Evidence map›Paper›PMID 30073500›Full record

ArticleJournal of computer-aided molecular design2018

The SAMPL6 challenge on predicting aqueous pK

Nicolas Tielker, Lukas Eberlein, Stefan Güssregen, Stefan M Kast

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of computer-aided molecular design, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Benchmarking pJournal of chemical information and modeling · 2026
    Article
  2. Review
  3. Article
  4. Solvent-Controlled Separation of Integratively Self-Sorted PdAngewandte Chemie (International ed. in English) · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Improving Small Molecule pKFrontiers in chemistry · 2022
    Article
  9. Article
  10. SAMPL7 physical property prediction from EC-RISM theory.Journal of computer-aided molecular design · 2021
    Article
  11. Evaluation of log P, pKJournal of computer-aided molecular design · 2021
    Article
  12. Article
  13. Overview of the SAMPL6 pKJournal of computer-aided molecular design · 2021
    Article
  14. Asymmetric Interplay Between KFrontiers in physiology · 2021
    Article
  15. Standard state free energies, not pKJournal of computer-aided molecular design · 2020
    Article
  16. SAMPL6 logP challenge: machine learning and quantum mechanical approaches.Journal of computer-aided molecular design · 2020
    Article
  17. Article
  18. Article
  19. Article
  20. pKJournal of molecular modeling · 2019
    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

4 authors.

Nicolas TielkerPhysikalische Chemie III, Technische Universität Dortmund, Otto-Hahn-Str. 4a, 44227, Dortmund, Germany.
Lukas EberleinPhysikalische Chemie III, Technische Universität Dortmund, Otto-Hahn-Str. 4a, 44227, Dortmund, Germany.
Stefan GüssregenSanofi-Aventis Deutschland GmbH, R&D Integrated Drug Discovery, 65926, Frankfurt am Main, Germany.
Stefan M KastPhysikalische Chemie III, Technische Universität Dortmund, Otto-Hahn-Str. 4a, 44227, Dortmund, Germany. stefan.kast@tu-dortmund.de.ORCID 0000-0001-7346-7064

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The "embedded cluster reference interaction site model" (EC-RISM) integral equation theory is applied to the problem of predicting aqueous pK

Indexed as

Models, ChemicalComputer SimulationDatabases, ChemicalHydrocarbons, CyclicModels, TheoreticalMolecular ConformationSolutionsSolventsStatic ElectricityThermodynamicsWaterHydrocarbons, CyclicSolutionsSolventsWaterEC-RISMIntegral equation theorypK aQuantum chemistrySAMPL6Solvation model

Identifiers

What OpenQuestion 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 OpenQuestion graph.