Evidence map›Paper›PMID 33119795›Full record

ArticleApplied microbiology and biotechnology2020

Efficient production of the anti-aging drug Cycloastragenol: insight from two Glycosidases by enzyme mining.

Leiyu Cheng, Han Zhang, Haiyang Cui, Wenya Wang, Qipeng Yuan

Abstract read
PubMed Publisher
In one paragraph

Article in Applied microbiology and biotechnology, 2020. 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
0.4field-weighted citation impact, top 36% 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, 14 citations in OpenAlex.

  1. Article
  2. Review
  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

5 authors at 3 institutions in 2 countries.

Leiyu ChengBeijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, No.15 North Third Ring East Road, Chao yang District, Beijing, 100029, People's Republic of China.
Han ZhangBeijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, No.15 North Third Ring East Road, Chao yang District, Beijing, 100029, People's Republic of China.
Haiyang CuiInstitute of Biotechnology, RWTH Aachen University, Worringerweg 3, 52074, Aachen, Germany.
Wenya WangState Key Laboratory of Chemical Resource Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, No.15 North Third Ring East Road, Chao yang District, Beijing, 100029, People's Republic of China. Wangwy@mail.buct.edu.cn.
Qipeng YuanBeijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, No.15 North Third Ring East Road, Chao yang District, Beijing, 100029, People's Republic of China. Yuanqp@mail.buct.edu.cn.ORCID http://orcid.org/0000-0003-0461-3130
Beijing University of Chemical Technology · CNPeking University · CNRWTH Aachen University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The telomerase activator cycloastragenol (CA) is regarded as a potential anti-aging drug with promising applications in the food and medical industry. However, one remaining challenge is the low efficiency of CA production. Herein, we developed an enzyme-based approach by applying two enzymes (β-xylosidase: Xyl-T; β-glucosidase: Bgcm) for efficient CA production. Both key glycosidases, mined by activity tracking or homology sequence screening, were successfully over-expressed and showed prominent enzymatic activity profiles, including widely pH stability (Xyl-T: pH 3.0-8.0; Bgcm: pH 4.0-10.0), high catalytic efficiency (k

Indexed as

Pharmaceutical PreparationsSapogeninsEnzyme StabilityGlycoside HydrolasesKineticscycloastragenolGlycoside HydrolasesPharmaceutical PreparationsSapogeninsCycloastragenolTwo-step enzymatic catalysisβ-Glucosidaseβ-Xylosidase

Identifiers

PMID33119795
OpenAlexW3096290777

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.