International Physics Center, 20018 Donostia, Spain.
Carmen FonsPediatric Neurology Department, Sant Joan de Déu Hospital, Institut de Recerca Sant Joan de Déu, Barcelona University, 08950 Barcelona, Spain.
Mónica GallegoDepartamento de Fisiología, Universidad del País Vasco, UPV/EHU, 01006 Vitoria-Gasteiz, Spain.ORCID 0000-0002-0519-3396
Oscar CasisDepartamento de Fisiología, Universidad del País Vasco, UPV/EHU, 01006 Vitoria-Gasteiz, Spain.ORCID 0000-0002-6219-3317
Aritz LeonardoPhysics Department, Universidad del País Vasco, UPV/EHU, 48940 Leioa, Spain.ORCID 0000-0002-5942-2270
Aitor BergaraPhysics Department, Universidad del País Vasco, UPV/EHU, 48940 Leioa, Spain.ORCID 0000-0003-2707-1856
Alvaro VillarroelInstituto Biofisika, CSIC-UPV/EHU, 48940 Leioa, Spain.
University of the Basque Country · ESInstituto Biofisika · ESDonostia International Physics Center · ESHospital Sant Joan de Déu Barcelona · ES

Funding

Basque Government IT1707-22Basque Government POS_2021_1_0017Basque Government PRE_2021_1_0101Ministerio de Ciencia e Innovación PID2020-118814RB-I00Ministerio de Ciencia e Innovación PID2021-128286NB-100
6 · The paper itself

Abstract

Despite the increasing availability of genomic data and enhanced data analysis procedures, predicting the severity of associated diseases remains elusive in the absence of clinical descriptors. To address this challenge, we have focused on the K

Indexed as

Epilepsy, Benign NeonatalEpilepsy, GeneralizedArtificial IntelligenceHumansInfant, NewbornKCNQ2 Potassium ChannelMutationMutation, MissenseKCNQ2 Potassium ChannelKCNQ2 protein, humanepilepsyKCNQmachine learningneurodevelopmental disorderprognosis

Identifiers

PMID38474157
PMCPMC10932340
OpenAlexW4392373781

What Socratic 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 Socratic graph.