Evidence map›Paper›PMID 38022701›Full record

ArticleComputational and structural biotechnology journal2023

PREDIG: Web application to model and predict the enzymatic saccharification of plant cell wall.

Partho Sakha De, Torben Glass, Merle Stein, Thomas Spitzlei, Adélaïde Raguin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computational and structural biotechnology journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Partho Sakha DeInstitute for Computational Cell Biology, Computer Science department, Heinrich Heine University, Düsseldorf, 40225, Germany.
Torben GlassInstitute for Computational Cell Biology, Computer Science department, Heinrich Heine University, Düsseldorf, 40225, Germany.
Merle SteinInstitute for Computational Cell Biology, Computer Science department, Heinrich Heine University, Düsseldorf, 40225, Germany.
Thomas SpitzleiInstitute for Computational Cell Biology, Computer Science department, Heinrich Heine University, Düsseldorf, 40225, Germany.
Adélaïde RaguinInstitute for Computational Cell Biology, Computer Science department, Heinrich Heine University, Düsseldorf, 40225, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enzymatic digestion of lignocellulosic plant biomass is a key step in bio-refinery approaches for the production of biofuels and other valuable chemicals. However, the recalcitrance of this material in conjunction with its variability and heterogeneity strongly hampers the economic viability and profitability of biofuel production. To complement both academic and industrial experimental research in the field, we designed an advanced web application that encapsulates our in-house developed complex biophysical model of enzymatic plant cell wall degradation. PREDIG (https://predig.cs.hhu.de/) is a user-friendly, free, and fully open-source web application that allows the user to perform

Indexed as

Biophysical modelBio-refineryEnzymatic saccharificationLignocellulosePlant biomassStochastic simulationsWeb applicationWeb interface

Identifiers

PMID38022701
PMCPMC10663758

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.