Evidence map›Paper›PMID 30857128›Full record

ArticleMolecules (Basel, Switzerland)2019

Structure⁻Activity Prediction of ACE Inhibitory/Bitter Dipeptides-A Chemometric Approach Based on Stepwise Regression.

Monika Hrynkiewicz, Anna Iwaniak, Justyna Bucholska, Piotr Minkiewicz, Małgorzata Darewicz

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

5 authors.

Monika HrynkiewiczFaculty of Food Science, Chair of Food Biochemistry, University of Warmia and Mazury in Olsztyn, Pl. Cieszyński 1, 10-726 Olsztyn-Kortowo, Poland. monika.protasiewicz@uwm.edu.pl.
Anna IwaniakFaculty of Food Science, Chair of Food Biochemistry, University of Warmia and Mazury in Olsztyn, Pl. Cieszyński 1, 10-726 Olsztyn-Kortowo, Poland. ami@uwm.edu.pl.ORCID 0000-0001-5068-0428
Justyna BucholskaFaculty of Food Science, Chair of Food Biochemistry, University of Warmia and Mazury in Olsztyn, Pl. Cieszyński 1, 10-726 Olsztyn-Kortowo, Poland. justyna.bucholska@uwm.edu.pl.ORCID 0000-0002-4312-6442
Piotr MinkiewiczFaculty of Food Science, Chair of Food Biochemistry, University of Warmia and Mazury in Olsztyn, Pl. Cieszyński 1, 10-726 Olsztyn-Kortowo, Poland. minkiew@uwm.edu.pl.ORCID 0000-0003-0481-1196
Małgorzata DarewiczFaculty of Food Science, Chair of Food Biochemistry, University of Warmia and Mazury in Olsztyn, Pl. Cieszyński 1, 10-726 Olsztyn-Kortowo, Poland. darewicz@uwm.edu.pl.ORCID 0000-0001-6084-1985

Funding

Project financially supported by Minister of Science and Higher Education in the range of the program entitled "Regional Initiative of Excellence" for the years 2019-2022, Project No. 010/RID/2018/19, amount of funding 12,000,000 PLN and UNIVERSITY OF WA 010/RID/2018/19
6 · The paper itself

Abstract

Forward and backward stepwise regression (FR and BR, respectively) was applied for the structure⁻bioactivity prediction of angiotensin converting enzyme (ACE)-inhibitory/bitter-tasting dipeptides. The datasets used in this study consisted of 28 sequences and numerical variables reflecting dipeptides' physicochemical nature. The data were acquired from the BIOPEP-UWM, Biological Magnetic Resonance Databank, ProtScale, and AAindex databases. The calculations were computed using STATISTICA

Indexed as

Angiotensin-Converting Enzyme InhibitorsDatabases, FactualDipeptidesQuantitative Structure-Activity RelationshipAngiotensin-Converting Enzyme InhibitorsDipeptidesACE inhibitorsbackward/forward regressionBIOPEP-UWM databasebitter dipeptides

Identifiers

PMID30857128
PMCPMC6429184

What OpenQuestion holds

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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.