Evidence map›Paper›PMID 37367882›Full record

ArticleMetabolites2023

Metabolic Modeling of

Kristina Grausa, Shahida A Siddiqui, Norbert Lameyer, Karin Wiesotzki, Sergiy Smetana, Agris Pentjuss

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 2 countries.

Kristina GrausaDepartment of Computer Systems, Latvia University of Life Sciences and Technologies, LV-3001 Jelgava, Latvia.
Shahida A SiddiquiCampus Straubing for Biotechnology and Sustainability, Technical University of Munich, Essigberg 3, D-94315 Straubing, Germany.ORCID 0000-0001-6942-4408
Norbert LameyerGerman Institute of Food Technologies (DIL e.V.), 49610 Quakenbrück, Germany.
Karin WiesotzkiGerman Institute of Food Technologies (DIL e.V.), 49610 Quakenbrück, Germany.
Sergiy SmetanaGerman Institute of Food Technologies (DIL e.V.), 49610 Quakenbrück, Germany.ORCID 0000-0002-5471-0521
Agris PentjussDepartment of Computer Systems, Latvia University of Life Sciences and Technologies, LV-3001 Jelgava, Latvia.ORCID 0000-0001-7880-5130
German Institute of Food Technologies · DELatvia University of Life Sciences and Technologies · LV

Funding

FACCE SURPLUS and supported by No. 23-11.17e/20/173 "Sustainable up-cycling of agricultural residues: modular cascading waste conversion system" (UpWaste) No. 23-11.17e/20/173). German Federal Ministry of Education and Research (BMBF), in the frame of FACCE-SURPLUS/FACCE-JPI project UpWaste grant number 031B0934A and 031B0934B
6 · The paper itself

Abstract

All plant and animal kingdom organisms use highly connected biochemical networks to facilitate sustaining, proliferation, and growth functions. While the biochemical network details are well known, the understanding of the intense regulation principles is still limited. We chose to investigate the

Indexed as

fatty acidsHermetia illucensinsectsmetabolic modelingresource allocation

Identifiers

PMID37367882
PMCPMC10304575
OpenAlexW4379472409

What Socratic 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 Socratic graph.