Evidence map›Paper›PMID 36599209›Full record

ArticleComputers in biology and medicine2023

Virtual screening of DrugBank database for hERG blockers using topological Laplacian-assisted AI models.

Hongsong Feng, Guo-Wei Wei

Open access · greenAbstract read
In one paragraph

Article in Computers in biology and medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

19 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
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  4. Review
  5. A review of transformer models in drug discovery and beyond.Journal of pharmaceutical analysis · 2025
    Review
  6. Article
  7. Article
  8. Article
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  13. Knot data analysis using multiscale Gauss link integral.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  14. Article
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  18. Review
  19. Unveiling the Bioactive Potential ofIranian journal of pharmaceutical research : IJPR
    Article
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 1 country.

Hongsong FengDepartment of Mathematics, Michigan State University, MI 48824, USA.
Guo-Wei WeiDepartment of Mathematics, Michigan State University, MI 48824, USA; Department of Electrical and Computer Engineering, Michigan State University, MI 48824, USA; Department of Biochemistry and Molecular Biology, Michigan State University, MI 48824, USA. Electronic address: weig@msu.edu.
Michigan State University · US

Funding

AI-based platform for predicting emerging vaccine-escape variants and designing mutation-proof antibodiesR01AI164266 · NIAID · UNIVERSITY OF GEORGIA · PI Guowei Wei, YONG-HUI ZHENG · 2022 to 2026
$2.7M
Synergistic integration of topology and machine learning for the predictions of protein-ligand binding affinities and mutation impactsR01GM126189 · NIGMS · MICHIGAN STATE UNIVERSITY · PI WEI, GUOWEI · 2018 to 2021
$1.4M
NIAID NIH HHS R01 AI164266NIGMS NIH HHS R01 GM126189
6 · The paper itself

Abstract

The human ether-a-go-go (hERG) potassium channel (K

Indexed as

CardiotoxicityEther-A-Go-Go Potassium ChannelsEtherEthersEthyl EthersHumansMachine LearningPotassium Channel BlockersEtherEther-A-Go-Go Potassium ChannelsEthersEthyl EthersPotassium Channel BlockersAlgebraic graphsAutoencoderDeep learningDrugBankhERG blockersMachine learningTopological LaplaciansTransformer

Identifiers

PMID36599209
PMCPMC10120853
OpenAlexW4313479313

What OpenQuestion holds

Textmetadata
LicenceTDM
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.