Evidence map›Paper›PMID 38397107›Full record

ArticleInternational journal of molecular sciences2024

Correlation of Experimental and Calculated Inhibition Constants of Protease Inhibitor Complexes.

Peter Goettig, Xingchen Chen, Jonathan M Harris

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

3 authors at 1 institution in 2 countries.

Peter GoettigDepartment of Pharmaceutical and Medicinal Chemistry, Institute of Pharmacy, Paracelsus Medical University, Strubergasse 21, 5020 Salzburg, Austria.ORCID 0000-0002-2430-1970
Xingchen ChenInstitute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD 4059, Australia.
Jonathan M HarrisInstitute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD 4059, Australia.
Queensland University of Technology · AU

Funding

FWF Austrian Science Fund I 3877-B21
6 · The paper itself

Abstract

Predicting the potency of inhibitors is key to in silico screening of promising synthetic or natural compounds. Here we describe a predictive workflow that provides calculated inhibitory values, which concord well with empirical data. Calculations of the free interaction energy ΔG with the YASARA plugin FoldX were used to derive inhibition constants K

Indexed as

HelianthusSerine EndopeptidasesPeptide HydrolasesProtease InhibitorsTrypsinTrypsin InhibitorsPeptide HydrolasesProtease InhibitorsSerine EndopeptidasesTrypsinTrypsin Inhibitorsdissociation constantfree energyhirudininhibition constantprotease inhibitorSARS-CoV-2 main proteasesunflower trypsin inhibitorVan ’t Hoff equation

Identifiers

PMID38397107
PMCPMC10889394
OpenAlexW4391945452

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.