Evidence map›Paper›PMID 35721000›Full record

ArticleFrontiers in chemistry2022

Improving Small Molecule pK

Fritz Mayr, Marcus Wieder, Oliver Wieder, Thierry Langer

Abstract read
In one paragraph

Article in Frontiers in chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Can Graph Neural Networks Understand Chemical Elements?Journal of chemical information and modeling · 2026
    Article
  2. EasyDock 1.3: An Automated Pipeline for Molecular Docking.Journal of chemical information and modeling · 2026
    Article
  3. Unifying pJournal of chemical information and modeling · 2026
    Article
  4. Article
  5. Machine Learning-Driven QSAR Modeling for pKInternational journal of molecular sciences · 2026
    Article
  6. Benchmarking pJournal of chemical information and modeling · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. pEnvironmental science & technology · 2025
    Article
  11. Article
  12. Interpretable Deep-Learning pJournal of chemical information and modeling · 2025
    Article
  13. Article
  14. QupKake: Integrating Machine Learning and Quantum Chemistry for Micro-pJournal of chemical theory and computation · 2024
    Article
  15. Article
  16. Open-Source Machine Learning in Computational Chemistry.Journal of chemical information and modeling · 2023
    Review
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

4 authors.

Fritz MayrDepartment of Pharmaceutical Sciences, Pharmaceutical Chemistry Division, University of Vienna, Vienna, Austria.
Marcus WiederDepartment of Pharmaceutical Sciences, Pharmaceutical Chemistry Division, University of Vienna, Vienna, Austria.
Oliver WiederDepartment of Pharmaceutical Sciences, Pharmaceutical Chemistry Division, University of Vienna, Vienna, Austria.
Thierry LangerDepartment of Pharmaceutical Sciences, Pharmaceutical Chemistry Division, University of Vienna, Vienna, Austria.

Funding

Austrian Science Fund FWF J 4245
6 · The paper itself

Abstract

Enumerating protonation states and calculating microstate pK

Indexed as

Graph Neural Network (GNN)physical propertiesPKAprotonation statestransfer learning

Identifiers

PMID35721000
PMCPMC9204323

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.