Evidence map›Paper›PMID 38033815›Full record

ArticleFrontiers in bioengineering and biotechnology2023

Dual-function transaminases with hybrid nanoflower for the production of value-added chemicals from biobased levulinic acid.

Taresh P Khobragade, Pritam Giri, Amol D Pagar, Mahesh D Patil, Sharad Sarak, Sangwoo Joo, Younghwan Goh, Seohee Jung, Hyunseok Yoon, Subin Yun and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 58% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

12 authors at 2 institutions in 2 countries.

Taresh P KhobragadeDepartment of Systems Biotechnology, Konkuk University, Seoul, Republic of Korea.
Pritam GiriDepartment of Systems Biotechnology, Konkuk University, Seoul, Republic of Korea.
Amol D PagarDepartment of Systems Biotechnology, Konkuk University, Seoul, Republic of Korea.
Mahesh D PatilDepartment of Nanomaterials and Application Technology, Center of Innovative and Applied Bioprocessing (CIAB), Mohali, Punjab, India.
Sharad SarakDepartment of Systems Biotechnology, Konkuk University, Seoul, Republic of Korea.
Sangwoo JooDepartment of Systems Biotechnology, Konkuk University, Seoul, Republic of Korea.
Younghwan GohDepartment of Systems Biotechnology, Konkuk University, Seoul, Republic of Korea.
Seohee JungDepartment of Systems Biotechnology, Konkuk University, Seoul, Republic of Korea.
Hyunseok YoonDepartment of Systems Biotechnology, Konkuk University, Seoul, Republic of Korea.
Subin YunDepartment of Systems Biotechnology, Konkuk University, Seoul, Republic of Korea.
Youkyoung KwonDepartment of Systems Biotechnology, Konkuk University, Seoul, Republic of Korea.
Hyungdon YunDepartment of Systems Biotechnology, Konkuk University, Seoul, Republic of Korea.
Konkuk University · KRInstitute of Bioinformatics and Applied Biotechnology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The U.S. Department of Energy has listed levulinic acid (LA) as one of the top 12 compounds derived from biomass. LA has gained much attention owing to its conversion into enantiopure 4-aminopentanoic acid through an amination reaction. Herein, we developed a coupled-enzyme recyclable cascade employing two transaminases (TAs) for the synthesis of (

Indexed as

amino donorbiomassfusion proteinnanoflowertransaminase

Identifiers

PMID38033815
PMCPMC10687574
OpenAlexW4388729781

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.